Explore how NeoroTalks helps enterprises and regulated industries move from complex problems to secure, scalable AI solutions. Each case study highlights real-world use cases, governed deployments, and measurable outcomes powered by Agentic AI.
KYC and AML processes remain heavily manual, document-intensive, and error-prone. Compliance teams must review identity documents, financial statements, regulatory rules, and internal policies—often across disconnected systems.
Bank staff handle thousands of daily queries related to products, policies, transactions, and customer issues. Knowledge is scattered across manuals, SOPs, systems, and emails, leading to:
Traditional rule-based fraud systems generate high false positives and struggle with evolving fraud patterns. Fraud teams are overwhelmed with alerts and limited context.
BFSI organisations generate massive volumes of financial reports, MIS dashboards, and regulatory submissions for internal leadership, auditors, and regulators. These reports are often built manually by consolidating data from multiple systems—core banking, lending platforms, finance tools, and spreadsheets—leading to:
Banks manage thousands of regulatory circulars, policies, audit reports, and compliance documents. Searching and interpreting them is slow and error-prone.