Occam's razor, applied
Complexity is a cost, not a credential. I remove what does not earn its place, then defend what stays with evidence rather than habit.
AI · Enterprise · Solution Architecture
The simplest architecture that works.
Independent advisory in AI and enterprise architecture. I strip estates back to what works, then prove the rest with evidence.
01 · Approach
How I approach an estate.
AI you can govern
Governance built around the risks that matter. It comes from running an enterprise AI assurance programme, so the controls map to how delivery runs.
Decisions you can act on
You get a recommendation, with the reasoning and the trade-offs named. No 90-page report that ends in "it depends".
02 · Engagements
Three ways to work together.
i
AI governance & assurance
Stand up AI governance that survives delivery. Risk controls, assurance, and board-ready evidence for the AI you deploy.
ii
Architecture review
An independent read on your estate: what to cut, what to keep, and the order to do it in.
iii
Pragmatic AI adoption
Adopt AI where it pays. I size the case, prove it on one workload, and scale only what works.
03 · Whitepapers
Evidence, written down.
Vendor-agnostic notes on architecture and AI governance. Practical, quantified, free to read.
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AI Assessment for Contact Centres
Vendor evaluation questions for AI in customer-facing, enquiry and appointment-booking systems. Built for procurement, RFP scoring and due diligence.
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AI Governance Quick-Start
A lean way to stand up AI governance: which controls come first, and which can wait.
Request a copy → -
Architecture Review Method
My method for taking an enterprise estate apart, from intake to a sequenced recommendation.
Request a copy → -
ECM Modernisation Playbook
A vendor-agnostic route through content platform replacement, including where the risk concentrates and how to sequence it.
Request a copy →
04 · Principal
Jake Stennett.
Occamly is me. No bench, no associates. Five years in enterprise architecture across UK regulated sectors, and I currently lead an enterprise AI governance programme.
The work is hands-on: playbooks, architecture reviews, and governance your teams pick up and run without me in the room. You get a clear recommendation and the evidence behind it. Sometimes that recommendation is don't, and I'll say so.
05 · Contact
When you have a decision to make.
Start with an email. One paragraph on the problem is enough. I'll tell you whether I can help, and how.
[email protected]