Industry

AI for Banking

Branch and back-office automation, customer contact and compliance, at core-banking scale and reliability.

Capabilities
67
Regulations in scope
4
Systems integrated
5

The constraint that defines this sector

In banking, core banking systems are not to be touched, so everything integrates around them. Everything we build here is shaped by that before it is shaped by the technology, the guardrails, the approval points and the evidence trail are design inputs, not things added before go-live.

Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.

Sector context

Defining constraint
core banking systems are not to be touched, so everything integrates around them
Regulations in scope
RBI master directions · PMLA and AML · DPDP Act 2023 · cybersecurity framework for banks
Systems of record
Finacle · Flexcube · core banking platforms · CRM · loan management systems
Where we usually start
account opening documentation

Workloads worth automating here

  • account opening documentation
  • AML alert triage
  • customer service automation
  • loan file assembly
  • branch reporting

Capabilities for banking

Questions from this sector

Will this touch our core banking system?

No. We integrate through supported interfaces and read replicas, never by modifying the core.

How do you handle AML false positives?

Context enrichment and tuned scoring so alert volume matches investigator capacity, with every decision explainable in a case file.

AI in banking, where would you start?

Bring us the constraint, not the technology. We will tell you what is realistic under it.

Or email bd@dtrasglobal.com · call +91 74118 77878