Your AI Initiative Is Probably Waiting in a Waterfall Queue

Most teams assume their AI is moving slowly because the technology isn't ready yet. Usually it's the opposite. The capability is fine. It's sitting in a backlog built for order-takers, behind review cycles and approval gates designed for a slower era of work.

When AI can execute in hours what used to take days, the old bottleneck disappears, but the constraint doesn't leave. It relocates, often to the queue itself. One team cleared an 18-month backlog in three months without changing a single thing about their AI. They changed the queue.

In this session, Matt Lasater unpacks where AI momentum actually stalls and how to find the real constraint hiding in your workflow.

You'll learn:

Why "the technology isn't ready" is usually the wrong diagnosis
How to spot the new bottlenecks AI creates in direction, review, and decision-making
What it takes to restructure a queue built for order-takers into one built for shipping
How to keep your team's feedback loop fast enough to match what AI can now build

Who should attend: Leaders, delivery owners, and teams whose AI initiatives keep stalling for reasons no one can quite name.

Speaker: Matt Lasater, President, Engaged Agility / Initiate AI
When: Thursday, July 16, 1:00 PM ET / 10:00 AM PT

Webinar: Your AI initiative is probably waiting in a waterfall queue