AI & AGENTS · HOW WE DEPLOY AI

AI you can sign off on.

Data boundaries, permissions, staged rollout and a clear human-machine division of labour — the page for the people who have to approve this.

PRINCIPLES

Four rules we deploy by.

Agents run on systems, not vibes: Every agent sits on an operational system with real data and real rules — not a chatbot guessing from the internet.
Your data stays yours: Explicit data boundaries per engagement: what the agent can read, where it runs, what never leaves.
Humans keep the decisions: Agents draft, propose and flag. People confirm. The confirmation points are designed in, not bolted on.
Prove it small, then scale: Deployment is staged — one workflow, measured, then wider. No big-bang AI programmes.

DATA & SECURITY

Define the boundary: Which data the agent may access, and where processing happens, is agreed before any build.
Set the permissions: Agent access mirrors your role-based permissions — it sees what the role it serves would see.
Log everything: Agent actions are auditable: what it read, what it produced, who confirmed it.

ROLLOUT

Stage 1 — shadow: The agent drafts alongside the current process; outputs are compared, not used.
Stage 2 — assisted: The agent's drafts enter the workflow behind a human confirmation step.
Stage 3 — routine: Routine cases flow through with spot-check review; exceptions always route to people.