
Kumaran built a RAG-powered (Retrieval Augmented Generation) conversational AI chat assistant on Azure OpenAI, enhanced to meet industry compliance and regulatory requirements. The solution was built on the Azure Cloud stack using Azure-deployed OpenAI models to parse and segment documents into logical sections with titles and content for accurate retrieval. A management UI was provided for easy knowledge base maintenance, with built-in guardrails to avoid sensitive topics such as stock picking and tax evasion.
A Tier-1 Global Bank partnered with Kumaran to transform its contact centre operations with a RAG-powered AI chat assistant built on Azure OpenAI. The solution replaced slow, manual information retrieval with instant, accurate responses drawn from the bank's full knowledge base — website content, SharePoint, documents, and training materials — all unified through a single conversational interface. Built with compliance at its core, the assistant proactively avoids sensitive topics and maintains the trust and regulatory standards expected of a Tier-1 financial institution. For this bank, the goal was not just speed — it was delivering human expert-level service at scale, consistently, across every customer interaction.
The bank's contact centre representatives were spending significant time searching across multiple disconnected sources — websites, SharePoint, internal documents, and training material — to answer customer queries. The fragmentation of knowledge made fast, accurate responses difficult, leading to increased handle times and inconsistent customer experiences. With growing query volumes and rising customer expectations, the need for an intelligent, compliant, and easy-to-maintain solution was clear.
Contact us today to learn more about our RAG-powered AI approach and the success story behind this engagement with the Tier-1 Global Bank.

Reduction in Manual Effort
70%
A Tier-1 Global Bank needed to validate 600+ printed customer communication letters — covering images, text, and formatting — against strict print specifications. Each test case was manually written by the client, requiring precise validation of formatting, text positioning, and layout adherence. Th

Migration Accuracy Achieved
90%+
The client had developed 600+ KornShell (KSH) and Sybase SQL custom scripts over the years, relying on an outdated version of FIS Mid-Office. When FIS announced a tight deadline for sunsetting support of this version, the client was required to migrate all custom scripts to a new version compatible