From the AI jungle to a governed factory
Start with company strategy and goals, then work down to where and how AI is best implemented to achieve and improve them.
Top-down meets bottom-up
Most organisations experience both approaches at once. The challenge is making them work together.
Two capabilities. One flywheel.
Augment
Humans see and decide more. AI surfaces information, patterns and options that would take hours to assemble manually.
Automate
Machines do the repeatable. Workflows that follow known patterns run without human intervention.
Augment informs what to automate. Automation frees people to see more. The compound effect: lower cost, higher speed.
Monitor security, legal, regs, ethics and cost
Three failure modes, three boundaries.
A hostile document tells the agent to do something we did not ask for. Untrusted content sandboxed, human approval for sensitive actions, scoped tool permissions.
An agent that browses the open web inherits everything on it. Allow-listed destinations, read-only sessions, no credentials shared with the model.
Every connector is a key to Notion, to Slack, to the CRM. Least privilege per task, per-user OAuth, revocable tokens, logged actions.
Tokens are real money. Spend them well.
Right answer, fewest tokens. Tight instructions, structured outputs, cut context that is not earning its place.
Cheap model for routine, premium for hard. Step the right size for the job, skip Claude when a script will do, batch where it makes sense.
Do not pay twice for the same answer. Prompt and result caches, reuse retrieved context, measure cost per task and watch the trend.
For ourselves, our clients, our staff and regulators.
Where it lives, what crosses borders, how long we keep it. GDPR / UK-GDPR lawful basis, minimum-necessary inputs, retention and deletion windows.
Their data does not train, leak, or cross-pollinate between accounts. Zero-data-retention with the model provider, per-tenant isolation, contracts honoured end to end.
A decision the AI influenced still needs a person who owns it. Every action logged and reviewable, sensitive workflows gated by approval, AI assists, humans decide.
The AI factory
Five governance stations. Same creativity, now aligned, de-duplicated, catalogued, adopted and continuously monitored.
Align the technical approach. One stack and shared conventions, so everything is compatible by default.
Consolidate initiatives. Merge overlapping efforts. Build it once, not five times.
Create and curate a catalogue. Every skill, agent and app described, versioned and discoverable.
Ensure it is used and followed. People find what exists and reuse it before building anew.
Monitor the artefacts. Regulatory, legal, ethical and security risk watched continuously.
The full lifecycle: Strategy and roadmapping. Data and architecture. Build and integration. Ongoing support. Optimisation and training.
