Document review with a log.
We build the extraction and review of one document type, such as onboarding evidence. Every step is logged, and the data stays in your environment.
More on this trackHow it works
How we work with you.
We work in .
In financial services, every decision may need to be explained to an auditor later. AI is only as good as its audit trail.
01Starting point
What we usually see in financial services.
- Onboarding and KYC documents are reviewed and retyped by hand.
- There is no clean record of which vendors see which data.
- AI projects stall because nobody can explain the data path to the regulator.
02First step
Where we would start.
03Example
Before and after.
Reviewing onboarding documents
Export, not search
Export, not search
Reviewing onboarding documents
Export, not search
Before
- The team checks onboarding documents against checklists by hand.
- Each review leaves a note, not reliable evidence.
- Before an exam, the search begins.
After
- Documents are extracted and checked against rules. A person decides.
- Every step is written to the log with a timestamp and a hash.
- Evidence for the exam is an export, not a search.
Export, not search · target state before an exam
04Systems
Systems we connect.
- Core banking via API
- Onboarding and KYC tools
- Document management and archive
- Your own cloud account
- Matproof for compliance evidence
SOC 2 and your regulators
Auditors want to see who touched which data and why. Our logs, and the Matproof connection, produce that evidence continuously instead of once a year.
05Engagement
Three ways to work with us.
Every format ends with something that runs. None of them ends with a presentation.
Start01
Data check
We look at your real files and systems and build a first slice on your own data. You get a working prototype and a fixed price for the pilot.
Build02
Pilot
One source or one use case, end to end, inside your own system. Fixed scope, fixed price. You pay for a running pipeline, not for hours.
Ongoing03
Operation
We run, monitor and extend the pipelines. New sources, model updates and evidence come with it. A monthly fee instead of timesheets.
06Process
Four steps.
- 01
Data intake
We look at your real files and systems. Not the ideal format, the one that actually arrives.
- 02
Pilot
One case, end to end. In two to three weeks you see the result inside your own system.
- 03
Roll out
More sources and cases follow. Mapping becomes configuration, not new code.
- 04
Handover or operation
You take over, or we keep running it. Either way the code is yours.
07Calculator
What does the manual work cost you?
Set how much time goes into manual data work today. The calculator shows what a pipeline could take over.
3 people
10 h per week
$55
60 %
- value per year
- $45,540
- hours freed per year
- 828
- full-time roles
- 0.5
An estimate from your inputs, not a quote. Based on 46 working weeks and 1,650 hours per full-time role. The data check shows what share is realistic for you.
Does this match your case?
Send us two sentences about it. You get a reply within 24 hours.