Code Is Cheap, Trust Isn’t
State of Software Engineering 2026: what changed when AI started writing software, what the evidence says, and what leaders should build next.
- D-03Measurement & Evidence
- D-01Enterprise AI
Enterprise AI transformation · Value measurement · Open source
Advisor, AI strategist, author, and innovator.
Enterprise AI advisor and author of The Value Cube and The Enterprise EPIC. Frameworks, research and open tools for proving what AI is actually worth.
- 01Optimise for value per trusted outcome, not cost per token.
- 02Enterprise AI doesn't need another tool. It needs a different way of thinking.
- 03Cost is instantly visible; value stays murky.
- 04A trusted outcome is accepted, citable, and useful.
- 05No claim without evidence. Prove the saving first.
- 06Six faces. One picture you can score, optimise, and defend.
4 of 10 projects
All work →Frameworks, tools, and systems
C2Valis: The Cost-to-Value Intelligence System
A vendor-neutral operating model that connects the six places enterprise AI value is won or lost into one picture you can score, optimise, and defend.
- D-01Enterprise AI
- D-02Cost-to-Value
Where the Gain Goes
A free 80-page research report on why AI productivity gains show up per developer and thin out before they reach production.
- D-03Measurement & Evidence
- D-01Enterprise AI
The Sovereign Architect-Engineer (SAE) Framework
A team-of-one methodology for the AI era: one person with deep architecture and domain knowledge designing, coding, testing, and shipping enterprise software.
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- D-05Systems Architecture
- D-06Engineering Leadership
What I argue
- 01Optimise for value per trusted outcome, not cost per token.
- 02Enterprise AI doesn't need another tool. It needs a different way of thinking.
- 03Cost is instantly visible; value stays murky.
- 04A trusted outcome is accepted, citable, and useful.
- 05No claim without evidence. Prove the saving first.
- 06Six faces. One picture you can score, optimise, and defend.
Latest writing
All writing →- 001The AI Value SystemWhy machine capability is not enterprise value. A short video on Business AI, Human AI, and deciding which work should exist at all.Video · 4½ min
- 002The AI productivity gain is real. It is not reaching main.Why the AI productivity studies disagree, where the difference goes, and what the report does to make its own claims checkable.
- 003Verification debt, and why Agent Karma writes no codeAI writes more of the code each year; the share anyone verifies does not keep pace. Framed through dharma and karma, and the tool built for it.
- 004From Automation to Autonomy: What Agentic AI Means for Enterprise LeadersTwenty minutes with Ankit Bose on Agents 3.0: agent ecosystems that adapt rather than automate, and the transparency, governance and human oversight they demand.
Books
All books →The Value Cube
Building the Trusted Outcome Economy with Enterprise AI
400 pages · 6×9 · 7 parts · 30 chapters
The Enterprise EPIC
From Data Abundance to Decision Clarity in the AI Era
356 pages · 6×9 · 18 chapters in 9 parts
Working together