Leading AI-Enabled Product Teams

Your team is moving faster.

Are they working better?

You’re an engineering manager, product manager, design lead, TPM, or team lead expected to use AI to deliver more, faster. And while AI brings productivity gains, it’s also complicating nearly every aspect of how your team works, such as how work gets done and reviewed, how decisions are made, and team morale.

The visible problems are frustrating enough: unnecessary complexity, faster output that doesn’t get properly validated, rising tech debt, shakier forecasting. The harder ones are easier to miss: growing disengagement and skill atrophy masked by rising velocity; teams that are coding faster but understanding their codebase less; AI making more decisions than it should, with no one checking its work.

Figuring out what to change — in your process and your leadership — and doing it effectively and sustainably, is on you.

Our flagship course, “Leading AI-Enabled Product Teams,” equips you to do exactly that: make your team’s AI-enabled process safe, sustainable, and impactful.

What you’ll learn

1. How to design and evolve your team’s AI-enabled workflow: Building it on sound principles and systems thinking for safety, sustainability, and impact rather than grafting AI tools onto your existing process.

2. Planning and managing AI-speed product development: Launching initiatives and breaking down large-scale work, running effective short cycles, managing flow, and integrating technical agility practices — all adapted for the realities of AI-augmented development.

3. Leading people and teams when AI changes their work: Sustaining engagement, supporting both performance and growth under new pressures, setting teams up for success, and leading people through the transition.

“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

What this course is not about

It’s not about tool selection, prompt engineering, or custom agents.

It’s also not about the business/HR/data/security/privacy aspects of AI adoption.

It’s about augmenting product management, design, and engineering with AI in an effective, sustainable, and safe way.

This course is for you if:

You’re expected to deliver more, faster, by leveraging AI throughout
You’re worried that the faster output is producing earlier rework but not improving outcomes
You sense that disengagement, skill atrophy, or burnout are masked by rising velocity
Your current process wasn’t designed for AI’s fast feedback loops and quality challenges
You want practical guidance, not theory or hype

Logistics

To fit your busy schedule, this course is structured as 5 sessions of 2.5 hours each (including a break) spread out over two weeks. In total, that’s equivalent to a two-day course.

Sessions will not be recorded. Even though there will be group discussions, you will not need to share anything confidential.

Dates: November 3, 5, 6, 12, and 13, 2026

Time: 9:30am to 12:00pm Eastern Standard Time

Space is limited to 12 people (and max 4 from the same company) to ensure interactive, diverse, high-quality sessions. Registration closes one week before the course starts.

Price: US $1500 (about Cdn $2050 / €1290 / £1115)

The registration fee includes a course booklet full of relevant content (not slides, which we don’t use anyway).

Optional add-on: 2 x 30-min private coaching sessions after the course to help you work through implementation challenges.