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Frameworks, field notes and working guides.
A working library on enterprise AI and transformation, organised the way I think about the discipline — written for operators, not algorithms. Published under CIO Forum, alongside the Adoption Curve newsletter.
Agentic & evolving AI systems
Whitepaper · 14 min
Structure is deterministic. Content is generative.
A six-phase production methodology for building auditable agentic systems that survive contact with a regulated enterprise.
Guide · 20 min
Enterprise RAG & agentic AI deployment guide
Taking retrieval-augmented and agentic patterns from prototype to production, with the governance baked in.
Comparison · 9 min
Centralised vs embedded vs hybrid agent governance
Three operating models for enterprise agents — what each costs in control, speed and auditability, and when to choose which.
AI governance
Framework · 11 min
TOGAF-mapped AI enablement guide
AI capability mapped onto an architecture framework boards already recognise — governance as a structure, not a slogan.
Memo · 7 min
An AI risk & security plan on NIST CSF
A working security-plan template for an AI programme, mapped to NIST CSF and UAE regulatory expectations.
Adoption Curve · Edition 01 · 6 min
Escaping pilot purgatory
Why 70–90% of enterprise AI pilots never reach production — and the operating moves that get them out.
Cybersecurity, cloud & data
Brief · 8 min
Non-human identity: the surface no one owns
Agents and service accounts now outnumber people. The identity sprawl they create and how to govern it.
Model · 12 min
The AI cost landscape model
A unit-economics model for a 50-use-case enterprise — roughly $3.3M–$4.3M gross annual, broken down so it can be governed.
Essay · 5 min
Data readiness is the work nobody books
Quality, lineage and ownership decide whether models earn trust. The unglamorous foundation under every credible AI programme.
Adoption Curve
One letter a month. No noise.
Frameworks, post-mortems and reading notes on enterprise AI and transformation — written for operators. Subscribers also receive the Board's Enterprise AI Readiness Scorecard: a practical 20-question diagnostic covering strategy, value, data, platforms, governance, security, people and adoption.