Individual skill

ai-roi-audit

Audit whether the organisation's AI spend actually paid — measured against baselines, not vendor math or vibes. Use when a CFO asks what the AI tools returned, when renewing AI contracts, when consolidating overlapping AI subscriptions, or to build the measurement plan before the next spend. Produces an ROI audit with per-tool verdicts (keep/consolidate/cut), the honest-measurement method behind each number, and a baseline plan for whatever can't be scored yet. To forecast ROI before an investment use roi-estimator; this skill measures what already happened.

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Last checked: Nov 9, 2026

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Repository last updated: Nov 9, 2026
License: MIT

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# 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):