AI Agent

Suspicious Activity Reporting AI Agent

File complete SARs in hours instead of days

8 hours average to prepare one SAR. 30% rejection rate from incomplete narratives. Now: complete, compliant filings in under 2 hours.

Benefits

Complete SAR Filings Without the Crunch

SAR preparation is time-consuming and high-stakes. Incomplete narratives get rejected. Missing details invite regulatory scrutiny. The SAR Agent drafts complete filings from investigation data automatically.

75%

Faster preparation

Zero

Rejection rate

100%

Narrative completeness

Agentic Flows

End-to-End SAR Automation

Automated preparation workflow: case data extraction and organization, narrative section generation, subject and transaction detail formatting, supporting documentation assembly, compliance validation, and BSA E-Filing preparation.

How it works

Intelligent SAR Preparation

The agent pulls data from investigation cases, generates compliant narrative sections, validates all required fields, checks for common rejection causes, and prepares filing-ready documents for review and submission.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Works with Your AML Systems

Direct integration with Actimize, SAS, and Oracle FCCM case management. Connects to core banking for transaction details. BSA E-Filing system submission support through FinCEN portal.

Implementation

Filing Faster in 14 Days

Connect your case management system and configure narrative templates. Set validation rules for your SAR types. Most teams prepare their first AI-assisted SAR within two weeks.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

SAR Preparation Tools

Narrative Generation

AI-drafted narratives covering required elements. Includes transaction patterns, subject details, and red flags.

Compliance Validation

Checks all FinCEN requirements before submission. Flags missing fields and incomplete sections.

Supporting Documentation

Assembles relevant transaction records and investigation notes. Complete package for filing and audit.

Demo

See SAR Preparation in Action

Watch the agent build a complete SAR from investigation case data: generating narrative sections, formatting transaction details, validating compliance, and preparing for E-Filing.