Online Webinar: From Pilot to Payoff: Scaling and governing Agentic AI?
Balance speed with control and turn AI experimentation into lasting enterprise value.
Generative AI has made advanced capabilities accessible to organisations of every size and level of maturity, without requiring large data teams or years of technical groundwork.
But scaling AI across an organisation creates two distinct leadership challenges:
- The hesitation trap: Waiting on the sidelines because the risks, starting point or return on investment are unclear.
- The sprawl trap: Moving so quickly that unmanaged tools and autonomous agents create compliance, security and operations problems.
To turn the current AI momentum into a sustained competitive advantage, business leaders must combine rapid execution with effective forward-looking governance.
Join Vlerick Business School for a high-impact, 60-minute session featuring two complementary perspectives on moving AI from a promising pilot to a controlled enterprise scale.
In 60 minutes, learn how to:
- Identify and prioritise high-value AI opportunities across your organisation.
- Prevent agent sprawl while giving teams the room to innovate.
- Build governance that supports responsible experimentation and scalable adoption.
Your speakers
Philippe Baecke
Professor of Business Analytics and Artificial Intelligence
Philippe Baecke is harnessing the power of big data and analytics in all areas of marketing.
Martin Butler
Professor of Management Practice
Martin Butler lectures in digital transformation, digital resilience and technology futures.
Agenda:
- 12:00 PM – 12:20 PM:
Unlocking the opportunity: Where AI Is creating real value today
Prof. Philippe Baecke - 12:20 PM – 12:40 PM:
Governing the future: Preventing agent sprawl and scaling safely
Prof. Martin Butler - 12:40 PM – 12:55 PM:
Live Q&A: Strategic guidance for your AI roadmap
Interactive Audience Q&A - 12:55 PM – 13:00 PM:
Wrap-up
Host
Reserve your place
Free to attend. Can't join live? Register to receive the recording and a practical summary afterwards.