ai-roi-audit

# AI ROI Audit Skill Every org now spends real money on AI tools, and most justify it with adoption counts ("80% weekly active!") — which measure enthusiasm, not return. This skill audits what the spend *returned*, using methods that survive a sceptical CFO: baselines, counterfactuals, and quality deltas, with "we can't know yet" said out loud where it's true. ## What This Skill Produces - A **per-tool verdict table**: keep / consolidate / renegotiate / cut, each with its evidence - The **measurement behind each number** — method, baseline, confidence — so the audit is checkable - A **hidden-cost ledger** (the part vendor ROI decks omit) - A **baseline plan** for every "unknown", so next year's audit has data ## Required Inputs Ask for (if not already provided): - **The AI tool inventory with costs**: subscriptions, API spend, seats — and utilisation if known - **What each tool was bought to do** (the promised outcome, from the original business case if it exists) - **Available evidence**: usage data, before/after metrics, time studies, quality data, anecdotes (labelled as anecdotes) - **The decision at stake**: renewal? consolidation? budget defence? (calibrates depth) ## Audit Method 1. **Reconstruct the promise.** Per tool: what outcome justified the purchase — time saved, quality improved, headcount avoided, revenue created? A tool without a stated outcome gets audited against the best-fit guess, *flagged as retrofitted*. 2. **Score with the strongest method the ev...