Frame an AI Opportunity for a Mid-Cap Insurance Carrier
Overview
What this challenge is about.
You receive: line-of-business P&Ls, customer-journey maps, and a list of 18 candidate AI initiatives the operating teams have proposed over the last year. Score each candidate on the RICE framework (Reach, Impact, Confidence, Effort — a prioritization scoring approach) plus a Responsible-AI risk lens. Group winners into 3 portfolio tiers (now / next / later). Write a 6-page recommendation memo + an 8-slide executive-committee deck. The deliverable shapes how the carrier allocates its EUR 14M AI program for the next 18 months.
The Brief
What you'll do, and what you'll demonstrate.
Convert 18 candidate AI initiatives into a credible 3-tier portfolio the executive committee will fund.
Earning criteria — what you'll demonstrate
- Apply structured prioritization (RICE plus responsible-AI overlay) to a portfolio of AI candidates
- Reason about line-of-business economics when scoring AI opportunities
- Communicate a prioritized portfolio to an executive committee
- Defend trade-offs with explicit assumptions
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
Portfolio-prioritization with an executive-committee-grade deliverable is the canonical AI PM project at any traditional enterprise adopting AI.
This challenge sharpens
- ai-strategy
- rice-prioritization
- executive-communication
AI Safety Researcher
The Responsible-AI risk overlay is the lens that AI safety researchers bring to product roadmapping in regulated industries.
This challenge sharpens
- responsible-ai
- ai-strategy
- stakeholder-analysis