Define the system
Start by naming the AI feature, users, decision impact, data categories, vendors, and the team member responsible for maintaining the review record.
Scenario library
Start from a real AI product scenario, then open a prefilled EU AI Act risk checker. Each page focuses on one search intent and one practical compliance workflow.
The fastest first step is to match the product to a real operational scenario: who uses the system, what output it creates, and whether that output can affect access, rights, pricing, safety, work, or education.
4 scenarios
4 scenarios
2 scenarios
2 scenarios
2 scenarios
4 scenarios
4 scenarios
2 scenarios
Check whether an AI customer support chatbot may trigger EU AI Act transparency, documentation, or high-risk review obligations.
Usually limited-risk, with escalation if the support flow affects consequential services. Workplace and hiringScreen an AI resume ranking or candidate filtering workflow for EU AI Act high-risk employment signals and documentation needs.
Likely high-risk or specialist-review use case. Workplace and hiringCheck whether AI interview scoring, candidate analysis, or automated ranking may trigger EU AI Act employment high-risk obligations.
Likely high-risk or specialist-review use case. Workplace and hiringAssess employee monitoring, productivity scoring, worker analytics, and task allocation AI for EU AI Act employment risk signals.
Likely high-risk or specialist-review use case. Generative AIGenerate an initial EU AI Act transparency and disclosure checklist for AI text, image, video, audio, code, or marketing content tools.
Usually limited-risk, with extra review for consequential sectors. Generative AICheck AI image, audio, and video generation workflows for disclosure, deepfake, synthetic media, and governance requirements.
Usually limited-risk, with stronger controls for realistic or public media. Customer and internal toolsAssess AI product recommendations, ranking systems, and automated advisors for transparency and consequential decision risks.
Often minimal or limited-risk, with escalation for consequential recommendations. Customer and internal toolsCheck an internal AI knowledge assistant or document copilot for EU AI Act scope, transparency, access control, and decision-use risks.
Often minimal or limited-risk, depending on what the output influences. Customer and internal toolsAssess an AI legal drafting, contract review, or legal document assistant for transparency, human review, and high-impact decision risks.
Usually limited-risk or specialist-review depending on use and users. HealthcareScreen AI medical chatbots, symptom checkers, patient support bots, and health assistants for high-risk and specialist-review signals.
Likely high-risk or specialist-review use case. HealthcareAssess AI patient triage, appointment routing, urgency scoring, and care navigation for high-risk healthcare signals.
Likely high-risk or specialist-review use case. EducationCheck AI education scoring, student assessment, grading, testing, and admissions workflows for EU AI Act high-risk signals.
Likely high-risk or specialist-review use case. EducationAssess AI admissions screening, applicant ranking, and education access decisions for high-risk EU AI Act signals.
Likely high-risk or specialist-review use case. Financial and essential accessCheck AI credit scoring, loan eligibility, affordability review, and financial access workflows for EU AI Act high-risk signals.
Likely high-risk or specialist-review use case. Financial and essential accessAssess AI insurance underwriting, pricing, claims triage, and eligibility review for consequential access and documentation risk signals.
Often high-risk or specialist-review when eligibility, pricing, or claims outcomes are affected. Financial and essential accessCheck AI tenant screening, housing eligibility, rental scoring, and applicant ranking for high-impact access risks.
Likely high-risk or specialist-review if eligibility or access is affected. Public sector and identityAssess face recognition, identity verification, biometric access control, and biometric categorization for EU AI Act risk signals.
Likely high-risk or specialist-review depending on context. Workplace and hiringScreen workplace emotion recognition, mood detection, sentiment scoring, and behavioral analytics for restricted or high-risk signals.
Specialist-review use case with possible restricted-practice concerns. Operations and safetyAssess AI fraud detection, anomaly scoring, transaction monitoring, and account risk tools for consequential decision and transparency risks.
Often specialist-review when the output affects access, finance, law enforcement, or essential services. Public sector and identityCheck AI law enforcement analytics, investigative scoring, risk ranking, or public safety tools for high-risk and specialist-review signals.
Likely high-risk or specialist-review use case. Public sector and identityAssess AI border control, migration screening, visa triage, identity checks, and eligibility workflows for high-risk signals.
Likely high-risk or specialist-review use case. Public sector and identityCheck AI public benefits eligibility, welfare screening, service access, and case prioritization for high-risk EU AI Act signals.
Likely high-risk or specialist-review use case. Operations and safetyAssess AI monitoring, anomaly detection, maintenance prediction, and operational control in critical infrastructure contexts.
Likely high-risk or specialist-review if safety or essential operations are affected. Financial and essential accessCheck AI dynamic pricing, personalized offers, segmentation, and automated discounting for transparency, fairness, and consequential access risks.
Often minimal or limited-risk, with escalation for essential services or vulnerable users.practical AI compliance self-assessment
AI Compliance Scenario Checkers | AI Compliance Kit is maintained for founders, product managers, compliance owners, agencies, and small teams building AI workflows who need AI governance workflow. The goal is to help visitors complete a real task and leave with an AI inventory, risk note, disclosure draft, vendor question set, policy outline, or review workflow report, not only read a generic summary.
Start by naming the AI feature, users, decision impact, data categories, vendors, and the team member responsible for maintaining the review record.
Use the generated output as first-pass operational triage. Legal, medical, hiring, credit, education, biometric, and public-sector uses still need specialist review.
Save the output, assumptions, date, source links, and reviewer notes so the team can explain why a risk level, disclosure, or vendor question set was chosen.