product leader — healthcare · cloud · data · ai
i build the adoption layer between great technology and the teams who need it.
across 15 years the same problem keeps appearing. the technology works. the adoption doesn't. the gap is the coordination layer between what a system can do and how people actually need to use it. i find it and build it.
proof — same diagnosis, three industries
25 → 62.5% aws health adoption. mapped events into customers' existing tools instead of a console. 33× revenue coverage.
300× ens notifications. 100× roi unlocked by workflow-fit interface. 20 → 2,500+ organizations.
6mo → 4wks abacus onboarding. real bottleneck was data mapping + legal, not security. 83% cut.
writing/
- 01 b2b-workflow-fit.md Adoption failure is rarely about capability. It's the missing interface between what a system can do and how people actually work. The same fix, twice, a decade apart.
- 02 data-integration.md The experience is a proxy. The real product is what persists when the experience is removed: consistent data and clean integration. Agents route around everything else.
- 03 data-to-intelligence.md I argued in 2015 that data copies at near-zero cost and the value is in the transformation. Agents made that cost concrete: every inference has a price, and the a priori boundary is the floor.
- 05 smb-enterprise-agents.md Agents split B2B into two markets. They reduce the cost of efficiency workflows and surface the tax embedded in coordination workflows. Different products, different bets.
- 08 healthcare-seam.md Collaborative systems move at the speed of their slowest partner. The opportunity isn't the overhaul. It's the seam.