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)