Every enterprise is talking about AI. Far fewer are asking the harder question: How does AI actually change the way we organize, lead, and measure work?
The Product Operating Model — the system of teams, processes, and governance that connects strategy to execution — was designed for a pre-AI world. It optimized for output: features shipped, projects completed, milestones hit. But the organizations pulling ahead are rewiring for outcomes: customer value delivered, strategic objectives advanced, time-to-learning compressed.
In this session, Dr. Rich Sonnenblick and McKinsey's Megha Sinha explore how AI is reshaping operating models from the inside out — not just automating tasks, but changing how leaders prioritize, how teams are structured, and how success is measured. They'll examine what it actually takes to move from an output-driven organization to an outcome-driven one, and where AI is the catalyst vs. the distraction.
You'll explore:
- Why most operating models are still optimized for output — and what the shift to outcome-orientation actually requires
- How AI changes the role of product and portfolio leaders: from project managers to outcome architects
- The emerging patterns in operating model design that the most AI-mature organizations are adopting
- A framework for evaluating whether your operating model is evolving fast enough — or whether AI is just being layered onto legacy ways of working
Register for the webinar now!
Every enterprise is talking about AI. Far fewer are asking the harder question: How does AI actually change the way we organize, lead, and measure work?
The Product Operating Model — the system of teams, processes, and governance that connects strategy to execution — was designed for a pre-AI world. It optimized for output: features shipped, projects completed, milestones hit. But the organizations pulling ahead are rewiring for outcomes: customer value delivered, strategic objectives advanced, time-to-learning compressed.
In this session, Dr. Rich Sonnenblick and McKinsey's Megha Sinha explore how AI is reshaping operating models from the inside out — not just automating tasks, but changing how leaders prioritize, how teams are structured, and how success is measured. They'll examine what it actually takes to move from an output-driven organization to an outcome-driven one, and where AI is the catalyst vs. the distraction.
You'll explore:
- Why most operating models are still optimized for output — and what the shift to outcome-orientation actually requires
- How AI changes the role of product and portfolio leaders: from project managers to outcome architects
- The emerging patterns in operating model design that the most AI-mature organizations are adopting
- A framework for evaluating whether your operating model is evolving fast enough — or whether AI is just being layered onto legacy ways of working
Register for the live webinar now!
Dr. Rich SonnenblickChief Data Scientist, Planview
Megha SinhaPartner, McKinsey