In collaboration with UCL Centre for Sustainability and RealTech Innovation.
A 1 hour executive briefing and a preview of the Executive Education course.
AI is dominating leadership conversations. Some claim it will redefine every industry. Others dismiss it as hype that won’t survive the next cycle.Most executives sit in the middle, expected to make decisions without clear frameworks, shared language, or confidence in what’s real.This webinar is the first in a short webinar series designed to give leaders a practical, evidence-based introduction to AI strategy and a preview of the thinking, tools, and frameworks used in our official Executive Education course.
This is not a sales demo.
It’s a high-signal executive briefing.
In collaboration with UCL Centre for Sustainability and RealTech Innovation.
1 hour to make smarter, strategic AI decisions and a window into the Executive Education course.
You’ve moved past the hype. You understand AI’s capabilities and limitations.
Now comes the next executive challenge: how should your organisation act?
- Build in-house and control the IP... but at what cost?
- Buy off-the-shelf solutions and accelerate deployment... but risk vendor lock-in?
- Wait and observe... but risk falling behind competitors?
Each option comes with trade-offs in cost, time, capability, risk, and long-term flexibility. Many organisations make these decisions without a structured approach, leading to stalled initiatives, wasted budgets, or missed opportunities.
This one-hour webinar gives senior leaders the frameworks and practical insights to make these decisions with confidence. It also serves as a gateway to the Executive Education course, where participants go deeper, applying these frameworks hands-on to their own organisations.
In collaboration with UCL Centre for Sustainability and RealTech Innovation.
Now comes the question that too many organisations ignore until it’s too late.Who actually owns the outputs your AI generates?
- The content, code, or designs created by AI tools
- The intellectual property embedded in training data
- The liability if something goes wrongThese questions aren’t abstract.
Organisations are already facing disputes, vendor challenges, and legal uncertainty.This one-hour webinar delivers practical guidance for senior leaders navigating AI-related IP, copyright, and legal risk and previews the hands-on frameworks explored in the Executive Education course.
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