AI Use Case Portfolio

Core Workflow

1. Identify business goals, functions, constraints, data sensitivity, and current AI maturity.
2. Inventory use cases by workflow, user, pain, value driver, data needed, integration need, risk, and owner.
3. Score candidates by value, feasibility, urgency, governance burden, adoption complexity, and evidence quality.
4. Separate quick wins, strategic bets, research items, and deferred/high-risk ideas.
5. Recommend a portfolio mix, not a single generic AI project.
6. Flag use cases requiring legal, security, privacy, people, finance, or customer review.

Safety Rules