Research & Analysis
Operating architecture insights
Perspectives on operating architecture, AI governance, and intelligent operations.
I've Watched the Same Million-Dollar Mistake Twice
Both times the architecture call was right. Both times the contract that paid me made it almost impossible to say so. Here's the structural reason your delivery partner can't give you the answer you actually need — before you commit the spend.
Frontier Transformation Assumes a Decision You Haven’t Made
Microsoft’s Frontier Transformation is a capable answer to adopting AI at scale. The problem is the question it answers — and the architecture decision it quietly assumes you have already made.
The Five Pillars of Enterprise AI Readiness
Most organisations measure AI readiness with the wrong metrics. Five pillars determine whether your organisation can actually run agents.
Impressions Are the Bill.
LinkedIn told me 2,539 people saw my last article. Six of them read it. McKinsey just described the identical failure in enterprise AI spend — and underneath both is the same architecture problem: when you never define the outcome, you end up governing the meter.
The Unsolved Part is Ambition
Most organisations deploying AI are competing on model capability — the part vendors have already settled. The unsolved part is ambition, and it is architecture work.
The Transformation Paradox Is an Architecture Problem
Microsoft's own 2026 Work Trend Index data says the value of AI lives in the operating model, not the tools.
Where does your organisation fit?
15 questions. 5 pillars. ~15 minutes. Free.
Take the Architecture Index →Why AI Projects Fail: The Five Structural Gaps
MIT 2025: 95% of enterprise generative AI pilots fail. The cause is five structural gaps in the operating architecture underneath.