Capability
AI Agents & Automation
Workflows that run themselves, and stop when they should
Operational systems that carry the routine work and escalate the rest — where the interesting design question is not what the agent can do, but what it must never do without a person.
What we build
- Workflow automation across systems that were never integrated
- Operational assistants and daily decision boards
- Business process automation with explicit exception handling
- Human-in-the-loop steps at the points that carry risk
What is hard about it
System truth is not model output
The application owns what is true — the case state, the stock level, the booking. A model can read it, summarise it and suggest changes to it, and it does not get to author it. Systems that blur this produce states nobody can explain afterwards.
Human fallback is designed, not bolted on
The question is which decisions require a person, decided at design time and enforced in the workflow. An automation with no defined escalation path does not fail safely; it fails silently and is discovered downstream.
Surface exceptions, not totals
An operations board that reports how much work exists is a number. One that says which cases are late, which need a decision today, and which are about to breach is a tool. The value is in the filtering, and the filtering is the hard part.
Proven in
A daily operations board across partner offices in seven countries, with SLA state, delay detection and an exception centre that lists what needs a human decision now.