BFSI

Real-time fraud detection and investigation support with explainable decision trails

We enabled real-time fraud flagging, automated rule-based claim verification, and created explainable decision trails for a leading insurance provider.

We made a visible and measurable impact to our client's business

  • Significant reduction in claims processing turnaround time
  • Improved fraud detection accuracy with early-stage flagging
  • Reduced manual intervention
  • Deterministic and auditable decision trails
  • Lower claims leakage. Better operational efficiency

The insurer moved from reactive fraud checks to proactive, real-time detection embedded within adjudication workflows.

Challenge

Industry overview

Insurance claims functions operate under high regulatory scrutiny while managing large volumes of structured and unstructured data. This includes claim forms, policy documents, hospital submissions, and supporting records. Speed and accuracy directly impact customer satisfaction and financial exposure.

The problem

Our client’s existing claims workflow was heavily manual:

  • Manual extraction of claim data from forms and supporting documents
  • Policy validations performed separately in core systems
  • Human-driven rule application
  • Hospital coordination and document rechecks
  • Fraud checks performed late in the process

This led to high turnaround time, manual errors, limited fraud detection, increased operational burden, and compliance risks.

Our role

Ganit was engaged to design an intelligent, explainable, and scalable claims adjudication system that integrates automation, rule governance, and fraud controls within a single workflow.

Our approach

Methodology

Intelligent Data Capture - We deployed GaniParser IDP for automated extraction of structured and semi-structured data from claim documents, minimizing manual input errors.

Deterministic Rule Engine - A configurable rule-based engine was implemented to validate policies, apply adjudication logic, and standardize decision-making. This ensured consistency across assessors and cases.

Embedded Fraud Detection - Fraud checks were integrated directly into the claims flow using predefined patterns and risk flags. Suspicious claims were routed for further review through a structured maker–checker workflow.

System Integrations - Seamless integration with policy services and core insurance systems ensured real-time validation and synchronized data exchange.

Explainable Decision Trails - Every decision—approval, rejection, or flag—was traceable to rule logic and validation checks, creating transparent and auditable outputs for compliance and regulatory reviews.

How did we enable consumption?

  • Straight-through processing for low-risk claims
  • Exception-based routing for flagged cases
  • Role-based workflow visibility for assessors and compliance teams
  • Clear, system-generated reasoning attached to decisions

A valuable difference

Our impact

We delivered more than automation. Ganit embedded intelligence and governance into the claims lifecycle.

  • Claims were processed faster without compromising control
  • Fraud detection moved upstream into real-time validation
  • Decisions became explainable and defensible
  • Operational teams shifted focus from manual review to exception management

By combining intelligent document processing, deterministic rule governance, fraud flagging, and workflow control, we enabled the insurer to modernize claims adjudication with measurable efficiency gains and stronger risk protection.

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