Authors: Chris Brown - The Build Paradox, Mike Daly - Insurtech World Published: 10/03/2026 Part 5 of the series: Agentic AI in Insurance Claims: A Practitioner's Reality Check Insurers are training AI on data that was designed for a different world. The industry knows this. The
Authors: Chris Brown - The Build Paradox, Mike Daly - Insurtech World Published: 03/03/2026 The demo worked brilliantly. The pilot impressed stakeholders. The vendor’s case studies are compelling. Have you been in that position? But now someone’s asking when you can roll it out to production?
Authors: Chris Brown - The Build Paradox, Mike Daly - Insurtech World Published: 24/02/2026 ‘Fools rush in where angels fear to tread'. This article aims to keep you on the side of Agentic AI governance angels. Everyone in insurance is talking about agentic AI. The problem is,
Authors: Chris Brown - The Build Paradox , Mike Daly - Insurtech World Published: 17/02/2026 My first question is always: "Which line of business?" Why? Claims aren't one thing. The spectrum from gadget replacement to cyber incident involves fundamentally different levels of complexity, judgment, data
The demo worked brilliantly. The pilot impressed stakeholders. Now someone's asking when you can roll it out to production. This is where most AI initiatives stall, not because the technology failed, but because nobody planned for what production actually requires. The gap between demo and deployment is where
Authors: Chris Brown - The Build Paradox , Mike Daly - Insurtech World Published: 10/02/2026 Article 1 in a series As most in the insurance industry know, experienced adjusters and claims handlers are retiring faster than they're being replaced. This isn't a future problem. It&
The Model Context Protocol is everywhere. Anthropic released it in November 2024, and within months, it became the de facto standard for connecting AI assistants to external tools and data. OpenAI and Google DeepMind have adopted it. It's being called "USB-C for AI applications." I built
The deliberate path from throwaway code to production platform Most founders pick a tech stack, start building, and hope for the best. I'm building VenueLinQ, a compliance and operations platform for UK hospitality venues, and I'm building it three times. Deliberately. Not because I got it
Every system you build is already dying. That sounds dramatic, but after years of developing technology across multiple sectors, I have observed this pattern recur with uncomfortable consistency. Organisations build platforms; those platforms succeed; and then, slowly and invisibly, they begin to calcify. Velocity drops. Releases get harder. The team
I've spent 25 years building things. That probably sounds obvious for someone with "technology" in their job title, but it's worth saying because not everyone in technology actually builds anymore. Plenty of people manage. Advise. Review. Sit in meetings about what should be built.
After two decades of building SaaS platforms, I've witnessed dozens of acquisitions derailed by a single technical decision made years earlier. The choice between multi-tenant and single-tenant architecture isn't just a technical detail; it's the difference between an 8x exit multiple and being wound
How a Sunday morning disaster confirmed everything about compound interest in software Sunday morning, two weeks before Christmas. My wife toasts a teacake, the power trips. The fuse box is in the garage. The garage door is electric. There's no manual override. There's no internal door.