Speaker Bio: Thibault Williams is the founder of TMW Resilience, specialising in cybersecurity, AI assurance, and information governance. He has extensive experience helping public sector organisations align with standards, including ISO 27001, ISO 42001, and NIST RMF, and advises on the fast-evolving landscape of AI governance and digital risk. Thibault brings a practical, operational perspective to AI compliance, balancing technical controls with safeguards against bias, unfairness, and complexity. He has also led post-cyberattack recoveries and drafted cyber recovery playbooks for UK Government departments, shaping resilient, secure-by-design systems. His approach is pragmatic, collaborative, and focused on strengthening trust, security, and organisational resilience.

Keynote Title of your talk: AI Governance: The Discipline That Turns Experimentation Into Advantage

Keynote Seminar Description: AI adoption is accelerating - yet a consistent advantage remains elusive. Many organisations have deployed AI tools, but few have redesigned their management structures to support them effectively. AI is no longer just software; it is a decision-making system embedded into operations and strategy. Without defined use cases, measurable outcomes, ownership, and oversight, AI remains experimentation rather than capability. This keynote explores why governance is the missing discipline in modern AI adoption - and how structurally mature organisations turn AI from uncertainty into sustainable competitive advantage.

Seminar Title of your talk: Operationalising AI Governance: Building the AI Management Layer

Seminar Description: AI adoption is accelerating - but few organisations have built the management layer required to govern it effectively. This seminar focuses on how to design and implement a practical AI governance operating model. Participants will explore how to establish visibility over AI usage, define measurable business-aligned use cases, assign executive accountability, manage risk, and embed structured oversight into existing leadership frameworks. Through a practical readiness assessment, attendees will identify where their organisation stands today and the first concrete steps required to move from experimentation to a disciplined, repeatable AI capability.