A desk with financial charts and reports under review
Financial services

AI for financial services

Relayworks AI builds AI systems for banks, NBFCs, lenders, brokers and fintechs — KYC and onboarding, document review, reconciliation, collections communication and customer servicing — built so every automated decision is logged, explainable and reviewable.

Three colleagues in discussion at a desk
The context

What we hear from financial services teams

  • Onboarding that takes days because documents are checked by hand
  • Reconciliation across systems that disagree by design
  • Servicing queries that need a human only because data is hard to find
  • Audit and compliance evidence assembled retrospectively
Use cases

Where we would start

KYC & onboarding
Document extraction, validation and cross-checking with confidence thresholds and mandatory human review on anything uncertain.
Credit file preparation
Statements, filings and supporting documents summarised into a structured pack with every figure traceable to its source.
Reconciliation
Transaction matching across systems, with unmatched items explained rather than just flagged.
Servicing assistant
Agent-facing retrieval over policy and account data, so a human answers faster with the source in front of them.
A group seated around a table in discussion
Boundaries

Where we draw the line

We do not build systems that make credit or eligibility decisions autonomously. In regulated decisioning the model prepares and evidences; a person decides. That boundary is also what makes the system defensible in an audit.

Questions

Frequently asked

Regulatory context we design around: RBI guidance on outsourcing and IT governance, DPDP Act 2023, full decision audit trails and data residency.

Colleagues working together around a table with laptops

Let’s talk about a financial services process worth automating.

A 30-minute call. We will tell you honestly whether there is a case worth building — and if there is not, we will say so.