Built on your systems. Tested on your documents.
We build the workflows, AI document reading and review screens from the agreed design, connect them to the tools you already use, and prove them against your real cases.
Five steps from design to a tested automation.
Secure foundation
Managed hosting in accounts you own, single sign-on with MFA, and tightly scoped access to only the mailboxes and folders the process needs.
Workflows
Intake, matching, deadline tracking, escalations and document generation, built as reusable pieces the next workflow can call.
AI document reading
Prompts and schemas tuned to your documents, a confidence score on every field, and an accuracy report before go-live.
Review & approval screens
Spreadsheet-style queues where your team confirms matches, clears exceptions and exports what they need, each under their own name.
Testing on real cases
Every acceptance test run against representative cases, including the awkward ones: duplicates, partials, late documents and outages.
What you get
- Working workflows, versioned in your Git repository
- A control database with a full audit trail
- AI extraction accuracy report on your documents
- Your letter and report templates, automated
- Monitoring, heartbeat and error queue switched on
- Acceptance test results, signed off
Common questions
What tools do you build with?
Proven managed platforms such as n8n, PostgreSQL and Microsoft 365, plus leading AI models. We choose what fits your systems, not what suits us.
Will it replace our existing systems?
No. It connects them. Email, documents and finance systems stay where they are; the automation does the work between them.
Where does our data live?
In your accounts, in a region you approve. AI processing uses zero-retention settings and needs your compliance sign-off.