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Fraud Detection & Transaction Monitoring Intelligence

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Unveiling BFSI AI Solutions with NeoroTalks

Welcome to our BFSI Use Case Portfolio, where we demonstrate how NeoroTalks transforms traditional banking operations into secure, intelligent, and fully governed AI-driven systems. Each use case reflects real, high-demand banking scenarios-where compliance, speed, accuracy, and trust are non-negotiable.

In today’s fast-evolving financial landscape, banks and financial institutions must modernise operations without exposing sensitive data or violating regulatory mandates. NeoroTalks enables BFSI organisations to move from manual, fragmented processes to a unified Agentic AI operating layer-securely deployed on-prem or in private cloud.

Fraud Detection & Transaction Monitoring Intelligence

Traditional rule-based fraud systems generate high false positives and struggle with evolving fraud patterns. Fraud teams are overwhelmed with alerts and limited context.

Current Industry Challenge:

High false positive rates

Struggles with evolving fraud patterns

Overwhelmed fraud teams

Limited context for investigations

What NeoroTalks Solves

NeoroTalks augments existing systems with AI-assisted Fraud Intelligence, enabling:

Behavioural pattern analysis

Transaction summarisation

Natural-language investigation queries

Explainable fraud insights

How It Works

The Fraud Intelligence system continuously monitors transactions and provides AI-powered insights to help fraud teams make faster, more accurate decisions.

Transaction and behavioural data is ingested

AI identifies anomalies and patterns

Investigators query cases via Private AI Chat

Explainable summaries support decisions

Actions remain human-approved

Business Impact

Earlier fraud detection

Reduced false positives

Faster investigations

Improved risk team productivity

Deployment Snapshot

Industry: BFSI – Fraud & Risk Management

Solutions Used: Private AI Chat, Analytics Engine, Compliance & Risk Agents

Deployment: On-Prem / Private Cloud

Impact: Reduced fraud losses, faster investigations, stronger controls

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