[ { "id": "aiDeploymentTesting", "label": "AI Deployment Testing", "questions": [ { "id": "cl001", "question": "What is Adrosaga?", "answer": "Adrosaga is a global human testing and data platform that helps organisations test, validate and improve AI systems with real people. Companies can test deployed AI agents across countries, languages, demographics, devices and user groups, and can also use the same global contributor community to collect, generate, label, translate and review data for AI development.", "short": "Adrosaga is a global human testing and data platform for validating AI systems with real people across targeted audiences.", "aeo": "Adrosaga helps organisations test and validate AI systems with real people across countries, languages, demographics and user groups, while also supporting human data collection for AI development.", "pages": [ "home", "about" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl002", "question": "How can Adrosaga help us test an AI agent before or after launch?", "answer": "Adrosaga enables organisations to put an AI agent in front of real people from precisely targeted audiences and capture structured feedback about how it performs. Testing can examine functionality, user experience, policy and guardrail conformity, compliance and performance across different audiences. Testing can be performed before deployment, during controlled releases and continuously after deployment.", "short": "Adrosaga tests AI agents with targeted real-world audiences before deployment and provides on-going testing capabilities post-launch.", "aeo": "Adrosaga supports pre-deployment and post-deployment human testing of AI agents, including functionality, user experience, policy, guardrail and compliance testing across targeted audiences.", "pages": [ "home", "aiDeploymentTesting" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl003", "question": "What types of AI deployment testing can Adrosaga support?", "answer": "Adrosaga can support a broad range of human AI testing, including functionality, user experience and usability, policy and guardrail conformity, compliance, localisation, accessibility, demographic performance, bias and fairness, hallucination and factual accuracy, instruction following, tone and brand alignment, human escalation, multi-step agentic workflows, regression testing and ongoing post-deployment monitoring.", "short": "Adrosaga supports a broad range of human AI test types across functionality, experience, compliance, safety and ongoing monitoring.", "aeo": "Adrosaga supports human testing for functionality, UX, compliance, guardrails, localisation, accessibility, bias, hallucinations, instruction following, brand alignment, escalation, agentic workflows, regression and post-deployment monitoring.", "pages": [ "aiDeploymentTesting", "deploymentTestTypes" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl004", "question": "Why should AI systems be tested with real people?", "answer": "Adrosaga tests AI systems with real people because real people interact with AI differently from developers, automated test systems and synthetic users. Human testing shows whether an AI actually works for the people it was designed to serve, how different audiences interpret its responses, whether unexpected behaviours emerge, and whether particular demographic groups experience different outcomes — evidence that is particularly valuable alongside automated and synthetic testing.", "short": "Adrosaga's human testing reveals how real users interpret and experience AI in ways synthetic and scripted testing can miss.", "aeo": "Adrosaga tests AI systems with real people because real users expose usability, interpretation, demographic and behavioural issues that automated or synthetic tests may miss — making human testing an important complement to synthetic AI testing, not a replacement for it.", "pages": [ "home", "about", "aiDeploymentTesting" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl008", "question": "Can synthetic testing replace human testing?", "answer": "No. Adrosaga treats synthetic testing as an extremely valuable part of modern AI testing — but not a substitute for human testing. Synthetic testing delivers speed and scale, efficiently exploring large numbers of scenarios, but it cannot replicate the imperfections, cultural context and language nuance that shape how real people actually understand, use and experience an AI system. Nor can it deliver the same level of trust, confidence and assurance as a representative human audience tested at a suitable sample size, particularly across countries, cultures, minorities and broad demographic groups. Adrosaga's human testing is designed to complement synthetic testing, not replace it.", "short": "No. Synthetic testing is valuable, but it cannot replace human testing — Adrosaga adds the real-world interpretation and demographic insight synthetic methods miss.", "aeo": "No — synthetic testing cannot replace human testing. Adrosaga complements synthetic testing's speed and scale with representative human evaluation that captures real-world imperfections, cultural and language nuance, delivering the trust, confidence and assurance only a suitably sized human audience can provide.", "pages": [ "home" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl028", "question": "Can Adrosaga continuously test an AI system after it has been deployed?", "answer": "Yes. Adrosaga is well suited to ongoing functionality, user experience and compliance testing after an AI system has gone live. Repeated testing is important for detecting model drift and changes caused by learning or feedback loops, model updates, system-prompt changes, guardrail changes, RAG content or configuration changes, or modified tools and integrations.", "short": "Yes. Adrosaga's ongoing human testing can monitor model drift and changes across the AI harness after deployment.", "aeo": "Adrosaga supports continuous post-deployment AI testing to monitor functionality, UX and compliance after model updates, learning-loop changes, prompt or guardrail changes, RAG updates and integration changes.", "pages": [], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl029", "question": "How quickly can Adrosaga launch an AI testing project?", "answer": "An Adrosaga testing project can potentially be launched within 24 hours when the client has the key inputs ready: the target audience, the version of the AI agent or system to be tested, and the questions, scenarios or work items contributors will complete. More complex projects may need additional setup for integrations, credentials, methodology or specialist audiences.", "short": "Adrosaga projects can potentially launch within 24 hours once the audience, agent version and test content are ready.", "aeo": "Adrosaga can potentially launch an AI testing project within 24 hours when the target audience, AI agent version and test questions or work items are ready.", "pages": [], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl030", "question": "How long does an Adrosaga testing or data task take to complete?", "answer": "Completion time depends on project scale, complexity, target audience, contributor expertise and response volume. Adrosaga is designed for speed and quality, with built-in automation for matching, distribution, communications, orchestration and data processing. Appropriately scoped tasks with an available audience can be completed within days.", "short": "Timing varies, but Adrosaga can complete appropriately scoped tasks within days.", "aeo": "Adrosaga is designed for speed and quality. While timing depends on scope and audience, appropriately configured AI testing and data tasks can be completed within days.", "pages": [], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl037", "question": "How can Adrosaga help us decide whether an AI agent is ready to go live?", "answer": "Adrosaga helps organisations build independent evidence that an AI agent is ready to represent the company in front of real users. As AI agents become easier to build, the harder challenge is deciding whether they can be trusted to perform effectively, stay within company policies and guardrails, and meet compliance expectations. Adrosaga is independent of the team that designed and built the agent, reducing the risk of the development team effectively marking its own homework. By testing the agent with an appropriately sized and representative human audience and reporting the objective, methodology, audience, responses, findings and evidence, Adrosaga gives deployment approvers a stronger basis for a go-live decision.", "short": "Adrosaga's independent human testing gives deployment approvers stronger evidence that an AI agent is ready to represent the company.", "aeo": "Adrosaga provides independent third-party human testing of AI agents using representative audiences, giving go-live decision-makers evidence on functionality, policy, guardrail and compliance performance rather than relying only on the team that built the agent.", "pages": [ "aiDeploymentTesting", "deploymentTestTypes" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl040", "question": "Are humans useful for testing multi-step AI agents and workflows?", "answer": "Yes. Multi-step and agentic workflow testing is a core use case for Adrosaga, because real users don't always follow the sequence designers anticipate. Contributors can follow interactions across several steps, assess whether context is preserved, identify where workflows break down, and determine whether the final outcome matches the user's original objective — especially valuable for agentic systems that use tools, retrieve information, make decisions or perform actions.", "short": "Yes. Adrosaga's human testing is built to expose failures across unpredictable multi-step agent workflows.", "aeo": "Adrosaga's human testers evaluate multi-step AI agents across changing user behaviour, context retention, tool use and final outcomes, revealing workflow failures scripted tests may miss.", "pages": [ "bpo" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl041", "question": "Can Adrosaga test whether an AI agent correctly escalates to a human?", "answer": "Yes. Adrosaga can test whether an AI recognises when human escalation is required, escalates at the appropriate point, communicates the escalation clearly, transfers necessary context to the human operator, avoids unnecessary escalation and provides a satisfactory experience across the AI-to-human transition.", "short": "Yes. Adrosaga can test the full AI-to-human escalation journey.", "aeo": "Adrosaga can test when and how an AI escalates to a human, including escalation timing, communication, context transfer, unnecessary escalation and the end-to-end user experience.", "pages": [ "banking", "insurance", "healthcare", "government", "retail", "bpo" ], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl065", "question": "Is there a limit to how many tests I can run?", "answer": "No. Adrosaga doesn't impose a limit on the number of tests you can run. You can submit as many testing projects as you need — each one is costed individually through the pricing calculator and in-platform pricing engine before you click Submit.", "short": "No. There is no cap on the number of tests you can run — each is costed individually before you submit.", "aeo": "No — Adrosaga places no limit on how many tests you can run. Every testing project is priced individually through the pricing calculator and in-platform pricing engine before submission.", "pages": [], "link": null, "category": "aiDeploymentTesting" }, { "id": "cl067", "question": "What do I need to set up my first project?", "answer": "Adrosaga needs three things to set up a testing project: your target audience, the version of the AI agent or system to be tested, and the questions, scenarios or work items contributors will complete. With those ready, a project can potentially launch within 24 hours; more complex projects may need extra setup for integrations or specialist audiences. Prefer a guided start? Adrosaga also offers a free 30-minute demo walking through test setup, contributor targeting and evidence output, with no commitment required.", "short": "Adrosaga needs your target audience, the AI agent version to test, and the test questions or work items — or book a free 30-minute demo for a guided walkthrough instead.", "aeo": "Adrosaga needs three inputs to set up a testing project: your target audience, the AI agent or system being tested, and the questions or work items contributors will complete. Prefer guidance first? Adrosaga also offers a free 30-minute demo covering test setup and evidence output, with no commitment required.", "pages": [], "link": null, "category": "aiDeploymentTesting" } ] }, { "id": "globalAudiences", "label": "Global Audiences", "questions": [ { "id": "cl005", "question": "Can Adrosaga test an AI system with specific demographic or user groups?", "answer": "Yes. Adrosaga can target testing using contributor attributes such as country, region, language, dialect, fluency, age, education, employment, industry experience, software skills, interests, accessibility requirements and other relevant characteristics. Different audience groups can be included within the same test and compared in reporting.", "short": "Yes. Adrosaga tests can target precisely defined demographic, professional, linguistic and user groups.", "aeo": "Adrosaga can target AI testing by geography, language, dialect, fluency, demographics, experience, skills and accessibility needs, and compare different groups within the same test.", "pages": [], "link": null, "category": "globalAudiences" }, { "id": "cl006", "question": "Can Adrosaga conduct AI testing in multiple languages and countries?", "answer": "Yes. Adrosaga is designed for global testing. Contributors can be targeted by country, region, language, regional dialect and level of fluency. The Adrosaga platform itself is automatically translated into more than 100 languages, helping contributors participate in their preferred language. Different language, dialect and fluency groups can be included within the same test and the report can be filtered to compare their responses.", "short": "Yes. Adrosaga supports global testing by country, language, dialect and fluency, with the platform translated into more than 100 languages.", "aeo": "Adrosaga supports global AI testing across countries, languages, dialects and fluency levels. Its platform is automatically translated into more than 100 languages, and results can be filtered by language and fluency within the same test.", "pages": [ "yourIndustry", "government", "retail", "bpo" ], "link": null, "category": "globalAudiences" }, { "id": "cl007", "question": "Can Adrosaga test whether an AI works differently for different demographic groups?", "answer": "Yes. Adrosaga is built to detect differential AI behaviour across demographic groups — clients can structure the same test across multiple audiences and compare results, with reporting filterable by relevant characteristics to identify differences in usability, interpretation, performance or outcomes.", "short": "Yes. Adrosaga's tests compare how different demographic groups experience the same AI system.", "aeo": "Adrosaga can run one AI test across multiple demographic audiences and filter the report by audience characteristics to reveal differences in experience, performance or outcomes.", "pages": [ "yourIndustry", "banking", "insurance", "healthcare", "government" ], "link": null, "category": "globalAudiences" }, { "id": "cl017", "question": "Can we use our own employees or customers as the testing audience?", "answer": "Yes. Adrosaga lets clients use their own employees, customers or other invited audiences rather than relying exclusively on the global contributor community. This gives clients access to Adrosaga's task orchestration, structured testing and reporting capabilities with audiences they already control, and the option to combine internal or customer audiences with independent external contributors when broader validation is required.", "short": "Yes. Adrosaga lets clients test with their own employees, customers or invited audiences, alone or alongside the Adrosaga crowd.", "aeo": "Adrosaga supports internal staff, customer and invited-audience testing, allowing organisations to use the same testing and reporting workflows with their own audiences or combine them with independent global contributors.", "pages": [], "link": null, "category": "globalAudiences" }, { "id": "cl042", "question": "Can Adrosaga test AI systems across different languages, dialects and levels of fluency?", "answer": "Yes. Adrosaga can target contributors according to language, regional dialect and level of fluency. Different fluency groups can be included within the same test rather than requiring separate projects, and the report can then be filtered by language, dialect or fluency to compare how different audiences experienced the same AI system.", "short": "Yes. Adrosaga tests language, dialect and fluency groups within the same test and compares them in reporting.", "aeo": "Adrosaga can test AI across languages, regional dialects and fluency levels within one test, then filter reporting by those characteristics to reveal differences in performance or experience.", "pages": [ "yourIndustry", "healthcare", "retail", "bpo" ], "link": null, "category": "globalAudiences" } ] }, { "id": "aiTrainingData", "label": "AI Training Data", "questions": [ { "id": "cl009", "question": "How can Adrosaga help companies build and improve AI systems?", "answer": "In addition to deployment testing, Adrosaga can provide targeted human-generated data to train, evaluate and improve AI systems. Contributors can create, label, classify, translate, review and evaluate data according to defined project requirements.", "short": "Adrosaga can also provide targeted human-generated data to train, evaluate and improve AI systems.", "aeo": "Beyond deployment testing, Adrosaga supports human-generated and human-labelled data for AI training, evaluation and improvement.", "pages": [ "aiModelTraining", "modelTrainingTasks" ], "link": "/ai-model-training", "category": "aiTrainingData" }, { "id": "cl010", "question": "Can Adrosaga collect proprietary AI training data?", "answer": "Yes. Adrosaga allows organisations to commission new human-generated data specifically for their models, products or use cases rather than relying exclusively on publicly available datasets. Projects can be targeted to particular markets, audiences, expertise levels or demographic groups.", "short": "Yes. Adrosaga lets organisations commission proprietary human-generated datasets designed around their own AI needs.", "aeo": "Adrosaga can collect proprietary human-generated AI training data targeted to specific markets, audiences, expertise levels and use cases.", "pages": [ "aiModelTraining", "modelTrainingTasks" ], "link": null, "category": "aiTrainingData" } ] }, { "id": "qualityCommunity", "label": "Quality & Contributor Community", "questions": [ { "id": "cl011", "question": "Can multiple people test or review the same AI interaction or data item?", "answer": "Yes. Adrosaga can allocate the same work item to multiple independent contributors. This enables clients to collect multiple human judgements, measure agreement, compare perspectives and use consensus or disagreement as part of the quality methodology.", "short": "Yes. Adrosaga supports multiple independent contributors reviewing the same item.", "aeo": "Adrosaga can assign the same AI interaction or data item to multiple independent contributors to support consensus, comparison and quality assurance.", "pages": [ "aiModelTraining", "modelTrainingTasks" ], "link": null, "category": "qualityCommunity" }, { "id": "cl018", "question": "How does Adrosaga detect and prevent contributor fraud?", "answer": "Fraud detection is an ongoing process throughout the contributor lifecycle, not just a registration check. Adrosaga uses specialist fraud and identity technology, device and behavioural signals, duplicate-account detection, contributor risk profiles and human review of ambiguous cases. Risk information can continue to be updated as contributors use the platform.", "short": "Adrosaga's fraud detection continues throughout the contributor lifecycle, using automated signals and human review.", "aeo": "Adrosaga uses ongoing fraud screening, device and behavioural signals, duplicate-account detection, risk profiles and human review throughout the contributor lifecycle.", "pages": [], "link": null, "category": "qualityCommunity" }, { "id": "cl019", "question": "Does Adrosaga verify contributor identity?", "answer": "Yes. Identity verification is a core part of Adrosaga's quality controls — contributors are screened through specialist identity and fraud systems, and KYC verification is required before their first payout.", "short": "Yes. Adrosaga requires KYC identity verification before contributors can receive their first payout.", "aeo": "Adrosaga requires KYC identity verification before contributor payouts and uses specialist identity and fraud systems while leaving identity documents with the specialist provider.", "pages": [], "link": null, "category": "qualityCommunity" }, { "id": "cl020", "question": "How does Adrosaga achieve high-quality human testing and data results?", "answer": "Adrosaga combines community engagement, task-specific contributor ranking, quality tracking and fair contributor treatment. Contributors build experience for each type of task and are ranked accordingly, while badges, achievements and recognition encourage sustained participation and strong performance. Adrosaga also pledges to pay contributors fairly and promptly, provide transparency about work and compensation, and communicate fairly and respectfully. These practices, combined with audience targeting and multiple independent reviews where needed, help build a trusted community capable of increasingly reliable results.", "short": "Quality comes from task-specific rankings, strong quality controls, and Adrosaga's pledge to pay contributors fairly, promptly and respectfully.", "aeo": "Adrosaga drives quality through task-specific contributor rankings, badges and achievements, ongoing performance tracking, precise audience targeting and a contributor pledge focused on fair and prompt pay, transparency and respectful communication.", "pages": [ "aiModelTraining", "modelTrainingTasks" ], "link": null, "category": "qualityCommunity" }, { "id": "cl021", "question": "How are contributors ranked for different types of work?", "answer": "Adrosaga builds task-specific experience profiles rather than treating every contributor as equally suited to every task. Contributor activity, experience and performance can be tracked across different work categories, helping identify people who have demonstrated stronger capability for particular task types and match future work accordingly.", "short": "Adrosaga builds separate experience and ranking signals for contributors across different types of work.", "aeo": "Adrosaga ranks contributors by task-specific experience and performance, helping match future AI testing and data work to people with demonstrated capability in that category.", "pages": [], "link": null, "category": "qualityCommunity" } ] }, { "id": "integrations", "label": "Integrations & Orchestration", "questions": [ { "id": "cl012", "question": "Can Adrosaga handle large-scale testing and data projects?", "answer": "Yes. Adrosaga is designed to orchestrate projects ranging from targeted specialist testing to large global programs involving thousands of contributors and hundreds of thousands of work items. This scale is designed to support multiple concurrent programs running in parallel, rather than one large engagement at a time.", "short": "Yes. Adrosaga is designed to orchestrate projects ranging from targeted specialist testing to large global programs involving thousands of contributors and hundreds of thousands of work items.", "aeo": "Adrosaga supports large-scale AI testing and data projects using platform orchestration, APIs, structured imports and exports, and mapping between client data and Adrosaga work items.", "pages": [ "aiModelTraining", "modelTrainingTasks" ], "link": null, "category": "integrations" }, { "id": "cl013", "question": "Can we import, export or integrate large volumes of work items?", "answer": "Yes. Clients can use CSV and Excel import/export workflows to move large volumes of work items and results. Adrosaga supports mapping between client data structures and platform work-item structures, while API-based orchestration can support more automated or recurring workflows.", "short": "Yes. Adrosaga moves large volumes through import/export, mapping and API-based workflows.", "aeo": "Adrosaga supports CSV and Excel import/export, data mapping and API-based orchestration for large or recurring testing and data workflows.", "pages": [], "link": null, "category": "integrations" }, { "id": "cl027", "question": "Does Adrosaga provide an API for integrating testing with our existing systems?", "answer": "Yes. Adrosaga is designed to support integration and orchestration through APIs as well as platform-based workflows and structured imports and exports. This can connect human testing and data workflows with existing AI systems, operational platforms and data pipelines and reduce manual administration for recurring programs.", "short": "Yes. Adrosaga's APIs, imports and exports integrate with existing systems and recurring workflows.", "aeo": "Adrosaga supports API-based orchestration plus structured imports and exports, allowing AI testing and human-data workflows to integrate with existing enterprise systems and data pipelines.", "pages": [], "link": null, "category": "integrations" }, { "id": "cl031", "question": "Can I run an ongoing task and provide new batches of content every day?", "answer": "Yes. Adrosaga can support ongoing tasks where new batches of content, test cases or work items are added on a recurring basis. As each batch becomes available, eligible contributors can accept and complete it. Clients can limit how many batches an individual contributor may complete, helping broaden the contributor sample, control participation and avoid over-reliance on the same people.", "short": "Yes. Adrosaga lets clients add new batches daily, with controls over how many batches each contributor may complete.", "aeo": "Adrosaga supports recurring tasks with new daily batches of content or test cases. Eligible contributors can accept each batch, and clients can cap the number of batches completed by any one contributor.", "pages": [], "link": null, "category": "integrations" }, { "id": "cl068", "question": "Can Adrosaga automate large-scale testing and data projects?", "answer": "Yes. Adrosaga includes built-in automation for matching contributors to work, distribution, communications, orchestration and data processing, so large programs don't require proportionally more manual effort as they grow. Reporting is automated too — live results and methodology are available as testing runs, and Adrosaga's AI Data Scientist capability can automatically analyse large volumes of responses to surface themes, sentiment and differences across audiences. This runs alongside the platform, APIs and import/export workflows used to move data and work items at scale, keeping repeatable programs efficient to manage.", "short": "Yes. Adrosaga's built-in automation covers matching, distribution, communications, orchestration, data processing and reporting, including an AI Data Scientist capability for automated analysis.", "aeo": "Adrosaga automates large-scale testing and data projects through built-in automation for matching, distribution, communications, orchestration, data processing and reporting — including an AI Data Scientist capability that automatically analyses large volumes of responses. This reduces manual overhead as programs grow, alongside APIs and import/export workflows for moving data at scale.", "pages": [], "link": null, "category": "integrations" } ] }, { "id": "security", "label": "Security & Confidentiality", "questions": [ { "id": "cl014", "question": "How does Adrosaga protect confidential AI systems and projects?", "answer": "Adrosaga supports confidentiality controls, NDAs and controlled access to project information. Where contributors need access to a client's AI agent, application or test environment, controlled credentials or test accounts can be allocated to individual contributors. Credentials can be restricted to the intended environment and forfeited or disabled when the contributor completes the task.", "short": "Adrosaga uses confidentiality controls, NDAs and restricted task credentials that can be disabled after testing.", "aeo": "Adrosaga protects confidential AI testing through NDAs, controlled project access and contributor-specific credentials that can be restricted and forfeited or disabled when testing is complete.", "pages": [], "link": null, "category": "security" }, { "id": "cl015", "question": "Can contributors sign an NDA before seeing our project?", "answer": "Yes. A task can require a non-disclosure agreement before a contributor receives access to protected project information. Clients can use an Adrosaga NDA or provide their own NDA and confidentiality requirements.", "short": "Yes. Adrosaga can require contributors to accept an NDA before accessing protected project information.", "aeo": "Adrosaga can require contributors to accept an NDA before accessing confidential AI testing or data projects, using either an Adrosaga NDA or a client-provided agreement.", "pages": [], "link": null, "category": "security" }, { "id": "cl016", "question": "Can Adrosaga support projects involving biometric, sensitive or potentially offensive content?", "answer": "Yes. Adrosaga is built to handle sensitive content responsibly — clients can flag tasks involving biometric, sensitive or potentially offensive material during project configuration, contributors are informed before participating, and contributor preferences can exclude categories of work they have opted out of.", "short": "Yes. Adrosaga discloses and appropriately matches sensitive, biometric and potentially offensive tasks.", "aeo": "Adrosaga supports biometric and sensitive-content projects with upfront disclosure, contributor preferences and appropriate task controls.", "pages": [ "yourIndustry", "healthcare" ], "link": null, "category": "security" }, { "id": "cl038", "question": "How do Adrosaga contributors access our AI agent during testing?", "answer": "For Adrosaga's initial platform launch, the client's AI agent remains separate from the Adrosaga platform. The client provides contributors with access to the specific version of the AI agent within scope, using controlled credentials or test accounts where required. Credentials can be assigned to individual contributors and forfeited or disabled when participation is complete. Adrosaga plans to introduce Bring Your Own Agent capability progressively in later phases to make this integration more seamless.", "short": "At Adrosaga's initial platform launch, clients provide controlled access to the specific external agent version being tested.", "aeo": "At Adrosaga's initial platform launch, the client's AI agent remains separate from Adrosaga. Clients provide controlled access to the nominated agent version, with contributor-specific credentials that can be disabled after testing.", "pages": [ "aiDeploymentTesting" ], "link": null, "category": "security" }, { "id": "cl070", "question": "Where does Adrosaga store our data?", "answer": "Adrosaga hosts platform data on AWS and MongoDB Atlas in the AWS Europe (Ireland) region. A small number of specialist providers, such as identity verification and payouts, may process data in other countries under contractual safeguards. These providers are listed in Adrosaga's sub-processor register at adrosaga.com/subprocessors.", "short": "Adrosaga hosts platform data on AWS and MongoDB Atlas in the AWS Europe (Ireland) region. A few specialist providers may process data elsewhere under contractual safeguards.", "aeo": "Adrosaga stores platform data on AWS and MongoDB Atlas in the AWS Europe (Ireland) region. A small number of specialist providers, such as identity verification and payouts, may process data in other countries under contractual safeguards and are listed in the sub-processor register at adrosaga.com/subprocessors.", "pages": [], "link": null, "category": "security" }, { "id": "cl071", "question": "Does Adrosaga encrypt our data?", "answer": "Yes. Adrosaga encrypts data in transit with TLS 1.2 or higher, and at rest in databases, file storage and backups.", "short": "Yes. Adrosaga encrypts data in transit (TLS 1.2 or higher) and at rest in databases, file storage and backups.", "aeo": "Yes. Adrosaga encrypts client data in transit using TLS 1.2 or higher, and at rest across databases, file storage and backups.", "pages": [], "link": null, "category": "security" }, { "id": "cl072", "question": "Who at Adrosaga can access our data?", "answer": "Only Adrosaga staff whose role requires it. Access is granted per person through single sign-on with MFA, and is removed when no longer needed.", "short": "Only Adrosaga staff whose role requires it, granted per person through single sign-on with MFA and removed when no longer needed.", "aeo": "At Adrosaga, only staff whose role requires access can see client data. Access is granted per person through single sign-on with multi-factor authentication (MFA) and is removed when no longer needed.", "pages": [], "link": null, "category": "security" }, { "id": "cl073", "question": "Is our data kept separate from other clients' data?", "answer": "Yes. Adrosaga logically separates each client's data within the platform and applies access checks on every request.", "short": "Yes. Adrosaga logically separates each client's data within the platform and checks access on every request.", "aeo": "Yes. Adrosaga keeps each client's data logically separated within the platform and applies access checks on every request.", "pages": [], "link": null, "category": "security" }, { "id": "cl074", "question": "Does Adrosaga hold SOC 2 or ISO 27001 certification?", "answer": "Not yet. Adrosaga is working towards both, and its practices are already aligned with them. Adrosaga's hosting providers, AWS and MongoDB Atlas, are certified to both.", "short": "Not yet. Adrosaga is working towards SOC 2 and ISO 27001, and its hosting providers (AWS and MongoDB Atlas) are certified to both.", "aeo": "Adrosaga does not yet hold SOC 2 or ISO 27001 certification. It is working towards both, and its practices are already aligned with them. Its hosting providers, AWS and MongoDB Atlas, are certified to both.", "pages": [], "link": null, "category": "security" }, { "id": "cl076", "question": "How does Adrosaga handle vulnerabilities?", "answer": "Adrosaga keeps dependencies up to date, reviews code before release and prioritises security fixes. Vulnerabilities can be reported to security@adrosaga.com under Adrosaga's Responsible Disclosure Policy.", "short": "Adrosaga keeps dependencies up to date, reviews code before release and prioritises security fixes. Report vulnerabilities to security@adrosaga.com.", "aeo": "Adrosaga handles vulnerabilities by keeping dependencies up to date, reviewing code before release and prioritising security fixes. Vulnerabilities can be reported to security@adrosaga.com under Adrosaga's Responsible Disclosure Policy.", "pages": [], "link": null, "category": "security" }, { "id": "cl077", "question": "What happens if there is a security incident at Adrosaga?", "answer": "If a security incident occurs, Adrosaga investigates, contains and fixes the issue. Adrosaga notifies affected clients without undue delay and within legal or contractual timeframes, with details of what happened and what Adrosaga has done.", "short": "Adrosaga investigates, contains and fixes the issue, and notifies affected clients without undue delay and within legal or contractual timeframes.", "aeo": "If a security incident occurs, Adrosaga investigates, contains and fixes the issue, then notifies affected clients without undue delay and within legal or contractual timeframes, with details of what happened and what Adrosaga has done.", "pages": [], "link": null, "category": "security" }, { "id": "cl078", "question": "Does Adrosaga back up our data, and can it be recovered?", "answer": "Yes. Adrosaga backs up the production database automatically every 6 hours and can restore it to any point in the last 7 days. Longer-term snapshots are kept for up to 12 months. Stored files are versioned, so earlier versions can be recovered.", "short": "Yes. Adrosaga backs up the production database every 6 hours and can restore it to any point in the last 7 days. Longer-term snapshots are kept for up to 12 months.", "aeo": "Yes. Adrosaga automatically backs up the production database every 6 hours and can restore it to any point in the last 7 days. Longer-term snapshots are kept for up to 12 months, and stored files are versioned so earlier versions can be recovered.", "pages": [], "link": null, "category": "security" }, { "id": "cl079", "question": "Which privacy laws does Adrosaga comply with?", "answer": "Adrosaga is established in Singapore and complies with the PDPA, with the PDPC as its lead supervisory authority. Where the people whose data Adrosaga processes are elsewhere, it also meets the laws that apply to them, including the EU and UK GDPR, the Australian Privacy Act and the California CCPA/CPRA.", "short": "Adrosaga is established in Singapore and complies with the PDPA. It also meets the laws that apply to people elsewhere, including the EU and UK GDPR, the Australian Privacy Act and the California CCPA/CPRA.", "aeo": "Adrosaga is established in Singapore and complies with the PDPA, with the PDPC as its lead supervisory authority. Where the people whose data it processes are elsewhere, Adrosaga also meets the laws that apply to them, including the EU and UK GDPR, the Australian Privacy Act and the California CCPA/CPRA.", "pages": [], "link": null, "category": "security" }, { "id": "cl080", "question": "What happens to our data when our Adrosaga contract ends?", "answer": "When a contract ends, Adrosaga gives clients 30 days to export their data. After that, Adrosaga deletes it from production systems within 30 days. Copies in backups are not accessed or used, and expire as backups rotate out, within 12 months at most. Billing records are kept for 7 years for tax and accounting.", "short": "Clients have 30 days to export their data. Adrosaga then deletes it from production systems within 30 days; backup copies expire within 12 months at most.", "aeo": "When a contract ends, Adrosaga gives clients 30 days to export their data and then deletes it from production systems within 30 days. Backup copies are not accessed or used and expire as backups rotate out, within 12 months at most. Billing records are kept for 7 years for tax and accounting.", "pages": [], "link": null, "category": "security" }, { "id": "cl083", "question": "Who is Adrosaga's Data Protection Officer?", "answer": "Adrosaga's Data Protection Officer is Daniel van Niekerk, contactable at privacy@adrosaga.com. Adrosaga responds to data subject requests within 30 days.", "short": "Adrosaga's Data Protection Officer is Daniel van Niekerk (privacy@adrosaga.com). Data subject requests are answered within 30 days.", "aeo": "Adrosaga's Data Protection Officer is Daniel van Niekerk, contactable at privacy@adrosaga.com. Adrosaga responds to data subject requests within 30 days.", "pages": [], "link": null, "category": "security" }, { "id": "cl085", "question": "Can Adrosaga provide more detail for a security review?", "answer": "Yes. Adrosaga can complete security questionnaires and share further detail under NDA.", "short": "Yes. Adrosaga can complete security questionnaires and share further detail under NDA.", "aeo": "Yes. Adrosaga can complete security questionnaires and share further detail for a security review under NDA.", "pages": [], "link": null, "category": "security" } ] }, { "id": "reporting", "label": "Reporting & Insights", "questions": [ { "id": "cl022", "question": "How does Adrosaga report the results of an AI testing project?", "answer": "Adrosaga provides built-in reporting showing the project objective, testing methodology, progressive project statistics, contributor responses and resulting findings. Clients can filter the report by relevant audience attributes and other dimensions, and can export all underlying raw data for their own analysis, audit or integration with business intelligence systems.", "short": "Adrosaga reports show the objective, methodology, live statistics, responses and findings, with filters and raw-data export.", "aeo": "Adrosaga reports AI test objectives, methodology, progressive statistics, responses and findings. Reports can be filtered by audience characteristics such as language or fluency, and all raw data can be exported.", "pages": [], "link": null, "category": "reporting" }, { "id": "cl023", "question": "Can Adrosaga automatically analyse large volumes of human feedback?", "answer": "Yes. Adrosaga's built-in Data Scientist capability can analyse large volumes of structured responses and free-text feedback. It can identify sentiment, themes, differences between groups and audience segments and produce plain-language summaries and recommendations, while clients retain access to the underlying responses and raw data.", "short": "Yes. Adrosaga's Data Scientist capability can identify themes, sentiment and differences across large response sets.", "aeo": "Adrosaga's Data Scientist analyses large volumes of human feedback for sentiment, themes, audience differences, segments and plain-language recommendations while preserving access to the underlying data.", "pages": [], "link": null, "category": "reporting" } ] }, { "id": "pricing", "label": "Pricing & Subscriptions", "questions": [ { "id": "cl024", "question": "Can we know how much an Adrosaga project will cost before submitting it?", "answer": "Yes. Adrosaga has a transparent pricing policy. Our public pricing calculator lets you estimate a project's likely cost before creating a task, and once you're building it in the platform, the pricing engine recalculates in real time as you adjust requirements. Before you click Submit, you'll see an accurate cost for exactly what you've configured. See the pricing page for current plans and rates.", "short": "Yes. Adrosaga's website calculator helps you plan, and the task builder shows your configured cost before you submit. See the pricing page.", "aeo": "Adrosaga uses transparent pricing: a website calculator estimates your likely cost, and the in-platform task builder recalculates in real time as you configure the task so you know your configured cost before clicking Submit. See the pricing page.", "pages": [ "pricing" ], "link": "/pricing", "category": "pricing" }, { "id": "cl025", "question": "What Adrosaga subscription plans are available?", "answer": "Adrosaga offers a free, pay-as-you-go option alongside paid subscription tiers that scale with your testing and data needs, adding contributor capacity, crowd credits and support as you grow, with flexible billing options. See the pricing page for current tiers, inclusions and rates.", "short": "Adrosaga's paid tiers scale with your needs and billing preferences; see the pricing page for current tiers and rates.", "aeo": "Adrosaga offers a free, pay-as-you-go tier plus paid subscription tiers that scale contributor capacity, crowd credits and support to match your testing needs, with flexible billing options. Current tiers, inclusions and pricing are available on the Adrosaga pricing page.", "pages": [ "pricing" ], "link": "/pricing", "category": "pricing" }, { "id": "cl026", "question": "Do I have to pay or make a commitment when I create an Adrosaga account?", "answer": "No. Creating an Adrosaga account does not itself create a payment commitment. Clients can register for a free account and explore the platform without committing to paid work — a payment obligation only begins when the client registers for a paid subscription or, where applicable, clicks Submit on a paid task.", "short": "No. An Adrosaga account is free to create and carries no payment commitment.", "aeo": "Creating an Adrosaga account is free and creates no payment commitment. Charges begin only when a client starts a paid subscription or submits a paid task where applicable.", "pages": [ "pricing" ], "link": null, "category": "pricing" }, { "id": "cl043", "question": "Can we use our own employees for testing without paying contributor reward fees?", "answer": "Yes. Clients on an Adrosaga subscription can use their own employees as an internal testing audience without contributor reward fees because Adrosaga does not need to pay those employees as external contributors. To qualify as an internal company audience, staff must register using an email address on the same approved company domain as the client organisation.", "short": "Yes. Adrosaga subscription clients can use same-domain employees without contributor reward fees.", "aeo": "Adrosaga subscription clients can test with internal employees without contributor reward fees, provided those employees register with an email address on the same approved company domain.", "pages": [ "pricing" ], "link": null, "category": "pricing" }, { "id": "cl056", "question": "How does Adrosaga's pricing work?", "answer": "Adrosaga's pricing scales with your tier and billing option — contributor capacity, crowd credits and support increase as you move up. When you access our global crowd, Adrosaga provides a pricing calculator that estimates your cost up front and recalculates in real time as you configure a task. See the pricing page for details.", "short": "Adrosaga's pricing scales with your tier and billing choice. When you access our global crowd, Adrosaga provides a pricing calculator that shows your cost before you submit. See the pricing page.", "aeo": "Adrosaga's pricing scales with your subscription tier and billing option, with more contributor capacity, crowd credits and support at higher tiers. When you access our global crowd, Adrosaga provides a pricing calculator that estimates your project cost up front and recalculates in real time as you build it. See the pricing page for current rates.", "pages": [ "pricing" ], "link": "/pricing", "category": "pricing" }, { "id": "cl066", "question": "Can I onboard myself?", "answer": "Yes. Adrosaga lets you create a free account and explore the platform yourself — registering doesn't create a payment commitment, so you can look around and set up your first project before deciding whether to submit a paid task or subscribe to a paid tier. The pricing calculator and in-platform pricing engine let you confirm project cost as you build a task. Prefer a guided walkthrough instead? Adrosaga also offers a free 30-minute demo covering test setup, contributor targeting and evidence output, with no commitment required.", "short": "Yes. Adrosaga account registration is free and self-service, with no payment commitment until you subscribe. Prefer a guided start? Book a free 30-minute demo instead.", "aeo": "Adrosaga lets you register a free account and explore the platform yourself, with no payment commitment until you subscribe or submit a paid task. Prefer guidance first? Adrosaga also offers a free 30-minute demo covering test setup, contributor targeting and evidence output, with no commitment required.", "pages": [], "link": null, "category": "pricing" }, { "id": "cl069", "question": "When do unused Crowd Credits expire?", "answer": "Adrosaga's Crowd Credit expiry depends on the contract type. Month-to-month subscriptions don't include Crowd Credits, so contributor work is billed at the rate per the Pricing Calculator. On a 12-month term billed monthly, Crowd Credits are issued each month on a rolling 90-day expiry, so each month's credits must be used within 90 days of being issued. On an annual subscription paid in advance, Crowd Credits are issued for the full 12-month term and expire 365 days after the contract start date — for example, Crowd Credits issued on 1st January expire on 31st December of the same year.", "short": "Adrosaga's credit expiry depends on contract type: month-to-month plans include no Crowd Credits; a 12-month term billed monthly gives each month's credits a rolling 90-day expiry; annual plans paid in advance issue credits for the full 12 months, expiring 365 days after the contract start date.", "aeo": "Adrosaga's Crowd Credit expiry rules vary by contract type: month-to-month subscriptions include no credits and are billed at the full contributor rate; a 12-month term billed monthly issues credits with a rolling 90-day expiry each month; an annual subscription paid in advance issues credits for the full 12-month term, expiring 365 days from the contract start date.", "pages": [], "link": "/pricing", "category": "pricing" } ] }, { "id": "compliance", "label": "Compliance & Regulation", "questions": [ { "id": "cl032", "question": "How can I ask contributors to test whether an AI conforms to our company policies or guardrails?", "answer": "Adrosaga can test whether an AI behaves consistently with company policies, intended behaviours and guardrails. If the global contributor community is used, the relevant policies, guardrails or evaluation criteria must be shared as supporting documentation so contributors know what conformity means. If those materials are confidential and cannot be shared externally, the client should use an internal audience such as its own staff.", "short": "Adrosaga lets clients share the relevant policies with external contributors, or use an internal staff audience when the material is confidential.", "aeo": "To test policy or guardrail conformity with Adrosaga's global crowd, clients provide the relevant policies or evaluation criteria as supporting documentation. Confidential policies can instead be tested by an internal employee audience.", "pages": [ "deploymentTestTypes", "banking", "insurance", "healthcare", "retail", "bpo" ], "link": null, "category": "compliance" }, { "id": "cl035", "question": "How do I know which AI regulations apply to my deployment?", "answer": "Adrosaga's planned Regulation Library will help clients explore relevant regulations and identify testing and evidence considerations for their AI deployment, based on factors such as jurisdiction, industry, intended use, affected people and risk classification. Clients should obtain appropriate legal or regulatory advice for definitive interpretation.", "short": "Adrosaga's planned Regulation Library will help identify potentially relevant requirements; clients should confirm obligations with appropriate advisers.", "aeo": "Adrosaga's planned Regulation Library will help clients explore AI regulations by jurisdiction, industry and use case and identify related testing considerations, while definitive legal interpretation remains with qualified advisers.", "pages": [ "banking", "insurance", "government" ], "link": null, "category": "compliance" }, { "id": "cl036", "question": "Can Adrosaga test whether our AI complies with company policies as well as external regulations?", "answer": "Yes. Adrosaga tests your AI against external regulations and internal policies, brand requirements, operating procedures, safety rules and guardrails, and captures the evidence from that testing. If those internal materials are confidential, the test can use an approved internal employee audience instead of the external contributor community. Adrosaga's role is the testing and evidence — certifying compliance is your organisation's or your compliance consultant's responsibility.", "short": "Yes. Adrosaga tests against both external and internal requirements and captures the evidence; certifying compliance is up to you or your consultant.", "aeo": "Adrosaga tests AI against external compliance requirements and internal policies, brand rules, operating procedures or guardrails, capturing the evidence from testing rather than certifying compliance — that determination remains with your organisation or your compliance consultant.", "pages": [ "banking", "insurance", "government", "retail", "bpo" ], "link": null, "category": "compliance" }, { "id": "cl053", "question": "Does independent testing carry more weight with regulators and auditors than internal sign-off?", "answer": "Yes. Adrosaga is structurally independent from the team that builds or operates the AI — evaluators have no involvement in development and no stake in the outcome. That separation is what regulators, auditors and boards look for when deciding whether AI validation evidence can be relied on, rather than treated as a self-assessment. Adrosaga produces the evidence that feeds directly into your team's regulatory filing, not an internal attestation you'd have to file yourselves without third-party backing.", "short": "Yes. Adrosaga's structural independence is what makes its evidence credible to regulators, auditors and boards — not a self-assessment.", "aeo": "Yes — independent testing carries more regulatory weight. Adrosaga's evaluators have no role in building the AI, producing evidence that feeds directly into your team's regulatory filing rather than an internal attestation.", "pages": [ "home", "about" ], "link": null, "category": "compliance" }, { "id": "cl086", "question": "Is Adrosaga a compliance consultancy?", "answer": "No. Adrosaga is a human validation and evidence capture service, not a compliance consultancy. Adrosaga produces the independent testing evidence; your compliance or legal team applies it to your framework.\n\nAdrosaga doesn't give regulatory advice. It gives you the independently produced data that supports it.", "short": "No. Adrosaga is a human validation and evidence capture service. It produces independent testing evidence; your compliance or legal team applies it to your framework.", "aeo": "Adrosaga is not a compliance consultancy. It is a human validation and evidence capture service that produces independent testing evidence, which your compliance or legal team applies to your framework. Adrosaga does not give regulatory advice.", "pages": [], "link": null, "category": "compliance" }, { "id": "cl087", "question": "Does Adrosaga build AI systems?", "answer": "No. Adrosaga does not build AI; it tests AI systems and gives you the evidence your compliance team can take upstream. Structural independence from AI system builders is what makes the evidence count.", "short": "No. Adrosaga does not build AI; it tests it. Structural independence from AI system builders is what makes the evidence count.", "aeo": "Adrosaga does not build AI systems; it tests them. It gives your compliance team evidence they can take upstream, and its structural independence from AI system builders is what makes that evidence count.", "pages": [], "link": null, "category": "compliance" } ] }, { "id": "testDesign", "label": "Test Design & Methodology", "questions": [ { "id": "cl033", "question": "What questions should I ask people when testing an AI agent?", "answer": "Adrosaga is configurable, so clients can ask whatever questions are appropriate for the AI system, testing objective and intended audience. Clients do not need to design a test from scratch: once they identify the objective and test type, Adrosaga can provide templates and question libraries to help guide the testing process.", "short": "Adrosaga provides configurable questions, templates and question libraries once clients define the objective and test type.", "aeo": "Adrosaga lets clients ask whatever questions suit their AI testing objective. Templates and question libraries help guide question selection once the client identifies the objective and test type.", "pages": [], "link": null, "category": "testDesign" }, { "id": "cl039", "question": "Can we make sure contributors test a specific version of our AI agent?", "answer": "Yes. Version control is built into how Adrosaga runs tests — clients provide access to the specific environment or version of the AI agent in scope, which matters because model, prompt, RAG, guardrail, tool and integration changes can alter behaviour between versions and affect the value of repeat testing.", "short": "Yes. Adrosaga lets clients control the specific agent environment or version placed in scope.", "aeo": "Adrosaga testing can be scoped to a specific AI agent version or environment, improving traceability and making regression and repeat testing more meaningful.", "pages": [], "link": null, "category": "testDesign" }, { "id": "cl044", "question": "Can different test types be combined in one AI testing project?", "answer": "Yes. Combining test types within one project is a core Adrosaga capability — a single structured test can evaluate several dimensions of an AI system, for example functionality, user experience, policy conformity, human escalation and demographic differences, while collecting separate structured responses for each objective.", "short": "Yes. Adrosaga combines multiple test types within one structured project.", "aeo": "Adrosaga can combine multiple AI test types in one project, such as functionality, UX, guardrail conformity, escalation and demographic analysis, with structured questions and reporting for each objective.", "pages": [ "deploymentTestTypes" ], "link": null, "category": "testDesign" } ] }, { "id": "comparisons", "label": "Comparisons & Alternatives", "questions": [ { "id": "cl045", "question": "How is Adrosaga different from traditional data-labeling platforms?", "answer": "Traditional data-labeling platforms are typically used to collect, annotate or review data used to train and improve AI systems. Adrosaga can support human-data workflows, but its deployment-testing proposition is different: organisations can test live or pre-launch AI systems with representative human audiences, structured scenarios and targeted demographic, geographic and linguistic groups. The outcome is evidence about how the deployed AI behaves with real people, rather than only a labelled dataset for model development.", "short": "Adrosaga's core use case goes further than data labelling: testing AI deployments with representative people for real-user evidence.", "aeo": "Adrosaga differs from data-labelling platforms by validating AI deployments, not just labelling data — testing systems with representative audiences to show how they perform for real users.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl046", "question": "How is Adrosaga different from synthetic AI testing tools?", "answer": "Adrosaga solves a different problem than synthetic AI testing tools. Synthetic tools use automated or simulated evaluation to test AI behaviour at speed and scale, but they can't replicate the imperfections, cultural context and language nuance that shape how real people actually experience an AI system. Adrosaga complements that with representative human evaluation across demographics, countries, languages and levels of fluency, delivering a level of trust, confidence and assurance that speed-and-scale synthetic testing alone can't achieve. This adds evidence about how real users interpret, experience and complete tasks with an AI system, including where outcomes differ between audience groups. The two approaches can be used together rather than treated as substitutes.", "short": "Adrosaga adds the trust, cultural nuance and human imperfection synthetic testing can't replicate — the two approaches work together.", "aeo": "Adrosaga complements synthetic testing's speed and scale with human evaluation that captures real-world imperfections, cultural and language nuance — delivering trust and confidence synthetic testing alone can't achieve.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl047", "question": "How is Adrosaga different from user research platforms?", "answer": "User research platforms are useful for understanding user needs, attitudes, usability and broader experience. Adrosaga is designed around structured testing of AI systems: defining test objectives, selecting representative audiences, running scenarios against a specific AI deployment and producing structured findings that can support product, risk and governance decisions. If the primary need is open-ended discovery or general user research, a dedicated user research platform may be the better fit. If the need is repeatable human validation of AI behaviour and outcomes, Adrosaga is designed for that use case.", "short": "Adrosaga runs structured human validation of specific AI deployments; user research platforms are built for broader, open-ended discovery.", "aeo": "Adrosaga differs from user research platforms by running structured, repeatable human validation of specific AI deployments — producing evidence on how the system performs for target audiences, not open-ended discovery.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl048", "question": "How is Adrosaga different from specialist AI evaluation vendors?", "answer": "Specialist AI evaluation vendors vary significantly, so the comparison should be made against the specific vendor. Adrosaga's core distinction is representative human testing: organisations can define target audiences by geography, language, dialect, fluency, demographics and other relevant characteristics, run structured scenarios against a specific AI deployment, and compare outcomes across groups. For vendors focused primarily on automated or synthetic evaluation, the approaches may be complementary rather than interchangeable.", "short": "Adrosaga's distinction is representative human testing across targeted audiences, with structured scenarios and comparable outcomes.", "aeo": "Adrosaga differs from specialist evaluation vendors through representative human testing across geography, language, dialect and demographics — producing comparable, audience-specific evidence some vendors may complement rather than replace.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl049", "question": "When should I use Adrosaga instead of synthetic testing?", "answer": "Use Adrosaga when the question depends on how real people understand, trust, experience or act on an AI system, especially across different countries, languages, demographics or levels of fluency. Synthetic testing remains useful for automated coverage, repeatability and scale. Adrosaga adds representative human evidence for questions that require interpretation, context or real-user outcomes. In most testing programs, the strongest approach is to use both.", "short": "Use Adrosaga when you need evidence of how real people understand, experience or act on an AI system.", "aeo": "Use Adrosaga when AI testing depends on real-user interpretation, experience or outcomes. It adds representative human evaluation across countries and languages, revealing how real audiences actually experience the system.", "pages": [ "deploymentTestTypes" ], "link": null, "category": "comparisons" }, { "id": "cl050", "question": "When should I use Adrosaga instead of my internal QA team?", "answer": "Adrosaga is not intended to replace an internal QA team. Internal QA remains important for product quality, functionality, regression and system knowledge. Adrosaga is useful when you need an independent testing layer, representative external or internal audiences, or structured human evidence that sits outside the team that built and validated the system. The two approaches are complementary: internal QA can validate the product against internal requirements, while Adrosaga can add independent deployment-level testing with target user groups.", "short": "Adrosaga complements internal QA — use it when you need an independent testing layer or representative audiences.", "aeo": "Adrosaga complements internal QA rather than replacing it: QA validates product quality, while Adrosaga adds an independent human-testing layer that surfaces issues the build team may miss.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl051", "question": "Can Adrosaga complement the AI testing tools we already use?", "answer": "Yes. Adrosaga is designed to sit alongside automated evals, synthetic testing, internal QA and other AI testing tools rather than require teams to replace them. It adds representative human testing, audience targeting and structured findings that can be used to examine how a specific AI deployment performs with real people. This lets organisations combine automated coverage with human evidence where interpretation, usability, guardrails, fairness or real-world outcomes matter.", "short": "Yes. Adrosaga sits alongside automated evals, synthetic testing and internal QA, adding representative human testing and real-world evidence.", "aeo": "Adrosaga complements existing AI testing tools — automated evals, synthetic testing, internal QA — by adding representative human evaluation that reveals real-user experience and deployment risk.", "pages": [], "link": null, "category": "comparisons" }, { "id": "cl052", "question": "What can I expect to get from Adrosaga that I can't get from my own staff?", "answer": "Adrosaga adds a layer of independence internal staff cannot replicate: contributors who did not build the system, are not invested in its success, and represent audiences outside your organisation. This produces evidence of how real, external users across demographics, languages and markets actually experience your AI, rather than how colleagues familiar with the product experience it. Internal staff remain essential for product knowledge and functional QA; Adrosaga adds the independent, third-party evidence that regulators, boards and clients increasingly expect before an AI system goes live.", "short": "Adrosaga adds independent, third-party evidence from outside your organisation — the objectivity internal staff testing structurally can't provide.", "aeo": "Adrosaga provides independent, external evaluation your own staff structurally can't replicate. Contributors outside your organisation test with fresh, representative perspectives, producing third-party evidence regulators and boards expect before go-live.", "pages": [ "aiDeploymentTesting" ], "link": null, "category": "comparisons" }, { "id": "cl054", "question": "Can our own team validate an AI system they built, or does that create a conflict of interest?", "answer": "Adrosaga exists because internal validation alone carries an inherent conflict of interest: when it's the only evidence used to approve a system for deployment, the same team that built the AI is also grading it. Internal teams can and should validate their own work as part of standard development practice, but Adrosaga adds an evaluation layer outside the development team, applying the same separation-of-duties principle used in risk and audit functions. This doesn't replace internal validation; it adds the independent check a self-assessment alone can't provide.", "short": "Internal validation is valuable but self-assessed; Adrosaga adds the independent check a single team's own review can't provide.", "aeo": "Internal teams validating their own AI creates a structural conflict of interest. Adrosaga adds an independent evaluation layer outside the development team, applying the same separation-of-duties principle used in audit functions.", "pages": [ "aiDeploymentTesting" ], "link": null, "category": "comparisons" }, { "id": "cl055", "question": "What kinds of issues does independent testing catch that internal testing tends to miss?", "answer": "Internal teams often share the same assumptions, context and familiarity with the product that shaped its design, which can make it harder to notice where an AI system fails for users who don't share that context. Adrosaga's contributors approach the system without that familiarity, sourced to represent the demographics, languages and markets the deployment will actually serve. This surfaces usability, interpretation and edge-case issues, such as confusing prompts, culturally specific misunderstandings and unexpected user paths, that a team close to the build is less likely to encounter.", "short": "Adrosaga's contributors lack the build team's familiarity bias, surfacing usability and edge-case issues internal testing tends to miss.", "aeo": "Adrosaga's independent contributors, unfamiliar with the system's design assumptions, surface usability and edge-case issues — confusing prompts, culturally specific misunderstandings — that teams close to the build are less likely to notice.", "pages": [ "aiDeploymentTesting" ], "link": null, "category": "comparisons" } ] }, { "id": "enterprisePartners", "label": "Enterprise & Partners", "questions": [ { "id": "cl057", "question": "How does Adrosaga's parent-child account structure work for consulting firms?", "answer": "Adrosaga's parent-child account structure gives consulting firms a parent account with configurable access across their clients' linked child accounts. A firm can configure the parent account for oversight and monitoring only, or enable full edit access, so a consultant can track compliance and deployment status across clients and, where permissions allow, work directly within a client's account rather than switching between separate, disconnected logins. This is built for firms managing AI validation and compliance obligations across more than one client at a time.", "short": "A parent account can be configured for oversight and monitoring only, or given full edit access, across a consulting firm's linked child accounts.", "aeo": "Adrosaga's parent-child account structure lets a consulting firm configure its parent account with oversight-and-monitoring access or full edit access across each linked client (child) account, so permissions can extend beyond viewing status to directly managing a client's AI validation work from one place.", "pages": [ "partners" ], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl058", "question": "Can I monitor multiple child accounts from one Adrosaga parent account?", "answer": "Yes. Adrosaga's parent-child account structure is designed for this: a consulting firm's parent account gives oversight, monitoring capabilities and validation tools across each linked child account on a user by user basis, so deployments and compliance status across multiple clients can be tracked from one place rather than switching between separate accounts.", "short": "Yes. Adrosaga's parent-child structure lets consulting firms monitor multiple client deployments from one parent account.", "aeo": "Yes — Adrosaga's parent-child account structure lets a consulting firm's parent account monitor AI deployments and compliance status across multiple linked child accounts from one place.", "pages": [ "partners" ], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl059", "question": "Can one client's data be seen from another client's child account, or is everything segregated?", "answer": "No. Adrosaga's parent-child structure gives child accounts no visibility into each other, so one client cannot see another client's data even under the same parent account.\n\nConfigurable permissions determine what parent account users can access and control across their linked child accounts, so a consulting firm's own team can be granted the oversight they need without exposing one client's data to another.", "short": "No. Adrosaga gives child accounts no visibility into each other; configurable permissions control what the parent account can access.", "aeo": "No — Adrosaga's parent-child account structure gives child accounts no visibility into each other. Configurable permissions determine what parent account users can access and control across linked client accounts.", "pages": [ "partners" ], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl060", "question": "Is there a cap on how many child accounts we can link under one parent?", "answer": "No. Adrosaga places no cap on the number of child accounts a consulting firm can link under a single parent account, so the structure scales as a firm's client base grows.", "short": "No. Adrosaga places no limit on how many child accounts can be linked under one parent account.", "aeo": "No — Adrosaga places no cap on the number of child accounts a consulting firm can link under one parent account.", "pages": [ "partners" ], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl061", "question": "Is billing consolidated at the parent level, or does each child account pay separately?", "answer": "Adrosaga supports either option. Billing can be configured based on the relationship between a parent account and its child accounts, consolidated at the parent level or billed separately per child account or per project within that child account, so a consulting firm can match billing to how they actually work with each client.", "short": "Adrosaga can consolidate billing at the parent level or bill each child account separately, depending on configuration.", "aeo": "Adrosaga's parent-child account structure supports either consolidated billing at the parent level or separate billing per child account, configurable to the firm's relationship with each client.", "pages": [ "partners" ], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl062", "question": "If we stop working with a client, can their child account be unlinked from our parent account?", "answer": "Yes. Adrosaga lets a child account be unlinked from its parent account when a consulting firm's engagement with that client ends, so the relationship doesn't have to remain in place after the work does. The client doesn't lose their account history or access when this happens — if they want to keep using Adrosaga after unlinking, they can, but they'd need to accept billing and control of their own account.", "short": "Yes. A client's child account can be unlinked from the parent account once the engagement ends, without losing account history or access — to keep using it afterwards, the client just needs to accept billing on their own.", "aeo": "Yes — Adrosaga lets a child account be unlinked from its parent account when a consulting firm's client engagement ends. The client keeps their account history and access after unlinking; to continue using Adrosaga independently, they simply need to accept billing on their own account instead of the former parent's.", "pages": [], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl063", "question": "Can we have multiple AI deployments within one child account?", "answer": "Yes. Adrosaga's child accounts are built to cover all of a client's crowd testing needs, not just a single AI deployment — a client can test multiple AI agents or systems under the same child account, with each deployment managed and reported on separately. Child accounts are structured around the client relationship rather than any individual deployment, so a consulting firm doesn't need to create a new child account every time a client wants to test another AI system.", "short": "Yes. Adrosaga's child accounts can cover multiple AI deployments for the same client, each tracked and reported on separately.", "aeo": "Adrosaga's child accounts are not limited to a single AI deployment — a client can test multiple AI agents or systems under the same child account, with each deployment tracked and reported separately. Child accounts are structured around the client relationship rather than any single AI system.", "pages": [], "link": "/partners", "category": "enterprisePartners" }, { "id": "cl064", "question": "Can a child account be linked to more than one parent account?", "answer": "Yes. Adrosaga lets a child account be linked to more than one parent account at the same time. Each parent-child link carries its own configurable permissions, so every parent account only sees and manages the scope of work it's responsible for, without visibility into the client's other engagements.", "short": "Yes. Adrosaga lets a child account link to more than one parent account at once, each with separate permissions and visibility.", "aeo": "Adrosaga lets a child account link to more than one parent account at the same time, with each parent-child link carrying its own configurable permissions. Every parent account's visibility is limited to the scope of work it manages, keeping engagements separate.", "pages": [], "link": "/partners", "category": "enterprisePartners" } ] } ]