Indian lending was digitised. It was never redesigned.

withfinbox.ai is where FinBox is rethinking Indian loan origination for the AI era, with lenders who want direct input into what it becomes. Here’s where we’ve landed.

Every credit head has a list of things the LOS didn’t fix

First touch on Day 1. Disbursal on Day 12. Somewhere in between, the customer went cold.

Your RMs spend days chasing documents. Credit teams waste bandwidth reviewing incomplete files. The dashboard says 70% automation, but the team is still manually chasing.

A process built for paper, moved onto screens, and never redesigned for what it became.

None of this is a people or technology problem.

It is a design problem.

Origination workflow Five folder steps connected in sequence from Sourcing to Approval, with a geometric rework loop from Review back to Sourcing. Rework Loop 1. Sourcing 2. QDE & Verification 3. CAMs & DDE 4. Review 5. Approval

The real work isn’t retrofitting AI into origination

Almost every vendor selling ‘AI for lending’ today is answering the wrong question: where can we plug an LLM into the process we already have? That produces chatbots, smarter OCR, and a mild efficiency story. It does not produce a different loan.

The question worth asking is different. If we designed origination today, knowing what AI can be trusted to do and where it fails, what would we remove from the flow entirely?

Long, complex review steps exist only because no system could be trusted to answer on its own. Similarly, entire escalation loops exist because the assistant was never taught how the underwriter thinks.

What we’re building next

A new origination stack, powered by agentic AI.

AI agents handling judgment where judgment can be automated.

Hard rules where compliance demands them.

Tested against every edge case, before any of it touches a real borrower.

We’re working with a small number of institutions who want direct input into where agentic AI LOS goes next.

If that’s interesting, come and build with us. See what’s in progress, shape what goes in, and have a direct line to the people making the calls.

Start a conversation

How we got here

2014
BankConnect offering bank-statement intelligence at scale, before the category had a name.
2018
Expanded to LOS and end-to-end origination infrastructure, adopted across 100+ institutions.
2022
Built Credit Copilot with FTR/FTNR analysis, OCR, and document intelligence — the capability layer we build on today.
2026
200+ lenders originate on FinBox. The agentic AI LOS they’ll originate on next is being built withfinbox.ai.
Let’s talk

Built by people who’ve lived in this stack

Rajat Deshpande

Rajat Deshpande

Co-founder & CEO

10+ years of NBFC and HFC conversations. Knows where the process breaks because he’s seen it break the same way, at scale, across 200+ institutions. Writes about it at withfinbox.ai.

Srijan Nagar

Srijan Nagar

Co-founder

Building the AI infrastructure stack. Designed the synthetic testing framework. Obsessed with what reliability in regulated financial AI actually requires — and how far most vendors fall short.

Live

The thinking behind the build, as it’s happening.

We’re publishing field notes from inside the work — what we’re trusting AI to do, where it’s breaking, the calls we’re making as we design an agentic LOS in production. Real-time, unfiltered, straight from the people writing the code.