AI scenario checker
Internal AI Knowledge Copilot Checker
Internal copilots are often lower risk when they support knowledge search, drafting, or summarization, but they still need controls if employees rely on outputs for consequential decisions.
Often minimal or limited-risk, depending on what the output influences.
Who this checker is for
Operations teams, internal tooling teams, IT leaders, legal operations, and SaaS founders.
Risk signals to check
Use this page as a scenario-specific starting point. The prefilled checker turns these signals into the underlying EU AI Act questionnaire and keeps every answer editable.
- The tool may summarize policy, legal, medical, HR, or financial material.
- Employees may rely on incorrect output without review.
- Access control may expose sensitive information.
- Outputs may influence employment, credit, healthcare, or public service decisions.
Launch review workflow
Treat the first result as a launch-readiness conversation, not a final legal answer. The practical goal is to make the use case, affected people, oversight route, and evidence trail visible before the product ships.
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Define the decision point
Write down whether the system only assists with internal Q&A or changes access, ranking, priority, pricing, eligibility, or review.
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Map affected people
List who sees the output, who is affected by it, and whether the system is offered in the EU market or used for EU users.
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Check human oversight
Decide where a trained person can review, override, explain, or stop the AI output before it creates a material impact.
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Collect launch evidence
Start with Internal use boundary, then keep the risk result, key assumptions, reviewer notes, and user-facing disclosures together.
Documents to prepare
A useful first pass is not only a risk label. Teams should also collect the working notes that a reviewer, customer, investor, or internal launch owner will ask for.
- Internal use boundary
- Access control notes
- Model/provider record
- Human review instruction
- Change review log
Run the scenario through the tool
The checker will prefill likely answers for this scenario, generate a preliminary risk result, and produce a practical report with recommended next steps.
Start with this scenarioCommon review questions
Internal copilots are often lower risk when they support knowledge search, drafting, or summarization, but they still need controls if employees rely on outputs for consequential decisions
The tool may summarize policy, legal, medical, HR, or financial material.
Internal use boundary; Access control notes; Model/provider record
Frequently asked questions
Is an internal copilot subject to the EU AI Act?
It depends on market scope, users, outputs, and deployment role. Internal tools can still matter if outputs are used in the EU or affect covered decisions.
What is the main practical control?
Make clear that the copilot is assistive, keep sensitive data access controlled, and require human review for important decisions.
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