What do I need to use AI ROI Audit?

The AI tool inventory with costs; What each tool was bought to do; Available evidence; The decision at stake.

Is AI ROI Audit free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

AI ROI Audit

Q: How do I know the AI ROI Audit output is good?

The skill verifies itself against its own quality checks: Every figure carries its measurement method and confidence — no naked numbers; Self-reported savings are discounted and labelled as self-reported; Hidden costs appear as line items, not a caveat sentence; Time→money conversions state the loaded rate and the capacity-vs-cash claim.

🔵 Stable🕐 updated 2026-10-06 ✅ 4.8/5 🔷 SkillSpec L3 pm-aiwork

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.

▶ Run it free — no key needed 📝 Grade your existing draft 📱 Use as an app View SKILL.md ↗ What changed

🗣 Say this to your agent

“What did our AI tools actually return?”“Should we renew these AI contracts?”“We pay for three overlapping AI subscriptions: which do we keep?”“Build the measurement plan before the next AI spend.”

What to give it

▸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)

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓Every figure carries its measurement method and confidence — no naked numbers

✓Self-reported savings are discounted and labelled as self-reported

✓Hidden costs appear as line items, not a caveat sentence

✓Time→money conversions state the loaded rate and the capacity-vs-cash claim

✓Every "unknown" has a baseline plan with a date — the audit compounds

⚠️ What it refuses to do

Do not use adoption or engagement as return — usage is a cost signal until an outcome moves

Do not accept vendor ROI calculators as evidence — reconstruct from your own data or score it unknown

Do not average across tools into one triumphant number — the verdict is per-tool or it decides nothing

Do not claim headcount avoidance without the counterfactual hiring plan that was actually cancelled

Do not punish honest "unknowns" by cutting them reflexively — cut requires a *failed* measurement attempt, not a missing one

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y -p pm-claude-skills pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="ai-roi-audit"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

AI ROI Audit is one of 1307 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog