https://evidproof.com/blog/en Insights on AI auditing, compliance, and document verification Wed, 27 May 2026 19:07:41 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed en https://evidproof.com/icon.png https://evidproof.com/blog/en © 2026 EVID Proof https://evidproof.com/blog/en/why-ai-document-audits-matter-2026 https://evidproof.com/blog/en/why-ai-document-audits-matter-2026 Wed, 20 May 2026 09:00:00 GMT . 3. Anything new at risk-score 4 or 5 is filed as a Jira ticket. 4. Anything that moved from green to amber gets a Slack notification to the document owner. The first time we ran this loop with a real customer, we expected to see a handful of findings. We saw 47 — most of them small drift in policies last edited in 2022. The AI didn't find anything the auditor wouldn't have found at the next annual. It just found it nine months earlier. ## What it doesn't change A few things stay the same: - **Certification still requires a certified auditor.** AI is for the pre-work, not the seal. Treat it as the equivalent of running your taxes through software before sending them to your accountant. - **Policy is not reality.** The audit checks what's *written*. Whether it's *followed* is a separate question that needs sampling, interviews, and observation. AI is not eyes-on-the-floor. - **AI can be wrong.** In our internal benchmark, the AI achieved 87% accuracy. That means 13% of findings need human verification before action. Sample your first audits manually to calibrate your trust. ## The strategic shift The deeper change is this: when audits are continuous, the *role* of the auditor changes. The annual outside auditor becomes less of a fact-finder and more of a judgment partner — the person you bring in when the AI flags a gap you don't know how to fix. For Thai businesses preparing for ISO 27001:2022 certification or PDPA enforcement, the leverage is enormous. You can spend the lead-up to your real audit fixing actual problems, instead of discovering them on day one. The era of compliance theater — binders that look impressive in a meeting and bear no relation to anything — is ending. We think that's a good thing. ]]> Piyawat Sritavong https://evidproof.com/blog/en/ai-hallucinations-in-audit-reports https://evidproof.com/blog/en/ai-hallucinations-in-audit-reports Fri, 15 May 2026 08:00:00 GMT . Anything outside that range is a hallucination. 3. **Look for date mismatches.** Cross-reference dates in the finding text against the document's "Last Updated" footer. 4. **Re-read every "Fully Matched" finding.** Partial matches are usually obvious; overclaimed satisfaction is what catches teams out. Anything labeled "Fully Matched" deserves 30 seconds of human verification. 5. **Question round numbers.** "100% coverage" or "0 findings" is rarely real on a 50-page policy. If you see suspiciously clean numbers, re-run with a different role or prompt. ## What good AI audit tools should do A tool that wants you to trust it should make verification easy: - Every finding links to the *exact* highlighted span of text it evaluated. - The AI's reasoning is shown alongside the finding, not buried in a debug panel. - Confidence scores reflect actual uncertainty (not just every finding labeled "95% confident"). - The tool warns you when a document is too short, too long, or in an unexpected format. If your AI audit tool doesn't do these things, treat its findings as suggestions, not conclusions. ## Why we still ship anyway Despite all the above, AI-assisted audits beat the alternative. Manual audits also miss things — they just miss different things. The combination of "AI does the first pass, human verifies the top 10 findings" produces better coverage at lower cost than either approach alone. The goal isn't infallible AI. The goal is a tool you can verify in 5 minutes that gets you 80% of the way there. ]]> Piyawat Sritavong