In preparation
The 10x Enterprise Architect
with AI
AI writes the Terraform, drafts the data model, proposes the integration pattern, generates the business-capability map — in seconds, across every layer of the architecture. The enterprise architect’s job in 2026 isn’t to prompt faster — it’s to lead what the machine produces, across all four domains: business, data, application, and technology. This book is the practitioner’s guide to that transition: the frameworks, the failure modes, the decision tests, and the new definition of what an enterprise architect is actually for.
The article series
Each article is a chapter. Read them here as the book takes shape.
The 10x enterprise architect isn't the one who prompts fastest
Read article →What to let AI automate — and the two questions that draw the line
Read article →The policy-as-code gate — where infrastructure safety actually lives
Read article →The approved module library — the runway your AI actually runs on
Read article →Cross-system design: where AI informs and the architect integrates
Governance decisions and who can sign them
The failure modes AI coding tools reliably miss
Security baseline: what to encode before the first AI-generated config ships
Building the practice: leading a team that uses AI daily
From firefighter to decision-maker: the enterprise architect in 2027
“If you can’t beat them, lead them.”
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