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Executive Workshop

AI Strategy for the Boardroom

AI is either your biggest competitive advantage or your largest security risk. There is no middle ground. This session moves beyond the sci-fi hype to focus on practical, governance-first implementation. Learn where AI actually saves money, how to block IP leakage, and how to stop your employees from feeding trade secrets into public chatbots.

Who is this course for?

Designed for Board Members, CEOs, and Strategy Directors who need a clear posture on AI adoption.

What You Will Learn

Data Privacy Risks

Detailed analysis of IP leakage via Public LLMs. Why 'Paste to ChatGPT' is a security variance, and how to set up Enterprise instances that protect your proprietary data.

Buy vs. Build

When to use off-the-shelf tools (Microsoft Copilot, Gemini) vs when to train custom RAG models on your own warehouse data. We break down the cost/benefit analysis of both approaches.

Operations Efficiency

Practical low-hanging fruit for efficiency in HR (Screening), Legal (Contract Review), and Finance (Anomaly Detection). Where AI can actually save money today, not in 5 years.

Adoption Roadmap

A proven 90-day plan for piloting AI initiatives. Starting with low-risk internal tools to prove value before improved investment in customer-facing bots.

Workforce Implications

How to prepare your team for AI augmentation. Managing the cultural shift from 'doing the work' to 'reviewing the AI's work'.

Workshop Details

£ 95
per person (excl. VAT)

Duration: 1/2 Day
Level: Board/Exec
Next: York
Upcoming:London, Manchester, Birmingham, Edinburgh, Leeds, Glasgow, Belfast, Cardiff, Bristol, Liverpool, Newcastle, Nottingham, Sheffield, Southampton, Brighton, UK Wide & International
Stephan Theron

About the Trainer

Stephan Theron

Stephan cuts through the AI hype with a pragmatic, risk-first approach. As a former XCO in regulated industries and Tech Founder, he helps organizations implement governance frameworks that allow for innovation without exposing IP. His focus is on practical operational efficiency, not sci-fi predictions.


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