A framework for choosing where to apply AI, scoring use cases on value, feasibility, and risk, so investment goes to the opportunities that pay off rather than the loudest ideas. This is the AI Use Case Selection Framework from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for AI use case selection, and it walks through everything from sourcing and framing the candidate use cases to building a balanced AI portfolio. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this framework covers
This is a preview of the full deliverable. Inside the Stratenity Library, this framework walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- Context, Scope and Objectives
- Approach and Methodology
- Sourcing and Framing the Candidate Use Cases
- Value and Feasibility Screening
- Risk, Ethics, and Data Readiness Assessment
- Sequencing and the Investment Roadmap
- Building a Balanced AI Portfolio
- Performance and Outcomes
- Findings and Insights
- Recommendations and Roadmap
- Value Realisation Framework
- Risks, Assumptions, Issues and Dependencies (RAID)
- Governance and Next Steps
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this framework in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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