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Code Colonies

Industry

BFSI

Faster onboarding, loans and claims, with an audit trail the regulator will accept. Banks, NBFCs, insurers and brokers sit between customers and regulators, so every workflow has to be quick for the customer and explainable to RBI, SEBI or IRDAI. Core systems are usually old and stable; the gains come from the layers around them: onboarding, origination, servicing, collections and reporting.

  • NBFCs and housing finance companies
  • Cooperative and small finance banks
  • Insurance companies and brokers
  • Stock brokers and wealth managers
  • Microfinance institutions
  • Asset management companies
Bank teller at a desk assisting customers inside a bank branch

The pressure points

What slows bfsi teams down

Manual KYC and onboarding
PAN, Aadhaar, bank statements and income proofs are checked by hand. Drop off is high and every file waits in a queue for an operations executive.
Core systems that resist change
Core banking and policy admin systems were built for batch processing. Adding a digital front end means careful integration with the systems already there.
Regulatory scrutiny of every release
RBI and SEBI expect change management, outsourcing controls, data localisation and audit logs. Weak evidence turns an inspection into months of remediation.
Collections and servicing at scale
Thousands of EMI reminders, bounce cases and service requests are handled through calls and spreadsheets, with little view of what is working.

Built for this sector

Systems specific to bfsi

The work that generic software does not cover, and where most of the value sits.

Digital KYC and onboarding
Video KYC, CKYC registry lookup, DigiLocker and Aadhaar based eKYC through licensed providers, PAN verification and penny drop bank checks.
Account Aggregator integration
Consent based bank statement and financial data fetch through the AA framework, parsed into an underwriting summary.
Co-lending and BRE engine
Configurable business rules for eligibility, pricing and co-lending splits with partner banks, versioned and explainable.
AML transaction monitoring
Rules and scenarios for suspicious patterns, alert workflows and STR and CTR preparation for FIU-IND.
Regulatory reporting pipelines
Automated extraction and validation for CIC bureau submissions, XBRL returns and internal MIS from source systems.

Where AI helps

AI use cases with a clear return

  1. KYC document checks

    Reads PAN, Aadhaar (masked), address proofs and bank statements, checks consistency across documents and flags mismatches for an officer.

    Operations teams review only the exceptions, and turnaround time drops for clean files.

  2. Bank statement analysis

    Extracts income, obligations, bounces and unusual credits from statements to prepare a credit memo draft.

    Credit officers start from a structured summary and keep the final decision.

  3. Collections prioritisation

    Scores overdue accounts on likelihood to pay and best contact channel, and drafts reminders in the customer's language.

    Field and call teams focus on the accounts where contact makes a difference.

  4. Circular and policy assistant

    Answers staff questions from RBI circulars, master directions and internal policies, citing the paragraph used.

    Compliance teams spend less time on repeat questions and staff act on the current rule.

  5. Claims fraud signals

    Flags claims with unusual patterns such as early claims, repeat hospitals or document tampering for investigation.

    Investigators see the riskier claims first while genuine claims move faster.

What your team would see

Lending operations
Illustrative
Disbursed (MTD)
₹48.6 Cr
Login to sanction TAT
2.4 days
30+ DPD
3.1%
Open grievances
62

Monthly disbursals, ₹ Cr

Monthly disbursals, ₹ Cr, point 1: 31Monthly disbursals, ₹ Cr, point 2: 33Monthly disbursals, ₹ Cr, point 3: 35Monthly disbursals, ₹ Cr, point 4: 34Monthly disbursals, ₹ Cr, point 5: 38Monthly disbursals, ₹ Cr, point 6: 41Monthly disbursals, ₹ Cr, point 7: 40Monthly disbursals, ₹ Cr, point 8: 44Monthly disbursals, ₹ Cr, point 9: 46Monthly disbursals, ₹ Cr, point 10: 48.6

Applications by source, %

  • Branch34
  • DSA29
  • Digital22
  • Co-lending10
  • Referral5

A sample of the kind of dashboard we build for this sector. Figures are illustrative.

Connects with

  • Core banking systems (Finacle, Flexcube and others)
  • CKYC registry and UIDAI licensed KYC providers
  • Account Aggregators
  • Credit bureaus (CIBIL, Experian, Equifax, CRIF)
  • NPCI NACH and UPI AutoPay
  • DigiLocker
  • FIU-IND reporting

Rules we design for

  • RBI Master Direction on KYC
  • RBI Master Direction on IT Governance, Risk, Controls and Assurance Practices
  • SEBI Cybersecurity and Cyber Resilience Framework
  • IRDAI regulations
  • PMLA 2002
  • DPDP Act 2023

Before you start

BFSI: common questions

Do you replace our core banking system?

Rarely. We build onboarding, origination, servicing and reporting around the existing core through its APIs or integration layer, which carries far less risk.

Where is customer data hosted?

In India, on your cloud tenancy or data centre, in line with RBI data localisation expectations. AI calls are routed only to approved endpoints, and personal data is masked where it is not needed.

Can AI make credit decisions?

We design it to support the people who decide. Models prepare summaries and scores, a credit officer signs off, and every recommendation is logged with its inputs.

Talk to us

Working in BFSI?

Tell us which process hurts most. Someone who knows the sector will reply with two or three options and rough hours.

All industries
Timeline

Start a conversation

Tell us what you are trying to build.

Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.

Or get a ballpark proposal in two minutes

A specialist replies within one working day. The first conversation is free.

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