About AuditAI
We started AuditAI because mid-market organisations deserve depth of AI governance review previously reserved for large-enterprise budgets. We pair the playbook auditors actually use with AI that drafts findings the auditor reviews, cross-checks every framework ID it cites against the canonical catalog, and embeds a SHA-256 provenance footer in every report.
Built by audit professionals
AuditAI is built by people who live and breathe IT audit, compliance, and assurance. The same workflows we built for clients now ship as a product.
IT audit professional with deep expertise in compliance frameworks, risk assessment, and audit automation. Building AuditAI to give mid-market auditors the same tooling Big 4 firms keep internal.
What we believe
- AI assists the auditor, never replaces them. Every Claude-drafted finding is reviewed and signed off by a human auditor. The platform tracks AI-vs-human edits so prompts can be tuned from real engagement data.
- Citations are checked, not trusted. Every NIST AI RMF subcategory, ISO/IEC 42001 Annex A clause, OWASP LLM Top 10 ID, EU AI Act article, and MITRE ATLAS technique or tactic an AI output references is cross-checked against the canonical catalog before it reaches the auditor's screen. Hallucinated IDs are stripped and logged.
- Reports are verifiable. Every generated PDF and DOCX embeds the AuditAI version, the Claude model list, the latest eval pass-rate at generation time, and a SHA-256 of the report content. Your client can confirm the file they have matches what was generated.
- Trust is public. Eval pass-rates for every AI route - workflow classification, finding drafting, executive summary, threat modelling, and more - are on a public scorecard you can link to in client contracts. Methodology, hallucination-rejection rate, and status are all published.
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