Design an Internal AI-Use Policy for a Mid-Cap Bank
Overview
What this challenge is about.
Design an Internal AI-Use Policy for a Mid-Cap Bank. Intermediate challenge in strategy. Developing strategies for real business problems, earn a blockchain-...
The Brief
What you'll do, and what you'll demonstrate.
Draft an AI-use policy that's clear to front-line staff, defensible to risk, and approved by the works council.
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
- Translate AI governance principles into operational policy language
- Reason about co-determination and works-council dynamics
- Design policy that holds up against realistic gray-area scenarios
- Plan stakeholder-aware rollout communication
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
AI Ethics, Fairness, and Responsible AI
Master · Responsible Ai
Strong alignment
This challenge maps to AI Ethics, Fairness, and Responsible AI 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 Governance
Apply ai governance to solve real industry problems and demonstrate production-level capability.
- Policy Design
Apply policy design 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.
- Technical Writing
Apply technical writing to solve real industry problems and demonstrate production-level capability.
- Regulatory Analysis
Apply regulatory analysis 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
Policy drafting + stakeholder navigation is the senior-AI-PM skill that gets generative AI shipped inside regulated industries.
This challenge sharpens
- ai-governance
- policy-design
- stakeholder-analysis
AI Safety Researcher
Operationalizing responsible-AI principles into ruling-grade policy maps onto AI safety researcher roles inside enterprises.
This challenge sharpens
- responsible-ai
- ai-governance
- regulatory-analysis