TCS BaNCS adds AI core to power banking innovation

By Vriti Gothi

Tata Consultancy Services (TCS) has introduced a new AI-focused core layer to its TCS BaNCS platform, a step in embedding advanced artificial intelligence capabilities into core banking, securities, and wealth management systems.

The new offering, called TCS BaNCS AI Compass, integrates machine learning, deep learning, generative AI, and pre-built intelligent agents into the existing BaNCS product suite. The upgrade is aimed at helping banks and financial institutions move beyond pilot-stage AI adoption toward scalable, governed, and production-ready use cases.

The launch comes at a time when financial institutions are under pressure to improve operational efficiency and decision-making while managing rising regulatory scrutiny around AI transparency, bias, and accountability. By focusing on explainable and traceable AI, TCS is positioning AI Compass as a tool for decision-makers responsible for technology, risk, and compliance.

According to TCS, the platform’s no-code, configurable interface allows teams to build, train, test, and deploy AI agents across multiple lines of business without extensive development effort. The tool is designed to work across banking, securities services, and wealth management, enabling institutions to apply AI consistently across the transaction lifecycle.

In banking, pre-built AI agents support use cases such as customer onboarding, credit underwriting, and multi-channel query resolution. In securities services, the AI engine can assist with tasks including predicting tax treatment of payouts, classifying dividends versus interest, identifying missing data in corporate actions, and interpreting complex documents—areas traditionally reliant on manual review.

Jennifer Smith, Executive Vice-President and Chief Technology Officer, Zions Bancorporation, said, “We see a strong vision in TCS BaNCS AI Compass and are encouraged by how it could help our TCS BaNCS users apply AI in practical ways making their work more efficient and helping manage risk more effectively.”

Governance and compliance are central to the design of AI Compass. The solution includes built-in guardrails such as audit logging, data lineage tracking, bias testing, and traceable workflows. These features are intended to help institutions meet enterprise and regulatory standards while allowing users to understand how AI-driven decisions are generated.