From AI Potential to Leadership Performance
Clint is an international expert on AI-driven leadership augmentation and problem-solving. He has helped multiple organisations realise real business benefits from AI adoption and transformation. He doesn't predict the future of AI. He shows leaders how to use it now, translating potential into daily practice. Audiences leave with clarity, not inspiration. They know what to do, how to prioritise, and when to intervene.
What Clint speaks about
The AI Credibility Gap
Why leaders who delegate adoption lose authority, and what to do instead
Most executives champion AI publicly while privately delegating it to their teams. Their people know. That gap erodes trust and slows the very transformation leaders are trying to drive. This keynote shows leaders how to use AI themselves: to analyse, frame choices, prepare for meetings, and pressure-test decisions. Their adoption becomes visible behaviour others follow, not another initiative they announce and walk away from.
Audience leaves with: A practical discipline for personal AI use that earns credibility and accelerates organisational adoption.
Best for: Leadership offsites, board awayday sessions, C-suite forums.
The Patterns That Win the AI Transition
How to choose the leadership approach that fits your context
There’s no single right way to lead AI adoption. Some organisations need a directive push from the top. Others need distributed experimentation. A few need to tear up their operating model entirely. The mistake is copying what worked elsewhere without understanding why. This keynote maps the distinct leadership patterns that succeed and gives executives a clear framework for choosing which fits their organisation’s culture, risk appetite, and competitive position.
Audience leaves with: A diagnostic lens for matching leadership style to transformation context, and permission to stop copying playbooks that don’t fit.
Best for: Industry conferences, transformation-focused events, strategy away days.
From Pilots to Performance
Why most AI initiatives stall at "interesting" and how to break through
Scattered experimentation creates noise, not value. Most organisations have dozens of AI pilots but no operating rhythm to separate what works from what doesn’t. This keynote shows how to move from random adoption to disciplined daily practice: shared prompts, review standards, a weekly decision cadence, and a value-system lens that places AI where it genuinely changes the economics. The goal isn’t more use cases. It’s enterprise-grade reliability and sustainable scale.
Audience leaves with: The Regenvita Value Engine framework for turning first wins into operating standards, with reuse, governance, and guardrails built in.
Best for: CEOs, COOs, Chief Transformation Officers, HR and Change Officers, transformation programme sponsors.
Capturing Value and Knowing When to Intervene
How boards and leadership teams capture value and kill what doesn't work
Most governance frameworks for AI are either too loose (anything goes) or too tight (nothing ships). Neither works. This keynote shows how to set baselines and targets that operations and finance actually share, build dashboards with real decision rights, and run a leadership cadence that scales what delivers, stops what doesn't, and course-corrects before it's too late. It's accountability without bureaucracy.
Audience leaves with: A practical governance model for AI that balances speed with rigour, and the confidence to make hard calls on what to stop.
Best for: Board members, audit and risk committees, NEDs, CFOs.
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