An AI business case quantifies the costs, benefits, and risks of an AI initiative so leaders can fund with confidence, combining standard appraisal (NPV/ROI/payback) with AI-specific cost and risk factors (data, model, run-cost, governance). This is the AI Business Case from the Stratenity Library, a governed strategic execution asset that is already built for you. It gives your team the full working method for AI business case, and it walks through everything from benefit hypothesis and value drivers to assumptions and data foundations. 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 asset covers
This is a preview of the full deliverable. Inside the Stratenity Library, this asset walks your team through the complete method, section by section, with a worked client example threaded throughout.
- Problem Statement and Baseline
- Opportunity and Objectives
- Benefit Hypothesis and Value Drivers
- Cost Model and Run-cost
- Financial Model: NPV, ROI and Payback
- Scenarios and Sensitivity Analysis