AI scenario checker
AI Product Recommendation Compliance Checker
Recommendation systems are often lower or limited risk, but they need extra review when they affect essential services, pricing, credit, housing, insurance, or vulnerable users.
Often minimal or limited-risk, with escalation for consequential recommendations.
Who this checker is for
Ecommerce teams, SaaS product teams, marketplace operators, and AI recommendation vendors.
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.
- Users may think the recommendation is objective or human-made.
- The ranking could influence access to important services or pricing.
- Sensitive data may shape user segmentation.
- Users may need disclosure and the ability to understand limitations.
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.
-
Define the decision point
Write down whether the system only assists with product ranking or changes access, ranking, priority, pricing, eligibility, or review.
-
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.
-
Check human oversight
Decide where a trained person can review, override, explain, or stop the AI output before it creates a material impact.
-
Collect launch evidence
Start with Recommendation transparency note, 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.
- Recommendation transparency note
- Ranking factors summary
- Data use and personalization record
- User support path
- Sensitive-sector escalation checklist
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
Recommendation systems are often lower or limited risk, but they need extra review when they affect essential services, pricing, credit, housing, insurance, or vulnerable users
Users may think the recommendation is objective or human-made.
Recommendation transparency note; Ranking factors summary; Data use and personalization record
Frequently asked questions
Is ecommerce recommendation AI high-risk?
Usually not by itself, but risk rises if the recommendation influences essential services, credit, insurance, housing, or similar outcomes.
What should the product team document?
Document intended purpose, ranking factors at a high level, data sources, limitations, and user controls.
Related AI compliance scenarios
AI Legal Document Assistant Checker
Assess an AI legal drafting, contract review, or legal document assistant for transparency, human review, and high-impact decision risks.
AI Medical Chatbot Risk Checker
Screen AI medical chatbots, symptom checkers, patient support bots, and health assistants for high-risk and specialist-review signals.
AI Patient Triage Compliance Checker
Assess AI patient triage, appointment routing, urgency scoring, and care navigation for high-risk healthcare signals.