Audit Adventures Launches AI Governance Platform for EU AI Act and ISO/IEC 42001 Compliance

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Interactive platform helps organisations move from policy to practical, auditable AI governance implementation

LONDON, UK. March 24th, 2026Audit Adventures, founded by IT consultant Maphi Bayolo, has launched an AI governance platform designed to help organisations operationalise compliance with the EU AI Act and ISO/IEC 42001.

As regulatory pressure around artificial intelligence continues to increase globally, organisations are facing growing challenges in translating high-level compliance requirements into practical implementation. Audit Adventures addresses this gap by transforming complex regulatory frameworks into structured, step-by-step execution journeys.

The platform positions itself as an alternative to traditional consulting-heavy approaches, enabling organisations to implement governance frameworks internally through structured execution rather than static documentation.

The platform is designed for organisations developing or deploying AI systems and provides a guided approach to implementing governance, risk management, and documentation processes aligned with emerging regulatory expectations.

“Many organisations understand the need for AI governance, but struggle to operationalise it in a way that is practical, consistent, and audit-ready,” said Maphi Bayolo, Founder of Audit Adventures. “Audit Adventures is designed to bridge that gap by turning regulatory requirements into structured workflows and tangible outputs.”

The platform is aimed at organisations developing or deploying AI systems, particularly those seeking structured approaches to governance implementation without relying solely on external consultants.

Audit Adventures is currently expanding its offering to include region-specific modules, including South Korea’s emerging AI regulatory framework, reflecting the increasing globalisation of AI governance requirements.

The platform is now available, with early-stage outreach underway to organisations seeking structured approaches to AI governance implementation.

ENDS
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