Governance, Risk & Compliance

The challenge

Organisations in life sciences, financial services, telecom, and the public sector face an expanding web of regulation: the EU AI Act, GDPR and data regionality, GxP in pharma and biotech, sector-specific reporting obligations, alongside internal pressure to adopt AI and modernise quickly. The governance gap between "we want to use AI" and "we can prove to a regulator that we’re using it responsibly" is where projects stall or, worse, proceed without adequate safeguards.

How I help

The three get treated as one thing far too often. They work together, but they do different jobs. Compliance is the goal: adherence to policy and regulation. Risk is the decision tool: measuring how far, and why, the organisation deviates from those policies, so the deviation can be accepted, reduced or stopped on purpose. Governance decides who makes those calls.

• Governance: who decides. Build the policy chain from board-level oversight down to day-to-day operational practice, with clear decision rights at each level, so governance is actually followed rather than filed away, and doesn’t slow delivery down in the process.
• Risk: deciding with your eyes open. Measure deviations from policy in terms a board can act on: likelihood and impact as ranges, the cost of acting against the cost of delay, and a named owner for each risk. Every exception is accepted, reduced or refused deliberately, against an agreed appetite, and recorded with a reason and a revisit date.
• Compliance: the goal, evidenced. Design frameworks aligned to the EU AI Act, data regionality requirements, GxP and sector-specific regulation that reflect how your organisation actually works, not generic policy templates. Build the evidence into delivery and PMO structures, so compliance is designed in from the start rather than checked at the end.

Get a governance framework reviewed or built