// The knowledge base
Every playbook, one place.
Field-tested playbooks for the work of adopting AI — from individual tool craft to the decisions a leadership team makes before the programme starts. Some are grouped into sets; most stand alone. Start with the one that matches the problem in front of you.
· one place
· grouped
· live
· in progress
Browse the library.
Sets & stand-alone// Filter by how it's packaged, or by who it's for. A set is a named group with its own index; a stand-alone playbook is read on its own.
Transformation in the AI era.
The methodology. Six playbooks, read in order, taking an organisation from honest diagnosis to landed change. One worked example throughout — Halcyon Financial.
Open the set →How to use Claude well.
An eight-part series for individuals upskilling on AI. Plain English, no code, field-tested. Each part stands alone — read in order or pick the one that fits.
Open the set →The four layers of AI guardrails.
Putting guardrails around enterprise AI in four layers — governance, operating model, process, system — so teams move fast without the programme becoming the thing that goes wrong.
Open the playbook →All in on AI. Still waiting for the value.
A short, conceptual playbook for organisations deep in the AI swirl — five symptoms of the value paradox, four shifts out of it. Worked example: Tallowood Bank, across four functions.
Open the playbook →More AI decisions, coming.
Four more leadership-altitude playbooks in build: Align (getting the exec team to one definition of "doing AI"), Frame (choosing the lens for the decision), Cost (the true cost of AI ownership), and Measure (the AI value scorecard).
In build · not yet live