Four weeks from "we should automate this" to something doing the work.
We start with the process, not the model. Audit the steps, count the volume, price the exceptions — then build the narrowest thing that removes the most hours, instrument it, and hand you the dashboard that proves it is still working in month six.
- Week 1
- Process audit & baseline
- Week 2
- Prototype + eval set
- Week 3
- Integration & guardrails
- Week 4
- Shadow run, then live
- You keep
- Code, prompts, evals
The processes that reward automation first.
High volume, rule-heavy, and currently done by someone who would rather be doing something else.
Document intake
Invoices, timesheets, referrals, claims and contracts read, validated against your rules, and posted into the system of record with a confidence score.
Support triage
Inbound email and tickets classified, routed, drafted and — for the safe categories — resolved outright, with everything else escalated with context attached.
Knowledge assistants
Retrieval over your policies, contracts and past work, answering with citations your team can click — and refusing to guess when the source is not there.
Back-office agents
Multi-step workflows across systems that have no integration between them — reconciliation, onboarding packs, compliance chasing, data hygiene.
Reporting & summarisation
Board packs, weekly operations summaries and exception reports assembled from live data, in your house format, on a schedule.
Voice & outbound
Appointment reminders, screening calls and follow-ups handled by a voice agent with a scripted escalation to a human on any uncertainty.
Every automation has a way to say "I am not sure".
The confidence gate is the part that makes automation safe to leave running. Below it, work goes to a person — and that person's decision becomes training data.
The paperwork your compliance team will ask for, written before they ask.
UK GDPR does not have an exemption for interesting technology. Every automation we ship comes with the documentation that makes it defensible — and a switch that turns it off.
The first audit is a fixed-fee engagement sized to the process — typically one to two weeks. You get the process map, the volume baseline, a payback estimate and a build plan, whether or not we do the build.
No. We use enterprise API tiers with training disabled, and where the data class requires it we deploy models inside your own tenancy so nothing leaves your boundary at all.
It goes to the review queue rather than into your system. Every reviewer correction is captured as a labelled example, and the eval suite runs against that set before any release — so accuracy moves in one direction.
Yes, and many clients do. The repository, prompts, eval sets and runbooks are yours. We offer a support agreement if you want us on call, but it is optional and cancellable on 30 days.
Whatever fits the constraint: hosted model APIs, open-weight models on your infrastructure, n8n or Temporal for orchestration, and your existing queue and database rather than a new platform to license.
Bring us the task everyone complains about.
If the numbers do not justify automating it, we will say so on the first call — that answer is free and takes half an hour.