Fintech’s paperwork, on autopilot — with your team in control.
Onboarding shouldn’t be the slowest thing about your product. We automate the document work that stalls it — KYC and KYB packets read and cross-checked, statements reconciled, dispute files assembled — with an evidence trail a reviewer can walk end to end. The paperwork moves; the decisions stay with your policies and your people.
The onboarding file, opened
- Read
- Cross-checked
- Flags raised
- An onboarding packet, opened: four documents — an ID document, a proof of address, a corporate registry extract, and a bank statement — are read, cross-checked, and screened for flags.
- The checks then route to a decision card, where your policy applies an approve-or-review outcome, with a person on the calls that matter.
The documents
The file room of a fintech, by heart.
- KYC packets
- KYB and beneficial-ownership documents
- account applications
- bank statements
- loan files
- dispute and chargeback evidence
- remittance records
- AML and sanctions-screening records
Different providers, different formats, same fields buried inside — extraction reads the content, not the template.
Every decision, receipted.
When the question comes — and in this industry it comes — the trail answers the same day, not after a week of forensics.
- Received
- source and file, logged
- Read
- every field, with its confidence
- Checked
- against your rules, versioned
- Decided
- by whom, under which policy
- Filed
- where the auditor expects it
In this sector
We’ve already built for the financial sector.
AI products for a financial-sector client that enhanced their data analytics and automated their core processes — built under the strict compliance standards this work demands.
From scoping to deployment the process stayed transparent and collaborative, and the result drove real value for the business.
The same practice that ships DocuPOW. See DocuPOW →
“We highly recommend POWITUP to any organization seeking top-tier AI software development.”
The practices behind it
- AI Automation the intake-to-decision workflow itself
- Data Analytics the reporting the trail makes possible
Questions
Asked by fintech teams.
Do you make the approve/decline call?
No — and you shouldn’t want a vendor who does. Your policy makes the call; we make sure it’s applied to complete, verified, consistent information, with the reasoning receipted.
Will this stand up when a regulator or auditor asks?
What we build is the evidence: every document’s path, every check, every human touch, queryable. Your compliance team owns the framework; we hand them a trail they can stand on.
Won’t automation bury us in false flags?
A queue full of noise is a failed build. Thresholds are tuned on your real files during the X-Ray, and the review queue is designed around quality of escalation, not volume of it.
Where does customer data live?
In your systems, under your keys. Access is scoped to the task, every touch is logged, and your data trains nothing outside your walls.
Our core system is old and closed.
Common, and survivable — file drops, database taps, and carefully built bridges cover what APIs don’t. That wiring is our AI Integration practice; it’s met worse.
Where do teams usually start?
One packet type — onboarding files or dispute evidence are the usual first wins. Prove the trail on one, then widen.