BFSI

AML Investigations are Drowning in False Positives, Manual Data Gathering, and Fragmented Information.

Bandhan Technologies’ AML Investigations Platform combines Agentic RAG-driven intelligence with multi-entity relationship graph analytics, giving investigators the fastest path from alert to decision and the most complete picture of financial crime networks.

AML Teams Are Overwhelmed.
And Under-equipped.

US financial institutions collectively file over 3 million SARs annually, with an estimated 90% false positive rate on transaction monitoring alerts. Each investigation requires analysts to manually access 8 to 12 disparate systems, aggregate information from structured and unstructured sources, and build relationship maps by hand. The result is average investigation cycle times of 15 to 25 days, compliance fatigue, and regulatory risk from inconsistent investigation quality.

What Is the AML
Investigations Platform?

The AML Investigations Platform is an AI-powered investigation acceleration tool that combines Agentic RAG (Retrieval-Augmented Generation) with embedded multi-entity relationship graph intelligence, enabling investigators to rapidly surface, connect, and act on financial crime signals across all available data sources.

Core Capabilities

Agentic RAG Investigation Engine

Run, monitor, support, and optimize enterprise applications, digital platforms, workflow systems, and customer-facing technology environments.

Multi-Entity Relationship Graph

Establish operating cadences, SLA tracking, service controls, escalation paths, reporting dashboards, and performance governance for distributed GCC teams.

Optimal Investigation Path Guidance

Support cloud operations, infrastructure monitoring, access controls, environment stability, release readiness, and operational continuity.

Multi-Modal Information Mining

AI, automation, knowledge agents, and self-healing workflows are used to reduce manual effort, improve turnaround times, and strengthen service reliability.

SAR Drafting
Automation

Support integrated process and technology operations where customer experience, operational accuracy, and delivery speed are critical.

Incremental
Intelligence

Identify recurring issues, optimize workflows, improve service quality, and report measurable value across cost, speed, resilience, and user experience.

Business Impact

30 to 40%

more cases handled per analyst per month

25 to 30%

more cases handled per analyst per month

80%

more cases handled per analyst per month

60 to 70%

reduction in manual data-gathering time per case

Technical Architecture

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Agentic Orchestration Layer

Autonomous AI agents coordinate multi-source data retrieval, synthesis, and investigation workflow management.

Graph
Database

A purpose-built financial crime knowledge graph with entity resolution and relationship inference capabilities.

RAG Pipeline

A retrieval-augmented generation layer that synthesizes findings from 50 or more internal and external data sources.

Explainable AI

Every finding and recommendation comes with a confidence score and evidence chain, audit-ready and examiner-defensible.

Compliance Workflow Integration

Integrates with leading case management platforms including NICE Actimize, Oracle FCCM, and Fiserv for seamless investigator workflow.

Reduce Your Investigation Cycle Time by 60% While Improving SAR Quality

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