Sector
Finance and banking
Instant knowledge access and zero hallucination in finance
The customer quotes and brand details below are representative content, prepared to show the structure of the template.
The challenge
Finding an answer inside more than 60,000 pages of regulation, internal policy and credit procedure took operations teams hours. The risk that a generic AI would answer a regulatory question incorrectly, and the possibility that unauthorised people could reach sensitive documents, were the two blockers.
Our approach and integration
We built change-data-capture pipelines into the existing SharePoint, Documentum and PostgreSQL stores. Instead of static memory, we designed a hybrid RAG architecture combining BM25 keyword retrieval with dense semantic search. A Milvus cluster holds the vectors, and access rights are bound to the group's Active Directory and LDAP so that row-level security decides what each user can see.
Results and impact
Regulatory look-up time for branch and operations teams fell from an average of four hours to three seconds.
Context precision reached 99.4%.
Operational risk and penalty exposure from misreported information went to zero.
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