Design a Compliance Strategy for an AI Robo-Advisor in the EU
Overview
What this challenge is about.
Anchor the work on the published EU AI Regulation risk classification (limited vs. high-risk systems) and the European Securities and Markets Authority guidelines on robo-advice. Inventory the product's AI components (risk profiling model, portfolio optimizer, ongoing-suitability monitor), classify each against the regulation, and write the resulting obligations in plain English. Build a 4-quarter compliance roadmap with measurable milestones (data governance docs, human oversight design, model logging, customer disclosures). Close with a 1-page executive summary for the founders' next investor update. No legal advice claim — the deliverable is a draft strategy, not a legal opinion.
The Brief
What you'll do, and what you'll demonstrate.
Produce a launch-ready AI compliance strategy and 4-quarter roadmap for an EU retail robo-advisor.
Earning criteria — what you'll demonstrate
- Map AI/ML product components to EU AI Regulation risk categories
- Translate regulatory text into engineering obligations
- Design a compliance roadmap that respects an early-stage runway
- Communicate regulatory posture to founders and investors
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
AI Product Manager
Owning the compliance posture for an AI product before launch is exactly the regulated-fintech AI PM job description.
This challenge sharpens
- product-strategy
- ai-governance
- regulatory-analysis
AI Safety Researcher
Risk mapping and human oversight design are core safety-research skills applied to a deployment context.
This challenge sharpens
- risk-mapping
- ai-governance
- stakeholder-communication