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AuditPilot
The AI copilot for ISO auditors that never invents evidence
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.
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 🙏
About AuditPilot on Product Hunt
“The AI copilot for ISO auditors that never invents evidence”
AuditPilot was submitted on Product Hunt and earned 7 upvotes and 5 comments, placing #115 on the daily leaderboard. 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.
On the analytics side, AuditPilot competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how AuditPilot performed against the three products that launched closest to it on the same day.
Who hunted AuditPilot?
AuditPilot was hunted by Özcan Arslan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AuditPilot including community comment highlights and product details, visit the product overview.
Özcan Arslan
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 🙏