Leading AI-Enabled Product Teams
3 half-days
Who it’s for
Engineering managers, product managers, design leads, program managers, and team leads
Objective for the participants
Adapt your process and leadership practices for effective, sustainable AI-augmented product development
Description
You’re accountable for how well your team delivers with AI, but their process and your leadership practices were not built for that.
AI now does a real share of the work, and that has changed the conditions that processes were built around: where the time goes, what breaks and why, the value of collaboration, how people build skill and stay engaged. By now it’s the experts’ consensus that this calls for rethinking the way of working rather than bolting AI onto what was there. What’s rarely provided is the next part: what rethinking it actually consists of, where to start, and what it asks of leaders.
So most leaders proceed a patch at a time: a practice here, a policy there, some task acceleration. Team members improvise too. These local moves don’t add up to an effective and efficient way of working, and they produce friction that lands on the leaders.
This course provides a coherent picture of how to upgrade your team’s way of working, and your own leadership practices, so that both are safe, sustainable, and impactful.
You’ll learn:
- How to design and evolve your team’s AI-enabled way of working: Sizing up AI’s strengths, weaknesses, opportunities, and threats in your context; seeing the entire system of value delivery, with its bottlenecks, its feedback loops, and the constraint that’s actually limiting it; and determining what the system should optimize for and why, so you can change practices effectively rather than graft AI tools onto the existing process.
- Planning and managing AI-speed product development: Framing initiatives for maximum alignment, buy-in, and effective prioritization; planning large-scale work around outcomes rather than outputs, and evolving toward them in a way that controls the cost of change; proceeding in short cycles that produce something worth having; and achieving flow — through visual management, WIP limits, and pull systems — which works whichever process you run and becomes critical once AI is in the mix.
- Leading people and teams when AI changes their work: Identifying what people need in order to engage and to keep performing well over time; supporting both performance and growth in the context of today’s pressures; setting teams up to succeed rather than just staffing them; and embracing the leadership style that enables it all.
This course doesn’t prescribe a framework or a set of best practices; the right ones depend on context. You’ll learn how to determine the practices that fit yours. And since everyone in the room shares that context, the discussions and examples land closer to home, and you’ll develop a shared language and mental model for the decisions you’ll be making after the course.
If you’re looking to get real, lasting value from your team’s use of AI, this course is for you.
Note: If you only have 1-4 people for this course, consider registering them for the public session (November 2026).
Group size
8-16 participants
“The course was very relevant to the work I do every day. The content was realistic, practical and applicable. Everything was thoughtfully designed to set the participants up to succeed.”
– T. D., senior manager of four product development teams