A journal of enterprise technology strategy
Perspectives on enterprise AI, cloud, and the operating models that make them work.
Independent commentary for CIOs, CTOs, VPs of IT, client partners, and technology leaders navigating enterprise AI, cloud modernization, and platform-led transformation across Canada and the United States.
Latest · Piece 07
FinOps Is Not a Cloud Cost-Cutting Exercise
Why technology economics must connect architecture, financial accountability and business value. A four-lever model for cloud cost, a path from showback to chargeback, unit economics for AI-enabled products, and a 120-day agenda for CIOs and CFOs.
All pieces
Vol. I · 2026-
Piece 07
FinOps Is Not a Cloud Cost-Cutting Exercise
Why technology economics must connect architecture, financial accountability and business value. A four-lever model for cloud cost — demand, architecture, rate and operations — unit economics for AI-enabled products, and a practical 120-day agenda for CIOs and CFOs.
11 min -
Piece 06
Low-Code at Scale Requires More Engineering, Not Less
Why enterprise low-code succeeds only when speed is supported by architecture, governance, product ownership and disciplined delivery. A tiered governance model, fusion-team structure, five guardrails to design in from day one, and a practical 120-day agenda.
11 min -
Piece 05
AI Will Not Fix a Fragmented Enterprise
Why integration architecture, not model capability, will determine whether enterprise AI creates scalable business value. Six integration capabilities enterprise AI requires, a CIO integration readiness assessment, and a practical modernization agenda.
10 min -
Piece 04
Application Rationalization Is Capital Reallocation
How CIOs can reduce complexity, release technology spend and redirect investment toward modernization, resilience and AI readiness. Six strategic paths, a portfolio framework, and a practical 120-day agenda for CIOs and CFOs.
10 min -
Piece 03
From Copilots to Agents
When AI can act — not merely advise — enterprise architecture, governance and accountability must change. A five-level autonomy continuum, six architecture capabilities every agent requires, and an enterprise agent control record.
10 min -
Piece 02
The Multi-Model Enterprise
Designing an AI architecture that preserves choice, strengthens control, and scales beyond individual use cases. Seven-layer reference architecture, eight model-selection criteria, and the design decisions that quietly create future lock-in.
10 min -
Piece 01
Enterprise AI Is an Operating-Model Decision, Not a Tool Decision
Why sustainable enterprise AI depends less on selecting a model — and more on ownership, architecture, governance, and measurable value. Seven decisions every operating model must make, plus a practical 90-day executive agenda.
9 min
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