Read applications faster, and catch edited documents before disbursal.
For banks, NBFCs, fintechs and co-lending partners that underwrite on bank statements, salary slips, GST returns and KYC documents.
What slows the work down today.
Credit and operations teams re-key figures from bank statements, salary slips and GST returns into the loan system by hand.
Each application waits in a queue for someone to read dozens of pages.
Edited statements and salary slips look genuine at a glance and are often found only after disbursal.
What Slate Cue replaces.
Today
- Documents arrive over email, WhatsApp and branch uploads
- Operations staff type key figures into the loan system or a spreadsheet
- A credit analyst re-reads the documents to check the typing
- Fraud checks are manual spot checks, if time allows
With Slate Cue
- Applicants upload documents or send them on WhatsApp
- Parse extracts transactions, balances, salary and turnover, each linked to its source
- Shield flags edits, mismatches across documents and numbers that do not add up
- Analysts review only low-confidence fields and flags, then push data to the loan system by API
Built from the same platform.
Parse
Structured data from business documents, with every field traced to its source.
Shield
Catch edited, forged and AI-generated documents before they cost you.
Assist
Answers from your own documents and data, on WhatsApp, voice and web.
Recommend
Next-best actions, based on what your documents say.
What changes for your team.
We will measure these with you during the pilot, on your own documents.
- Faster credit decisions, with less time spent on data entry
- Fewer keying errors in the loan file
- Tampered documents flagged before money goes out
- An audit trail that shows where every number came from
See how Slate Cue works for your team
Tell us what you work with. We will set up a short demo using sample documents like yours, and talk through a pilot.
- A short call with the people building the product
- Free pilot for our first 10 customers
- Your documents stay private. We never use them to train models.