Launching today
AuditPilot
The AI copilot for ISO auditors that never invents evidence
5 followers
The AI copilot for ISO auditors that never invents evidence
5 followers
AuditPilot turns an ISO auditor's checklist into cited findings, nonconformity reports, and a full audit report — from one pass, no re-typing. The AI drafts; every claim is cited to a source doc, and the auditor always decides. Plus a consultant readiness/gap module. 11 standards · 5 languages.
Hey Product Hunt 👋
I'm a lead ISO auditor — and I also write code. For years, the part of the job that drained me wasn't the audit; it was the evening after: taking one finding and re-typing it into a checklist, a nonconformity report, and the audit report. Same sentence, three templates, hours of it.
I couldn't find a tool that ended this, so I built AuditPilot.
The auditor fills the checklist once, and the NC reports + audit report derive from the same data. But the hard part wasn't automation — it was trust. In accredited work, a hallucinated finding is a career risk. So AuditPilot is deliberately not a ChatGPT wrapper:
Cited or flagged — every AI finding is cited to a source document; no citation → flagged "unsupported, auditor to verify." No invented evidence.
The auditor decides — the system never makes a certification decision.
Deterministic engine + AI layer, separated — rules and calculations are code; only the language is AI.
It learns your standard — every accept/edit/reject sharpens the drafts over time.
We measured it on 31 real (redacted) audits: 100% citation validity, 0% hallucination. It covers 11 standards (ISO 9001, 14001, 45001, 22000, 27001, IFS, FSSC, BRCGS...) in Turkish, English, German, French and Spanish.
Consultants get a full module too: readiness/gap assessment → owner+due action plan → SWOT/PESTLE/risk analyses → client portfolio.
It's live now — transparent, published pricing (Solo $39, Team $119 / user / mo, 14-day money-back — no "request a demo" wall), and I'm shaping it with auditors, consultants, and certification bodies. If you've ever fought a compliance report at midnight — I'd love your take. Try it here: https://auditpilot.aquilaflowai.com
Happy to answer anything about the deterministic/LLM split, the eval harness, or auditing in general 🙏
The citation-on-every-claim setup is genuinely clever, the model that drafts the findings but still leaves the auditor in charge is exactly how tools like this should work. Curious how it handles ambiguous clauses where two sources might contradict.
@doaniikrinu When generating draft findings, the AI copilot uses thousands of historical audit findings embedded in the system as benchmarks, as well as references from audit evidence documents uploaded by the auditor, if any, and ultimately submits them for human approval by the auditor.
For any unclear points, the auditor uses their experience and knowledge to interpret the situation observed in the field, and this interpretation is reported to the decision committee, a higher authority. If a problematic situation exists, the committee may request corrections or additional information, but the decision committee is an entity completely separate from this project; I just wanted to provide this information.
Auditors & compliance folks: what's the most soul-crushing part of your reporting workflow? Trying to make sure I'm solving the right one.