Scaling AI: From Activity to Impact

Tiny Teams, Same Dependencies: Can AI Flatten Your Organization?

Consulting firms are telling engineering leaders that coding agents mean you can flatten the org, cut coordination layers, and move to autonomous tiny teams. But in the enterprise trenches, most teams aren't decoupl…

Developers of the System, Not the Code: Inside Next Insurance's Agentic DLC w/ Shay Mandel

with Shay Mandel

"We are now developers, not of the code. We are developers of the system." Most AI coding rollouts end up with faster typing and the same delivery system. Shay Mandel's team at Ergo-Next Insurance went after the sys…

Beyond Token Caps w/ Tomer Elias: How Enterprises Actually Measure AI Impact

with Tomer Elias: How Enterprises Actually Measure AI Impact

Most enterprise AI conversations get stuck on the wrong number: how many tokens an employee should be allowed to burn. Tomer Elias argues the cap is the least interesting question in the room. The hard part is attributio…

Why the Pivot? Tracing the Line from Scaling Agility to AI Impact

In this special episode, host Yuval Yeret flips the script with guest Philip Morgan, an expert on positioning and point of view. They discuss the recent rebranding of the podcast and dive deep into the striking parallels…

Claude's /goal Feature Just Exposed A Real Challenge With AI Agents

Claude and Codex have a relatively new feature, `/goal`, that lets you set a completion condition and keep the AI running autonomously until it's met. This capability exposes a real challenge with agentic AI and exp…

You can 10x engineering and still not 10x the business

AI coding assistants are genuinely good now, coding, debugging, tests, docs. But faster engineering output doesn't automatically become faster business impact. AI has quietly moved the bottleneck: from building work…

AI Activity, Output, or Impact? How to Escape AI Theater

Most AI programs start by measuring activity: licenses, prompts, token usage, and pilots. Some move on to output: more code, content, or analysis. Neither tells you whether the business moved. In this solo episode, I exp…

26 Days to 3: How Zoetis Is Building an AI-Powered Operating Model

Zoetis is reducing a 26-day infrastructure workflow to 2-3 days with a three-agent pipeline. One agent designs, another produces infrastructure as code, and a third executes. I talk with Kumar Venugopal, CTO of Zoetis, a…

When One Product Needs More Than One Leader: Getting Multi-Team Product Ownership Right

The question isn't how many product owners you need. It's how many genuine product problems your product actually has. In the final episode of this three-part series, Yuval Yeret works through the most complex…