AI adoption in practice: Making it work in your team

What you’ll learn

• Identify common barriers to AI adoption and the steps needed to embed AI successfully across a team.

• Apply a practical framework to select AI use cases, engage stakeholders and establish clear ownership and governance.

• Develop an action plan to drive AI adoption, build user confidence and create measurable business value.

Description

Buying AI tools is easy; getting people to use them consistently and responsibly is much harder. This webinar explores what successful AI adoption looks like inside a real team, from the first experiment to everyday working practice.

Dr Stylianos Kampakis will explain why many AI initiatives stall after an initial burst of enthusiasm, and how businesses can avoid fragmented tool use, unclear ownership and pilots with no measurable outcome. The session will cover how to choose a focused use case, involve the right stakeholders, define responsibilities, train users and introduce proportionate governance without slowing innovation.

Participants will also learn how to manage common barriers such as limited confidence, resistance to change, inconsistent data and unrealistic expectations of what AI can deliver. Using a practical adoption framework, the webinar will show how to create early wins, gather feedback and improve the workflow over time. Attendees will leave with clear steps for turning AI from an isolated experiment into a useful, trusted capability within their team.

Speakers

Dr Stylianos Kampakis
CEO & Chief Data Scientist, Tesseract Academy

Stylianos (Stelios) Kampakis, PhD, has spent 12+ years helping SMEs and multinationals unlock value with data science and AI. He is the author of “The Decision Maker’s Handbook to Data Science,” a mentor at University College London, and a frequent keynote speaker at industry events worldwide.