AI Agent

Agente AI de reclamaciones de seguros

Process claims in minutes instead of days

45-minute average claim processing time. Now: under 2 minutes with 98% straight-through processing.

Benefits

Transform Claims from Bottleneck to Competitive Advantage

Manual claims processing creates multi-day backlogs and frustrated policyholders. Staff review every claim line-by-line. Simple claims take as long as complex ones. This agent automates everything.

98%

Straight-through processing

<2min

Average claim time

60%

Cost per claim

Agentic Flows

End-to-End Claims Automation

Automated workflow: claim intake from FNOL or submission, data extraction and validation, coverage verification against policy, fraud detection screening, adjudication with payment calculation, payment processing.

How it works

Intelligent Claims Adjudication

The agent extracts claim data using OCR and structured formats, validates against policy terms and coverage limits automatically, detects fraud patterns and flags suspicious claims, adjudicates and pays approved claims.

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.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

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.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Integrations

Works with Insurance Core Systems

Direct integration with Guidewire, Duck Creek, Majesco, and Insurity policy and claims systems. Connects to ISO ClaimSearch, LexisNexis, and SIU tools for fraud detection. Payment via banking platforms.

Implementation

Processing Claims in 2 Weeks

Connect your policy and claims management systems. Configure adjudication rules and fraud thresholds. Most carriers process automated claims within 14 days of deployment.

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

Advanced Claims Processing

Auto Adjudication

Validates coverage, applies deductibles, calculates benefits. Pays clean claims automatically.

Fraud Detection

ML models detect suspicious patterns and known fraud indicators. Routes flagged claims to SIU.

Subrogation Management

Identifies potential recovery opportunities. Initiates subrogation workflow with documentation.

Demo

See Claim Processing in Action

Watch the agent process 100 auto insurance claims: extract loss details, verify coverage, detect 2 fraud flags, adjudicate 98 claims, calculate payments, and issue checks.