Application & document intake
Secure capture of applicant details and documents with a unique application number and controlled storage.
Try “KYC”, “Bedrock”, “Claude”, “insurance” or “ISO”.
Case study · FinTech / Lending Infrastructure
Document AI agents that parse, validate and structure KYC and financial documents, then match applicants to lenders, cutting loan processing from days to minutes.

Results at a glance
The challenge
For lenders, speed is limited by documents, not capital. CoinTribe faced manual collection of Aadhaar, PAN, bank statements and TIN documents, slow verification and fragmented credit assessment.
The solution
Skugal built a document intelligence platform where specialised agents parse, validate and structure financial documents in real time, from intake to lender hand-off.
Secure capture of applicant details and documents with a unique application number and controlled storage.
Textract extraction plus custom ML checks for authenticity and completeness, with real-time error detection.
Automated statement parsing into income, expense and cash-flow summaries for underwriters.
PAN-based credit score retrieval, rule-driven lender shortlists and secure case transfer.
End-to-end audit logs, role-based access and SMS/email updates at every stage.
How it works
Business impact
CoinTribe launched a production-grade loan processing platform that turns document-heavy lending into a real-time, scalable credit decision system.
Technology
In lending, speed comes from understanding documents, not just collecting them.
Next step
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.