Digitise the operation. Then the data is ready for AI.
Mortgage, insurance and credit unions, built by people who know how those operations really work.
Most delay is not in the work. It is between the steps.
- 01
Documents arrive as pictures
Pay stubs, statements and claim photos sit as images that people read and retype, so every file waits on a person.
- 02
The rules live in people's heads
Underwriting, referrals and triage depend on a few experienced staff. Nothing is written down, so nothing can be tested.
- 03
One core, many spreadsheets
The system of record is fine. Everything around it is manual, so reporting is late and hand-offs get lost.
- 04
AI pilots without the data
Models are ready before the fields are clean, connected and permissioned, so pilots stall at the same step.
The same pattern in every vertical.
- 01
Map
Walk the workflow with the people who run it, and mark where files wait.
- 02
Digitise
Remove re-keying. Move intake, conditions and hand-offs into workflow.
- 03
Connect
A governed data layer across the core, the LOS or policy system, and the vendors.
- 04
Add AI
Narrow models on clean data, with a person reviewing the output.
Four pieces, in the order they usually go in.
- 01
Document intake
Capture, classify and extract fields from the documents that drive each file.
- 02
Workflow and exceptions
Conditions, referrals and hand-offs as tracked work, with owners and due dates.
- 03
A governed data layer
Loan, policy and member data in one place, with lineage and access control.
- 04
Integration
APIs and event streams into the core, the loan or policy system, and external sources.
Narrow, auditable, and never the last word.
What we automate
- Reading and classifying documents
- Extracting fields and checking them against the file
- Scoring and routing work to the right person
- Flagging exceptions and missing items
What stays with people
- Credit, underwriting and claims decisions
- Anything that needs judgement or context
- Commitments to customers and members
- Overrides, with the reason recorded
We design each output to be traceable: the source document, the rule or model that produced it, and who reviewed it.
