Frame an AI Opportunity for a Mid-Cap Insurance Carrier
Overview
What this challenge is about.
Frame an AI Opportunity for a Mid-Cap Insurance Carrier. Intermediate challenge in strategy. Developing strategies for real business problems, earn a blockch...
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.
This is not a case study exercise. It is the work a consultant does when a client needs a recommendation backed by evidence. That distinction matters to every hiring manager who has seen candidates recite Porter's Five Forces and none who have built a recommendation a client would actually pay for.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
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.
AI for Business and AI Product Management
Master · Applied Ai
Strong alignment
This challenge maps to AI for Business and AI Product Management at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Ai Strategy
Apply ai strategy to solve real industry problems and demonstrate production-level capability.
- Opportunity Scanning
Apply opportunity scanning to solve real industry problems and demonstrate production-level capability.
- Rice Prioritization
Apply rice prioritization to solve real industry problems and demonstrate production-level capability.
- Responsible Ai
Apply responsible ai to solve real industry problems and demonstrate production-level capability.
- Stakeholder Analysis
Apply stakeholder analysis to solve real industry problems and demonstrate production-level capability.
- Executive Communication
Apply executive communication to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
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