LONDON, UK, June 19, 2026 – AI governance and compliance platform Audit Adventures has achieved two notable milestones with its inclusion in the VerifyWise AI Governance Directory and its membership of the AI Verify Foundation. The developments reflect the company’s growing role in helping organisations build practical governance processes, prepare for audits and navigate an increasingly complex landscape of AI regulations and standards.
These latest announcements come as Audit Adventures expands its efforts to support businesses in implementing responsible AI practices and meeting emerging compliance requirements.
The VerifyWise AI Governance Directory is an international resource that brings together AI governance consultants, responsible AI experts, EU AI Act advisers and training providers. At the time of publication, the directory features 606 organisations across 38 countries and covers expertise aligned with frameworks such as ISO/IEC 42001, the NIST AI Risk Management Framework and developing AI regulatory obligations.
In addition, Audit Adventures has become a member of the AI Verify Foundation, a global open-source community dedicated to advancing trustworthy AI through the development of testing tools, governance frameworks, standards and best practices.
Maphi Bayolo, founder of Audit Adventures, said: “Being added to the VerifyWise AI Governance Directory and joining the AI Verify Foundation are important milestones for Audit Adventures. Responsible AI is no longer something organisations can treat as an abstract principle; they need practical ways to demonstrate governance, oversight, monitoring and accountability. Nobody governs AI alone, and these memberships place Audit Adventures within communities that are actively working to make trustworthy AI practical.”
Audit Adventures is focused on creating structured implementation pathways that help organisations interpret and apply AI governance requirements, including the EU AI Act and ISO/IEC 42001. The platform translates governance principles into operational processes covering risk management, documentation, control mapping, human oversight and continuous monitoring.
Alongside building Audit Adventures, Bayolo is the author of Equilibrium Fairness: A Runtime Governance Architecture for Monitoring and Correcting Fairness Drift in High-Impact AI Systems. The working paper is accompanied by an open reference implementation published on GitHub.
The Equilibrium Fairness framework is based on the principle that fairness should be continuously evaluated throughout an AI system’s lifecycle rather than assessed only at deployment. This approach recognises that model performance and outcomes can shift over time as data, populations and operating conditions evolve.
Its reference implementation follows a four-stage process comprising initialise, monitor, threshold and correct. The framework tracks indicators such as demographic parity gap and equalised odds gap, evaluates them against predefined thresholds and records structured escalation events when those thresholds are exceeded. Decisions regarding corrective action remain under human control.
Bayolo added: “Organisations increasingly need evidence that AI systems are being monitored, questioned and improved after deployment. Equilibrium Fairness is intended to support that need: a practical governance layer that compliance, audit, model-risk and legal teams can understand, configure and evidence.”
The framework is being developed with consideration for emerging regulatory expectations and industry standards, including lifecycle risk management, human oversight, robustness and ongoing performance evaluation.
Looking ahead, Audit Adventures intends to further enhance both its governance platform and the Equilibrium Fairness framework, providing organisations with practical and evidence-based tools for responsible AI governance and compliance.
