Eighty percent of a process got automated, the other twenty breaks the flow, and now someone checks every case by hand. Or an agent was handed a task and nobody can say afterwards why it did what it did.
We map the exceptions first, because the exceptions are the work. Each step goes to the cheapest thing that does it reliably: a rule, a lookup, a model or a person. The automation runs beside the manual process until the numbers say it can take over.
What we offer
- Document intake and routing
- Workflow agents with approval points
- Rules where rules are cheaper
- Audit log and time-saved measurement
How we work
- 01Map the workflow, exceptions included
- 02Split steps: rule, model, or person
- 03Build with approval points and a log
- 04Run beside the manual process
- 05Measure, then widen the scope
Also in AI
- AI Strategy & Readiness: Which use cases pay, in what order, and what is not worth it.
- AI Integration: Language models inside the product you already have, with guardrails and evals.
- Data & Custom ML: Trained models and optimisers for the problems a prompt cannot solve.
Ready to talk?
