Industries — Banking & Financial Services

Control first. Automation that can face an audit.

For banks, NBFCs, and regulated fintechs, the first questions are where the data lives, who touched it, and whether the regulator can see the trail. We build to those questions before anything else.

Discuss a compliance-first build

What hurts

The problems we get called about

The most risk-averse buyer on this site — rightly. These are the problems that survive that scrutiny.

Regulatory reporting by spreadsheet

Returns assembled manually from a dozen systems, every cycle, with the version history living in filenames.

KYC and AML document volume

Identity and income documents reviewed by hand — slow, inconsistent between reviewers, and unauditable at scale.

Fraud found at month-end

Anomalies caught in reconciliation weeks after the transaction, when the money and the trail have both moved on.

Core systems that don't talk

The core banking system, the LOS, and the CRM each hold part of the customer — integrations exist as nightly files and hope.

What we build here

Core banking integrations with complete transaction-level audit trails
Regulatory reporting automation — assembled from source systems, reviewed before filing
KYC / AML document processing with human decision on every flagged case
Credit risk models built and explainable on your own book
Real-time fraud and anomaly detection with case-management workflow

Built to the rules that bind you

RBI guidelines
Outsourcing, IT governance, and audit-trail expectations treated as design inputs, including regulator access to logs.
Data localization requirements
Payment and customer data stored and processed in India — on your premises or a private cloud you control.
DPDP Act 2023
Consent, purpose limitation, and residency handled in the data layer, not bolted on for the audit.

Case study

How it lands in practice

Banking & Financial ServicesAI-fication

[ANONYMIZED] non-banking financial company

Problem: KYC onboarding meant manual review of identity and income documents — slow, inconsistent, and impossible to audit at volume.
What we built: Document intelligence that extracts, verifies, and flags KYC documents for human decision, deployed on-premise with a complete audit trail.
Measured result: Onboarding time cut from [X] days to [X] hours
[N] documents processed per day with human review on flagged cases only
Every automated decision logged and reviewable for RBI audit

Bring your compliance team to the first call

We'd rather answer the hard deployment and audit questions before a single line is written.

Discuss a compliance-first build