Back-office work,
handled by models
We hand the repetitive, rules-heavy steps of your operation to models that read, decide and route. A person approves the edge cases, and every decision is logged.
- Typical
- 6–10 weeks
- Pricing
- Fixed price per phase
- Group
- AI and automation
What you get
AI process automation
Hand repetitive back-office tasks to models that read, decide and route, with a person approving the edge cases.
Process map
We sit with the team doing the work today and write down every step, rule and exception.
The automation
Models read the inputs, apply your rules and complete or route each case through your existing systems.
Review queue
Cases below a confidence threshold you set wait for a person, with a summary of why.
A weekly report
Volumes, accuracy, time saved and the cases that needed help, so you can see it working.
Where it fits
Good places
to start
- 01Invoice and order intake
Reading documents, matching them to records and posting them to your finance system.
- 02Onboarding checks
Collecting documents, checking them against policy and chasing what's missing.
- 03Request routing
Classifying inbound requests and sending each to the right team with the key details.
How it runs
Small steps,
shown every week
- 1–2 weeksDiscover
We map how the work happens today and agree what done looks like.
- 2–4 weeksPrototype
The riskiest part first, on your real data, while change is cheap.
- 2-week sprintsBuild
Weekly demos and a shared backlog you can reorder at any time.
- OngoingRun
Monitoring, agreed response times and a monthly review of usage.
Questions
Before you start
How do you choose what to automate first?
What happens when the model is unsure?
Who owns what you build?
AI process automation
Tell us what
you need.
A 30-minute call with the people who would do the work, then a written proposal.