Most AI pilots stall at the demo. We build production agents: scoped to one workflow, wired into your systems, measured against a result, and supervised by a named human.
What we build
Workflow agents
Intake, triage, drafting, reconciliation, reporting: repeatable work handled from trigger to finished output.
Knowledge agents
Agents grounded in your documents, tickets and data that answer, cite and escalate instead of guessing.
Orchestrated fleets
Several specialist agents coordinated by one orchestrator, with hand-offs, retries and a review gate.
Integrations
Connections into the systems you already run: CRMs, ERPs, ticketing, data platforms, Google Workspace and Cloud.
How we keep agents trustworthy
- Scoped access Every agent gets only the data and tools its job needs.
- Evaluated before launch We test against your real cases and agree a pass mark before anything goes live.
- Human in the loop where it matters Approval steps sit exactly where risk sits, not everywhere.
- Observable Every action is logged, so you can audit what an agent did and why.
- Cost-capped A hard spend ceiling per agent and per engagement.
What you get
Hours back
Routine handling moves to agents so experts spend time on judgement.
Consistency
The same standard on the thousandth case as on the first.
An audit trail
A record of every decision, ready for risk and compliance teams.
A good fit if you are
- Teams buried in repeatable, rules-heavy work
- Organisations whose AI pilots never reached production
- Leaders who need AI they can explain to a risk committee
Name the outcome. We'll bring the fleet.
Tell us the work you can't staff or finish. You get a fixed-scope proposal, written acceptance criteria, a hard spend cap and a named lead who answers for the result.
Request a scoping call