AI Agent

Payment Reconciliation AI Agent

Match every payment to the right invoice automatically

$50 per misapplied payment. Or $0 with AI. Your choice. Automatic matching for even the messiest remittance data.

Benefits

Perfect Payment Matching at Scale

Misapplied payments create customer confusion and AR chaos. Manual matching is slow and error-prone. Complex remittances require detective work. The Payment Reconciliation Agent matches everything automatically.

99%

Auto-match rate

80%

Time saved

Zero

Misapplied payments

Agentic Flows

Complete Cash Application Automation

Automated matching workflow: multi-channel payment ingestion (lockbox, ACH, wire, check), remittance data extraction and parsing, invoice matching with ML-enhanced logic, deduction classification and routing, exception handling, and AR system posting.

How it works

Intelligent Payment Matching

The agent processes incoming payments from all channels, parses complex remittance data, matches against open invoices using multiple identifiers, handles partial payments and deductions, and routes exceptions with context.

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 Financial Systems

Direct integration with SAP, Oracle, NetSuite, and Sage for AR data. Bank connections for payment files. Lockbox processing through major banks. REST APIs for custom systems.

Implementation

Matching Payments in 7 Days

Connect your bank feeds and AR system. Configure matching rules and deduction categories. Most teams process their first payment batch within one week 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 Matching Technology

Remittance Intelligence

Parses structured and unstructured remittance data. Handles EDI, PDF, and email remittance formats.

Deduction Management

Classifies deductions by type automatically. Routes to appropriate teams for resolution.

Complex Matching

Handles partial payments, consolidated payments, and payment on account. Matches by amount, date, and customer logic.

Demo

See Payment Matching in Action

Watch the agent process a complex lockbox file with partial payments, consolidated checks, and deductions. See how exceptions route with full context for rapid resolution.