Events

Where governance and operating model meet and local wins compound.

AI is already delivering real productivity gains. We see quicker engineers and sharper analysts, personal and individual team wins that are real and visible day to day.

The shift from local efficiency to results that compound across teams happens when the foundation is right. It takes stewardship.

Stewardship shapes a target operating model where teams organise around value, follow agile practices where they help, and put the human in the loop as orchestrator within the automated flow. It takes governance that moves at the pace of the work, enabling rather than slowing it down, and a deliberate focus on turning individual momentum into results that scale beyond one team.

Join the Equal Experts Benelux team at Zoku Amsterdam, where we’ll share how to build stewardship the Equal Experts way: evolutionary, grounded in practice, and built to help you scale AI adoption within your own sphere of influence. We’ll also open up our AI Lab, sharing real engagement stories on how dedicated AI capability has helped organisations move from individual gains to genuine team-wide impact.

You’ll leave with a practical view of how to structure your own approach to scaling AI, grounded in what we’ve seen work across enterprise engagements.

What to expect:

• A practical approach to stewardship, target operating model and governance that scales AI adoption within your own sphere of influence
• Real engagement stories from our AI Lab on turning individual AI gains into team-wide impact
• A concrete framework for putting the human in the loop as orchestrator, giving your team room to move while keeping the shape and visibility you need as a leader

Who this is for: Engineering Leads, Heads of Engineering, Heads of Delivery and Heads of Transformation in enterprise organisations ready to turn individual AI productivity gains into team-wide and organisational impact.

Agenda: 

• 1800-1830 — Welcome Drinks & Light Bites
• 1830-1930 — The AI Stewardship Layer: Building a Target Operating Model the Equal Experts Way
• 1930-1945 — Break
• 1945-2015 — Inside the AI Lab: Real Stories from Enterprise Engagements
• 2015-2130 — Networking & Light Bites