Essays & white papers
Adam Fisher
Coding was never the constraint. I write about the full product development lifecycle: the operating models, governed knowledge, and AI tooling that let product, engineering, architecture, and security share context once and understand it everywhere.
Latest white paper · October 2026
The AI Value Illusion
Operationalizing AI beyond adoption. AI has made producing work cheap, but the operating model around that work was built for a world where producing work was expensive, so the capacity AI frees gets absorbed instead of redeployed.
White paper · June 2026
The Addressable Enterprise
A governed knowledge graph for the age of agents: give every artifact a business address, file knowledge as a by-product of shipping, and let people and AI interrogate the organization through one trusted layer.
White paper · February 2026
Value-Driven Technology Investment
Connecting engineering investment to measurable business outcomes through systematic value validation, cross-functional optimization, and ROI accountability.
Read →White paper · October 2025
Atlas: The Enterprise Intelligence Platform
A unified intelligence layer connecting customer behavior, organizational knowledge, and regulatory awareness, so every AI tool and agent works from complete context.
Read →White paper · September 2025
Agentic Software Development
How AI agent orchestration restructures the way software is conceived, built, tested, deployed, and maintained, with the ROI case for financial services.
Read →In progress
- The One-Context Build. A full cross-platform product (5 websites, 2 mobile apps, 4 TV apps, scale-to-zero AWS backend) shipped solo in 12 weeks with parallel agents, as a controlled test of the idea that a team sharing one context stops paying the coordination tax.
- The Frontier Model Tax. Open-weight models and workload routing as the enterprise answer to per-token pricing, with hands-on evaluation across local machines, EC2, containers, and Bedrock.
- The Agentic SDLC: Enterprises Are Not Ready. Why the barrier to agentic delivery is organizational belief, not technology.
About
I'm a technology executive working to pioneer AI enablement, putting generative and agentic AI into production. I've spent 25 years building platforms and leading teams of up to 60 engineers across financial services and retail. Hands-on by choice.
My first endeavor was adopting AI coding tools to transform the software development lifecycle. I founded Lightspeed, an in-house AI engineering initiative that grew from a 50-user pilot to hundreds of engineers working with Claude Code and custom agentic tooling. It worked, and it taught me something bigger: execution was already the fastest part of the product development lifecycle.