Agile in Action with Bill Raymond

There are a handful of concrete ideas - agentic vs. instructional workflows, the CDE IoT example, lead enrichment via social scraping - but the episode is padded with throat-clearing, host anecdotes, and generic closing advice that dilutes the useful content per minute.

“Agentic is like adding a very large brain to a workflow.”

“start small. Don't try and boil the ocean. Don't try and bite off more than you can chew.”

The core framing - human-centric AI, small companies 'punching above their weight,' start small - are well-worn consulting talking points, and the birth-of-the-internet analogy is a tired cliché. No counterintuitive or first-principles arguments are advanced.

“This is like the birth of the internet.”

“where a company of 10 can punch way above their weight and act as a company of 100, or a company of 100 can act like a company of 1,000”

Bill Ryan has genuine practitioner credibility from five years at Microsoft working on Copilot and agentic AI, and he now runs a consultancy applying these tools - but the conversation never surfaces deep technical or strategic depth that would signal exceptional seniority or scale.

“I started working with AI when I was employed at Microsoft. I was with Microsoft for five years.”

“I just worked with a salesperson that wanted to enrich their leads from a website”

The cold-drink-equipment case study provides the episode's best specificity - route optimisation, power-saving temperature management, and an estimated 11 million devices globally - but lacks dollar figures, measured time savings, or named clients, and most other examples stay vague.

“I think there's something like 11 million of these cold drink equipment devices out there”

“when the store closes, they'll raise the temperature of the cold drink equipment device and save power and save refrigerant”

The host is consistently affirming, rarely follows up with probing questions, and periodically redirects airtime to his own anecdotes rather than pressing the guest for deeper specifics, mechanism, or evidence. No meaningful pushback occurs in the entire episode.

“Yeah, I love that example.”

“That's really good advice. Thank you.”