Leading AI-Enabled Product Teams

Move fast without breaking things

A new online course with Gil Broza. For engineering managers, product managers, design leads, and team leads adapting their process and leadership for sustainable AI-augmented product development.

AI changed your team’s work.

Your process needs to catch up.

With AI, your team is generating specs, designs, and code faster than ever. But the output lacks depth, it’s harder to validate work properly, and tech debt piles up too fast. You have a nagging sense that today’s velocity is becoming tomorrow’s crisis.

AI’s role in product development will only keep growing. But how do you balance velocity with actual impact, maintain quality, and keep your team engaged when everything changes rapidly?

Get the answers in our new course, “Leading AI-Enabled Product Teams: Move Fast Without Breaking Things”.

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.

What this course is not about

It’s not about prompt engineering, tool selection, or custom bots/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: February 17, 19, 20, 26, and 27, 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 two weeks before the course starts.

Price:

Before Dec 25, 2025, early-bird tickets are available at 30% off: US $1050 (about Cdn $1470 / €900 / £790).
Between Dec 25, 2025 and Jan 17, 2026: US $1275 (about Cdn $1785 / €1095 / £955)
Between Jan 18 and Feb 3, 2026, the full price is US $1500 (about Cdn $2100 / €1290 / £1125)

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