Input
Are data, sources and instructions authorised and fit for purpose?
A living AI assurance knowledge base
Can you safely rely on this AI?
AuditAI.me examines the full chain from inputs and workflows to evidence, governance and the final reliance decision. AI capability creates possibilities. Auditing and verification determine whether those possibilities are safe to use.
First published 26 July 2026 · Last updated 26 July 2026 · Version 1.0
The central question
AI should earn the right to be relied upon
A convincing answer is not enough. AuditAI asks whether the inputs are suitable, execution is controlled, evidence is checked, governance requirements are met and the outcome is fit for its intended decision.
Execution
Are agents, tools and workflows operating within defined boundaries?
Verification
Are claims and outputs independently checked?
Governance
Have policy, risk, approval and accountability requirements been met?
Reliance
Is the result fit to support the intended decision?
Featured infographic
Will AI go rogue — or will governance keep pace?
AI capabilities are accelerating from prompts to agents, graphs and autonomous workflows. The control system must evolve at the same time through risk assessment, verification, governance, independent auditing, runtime assurance and reliance engineering.
Open the full infographic page
Start here
Build an auditable path from capability to reliance
The Evolution of AI Engineering
See how prompts, chains, loops, agents and graphs solved earlier problems while creating new assurance requirements.
Explore the evolution →Auditing and Verification
Understand why standards and policies need operational checking, independent review and evidence.
Explore verification →Knowledge Base
Browse articles, frameworks, standards notes and visual explanations with visible document control.
Open the knowledge base →Standards and guidance
Controls need recognised foundations
AuditAI connects practical verification and reliance questions with established AI management, risk and impact-assessment frameworks.
ISO/IEC 42001
ISO/IEC 23894
ISO/IEC 42005
NIST AI RMF
EU AI Act