AI Agent

Vendor Statement Reconciliation AI Agent

Reconcile hundreds of vendor statements in minutes

Vendor reconciliation takes 40 hours monthly. AI matches statements to AP in minutes, finds every discrepancy automatically.

Benefits

Stop losing money to vendor statement discrepancies

Manual vendor statement reconciliation takes 40+ hours monthly. Discrepancies go undetected causing overpayments. Vendor disputes delay month-end close. This agent reconciles hundreds of vendors in minutes with perfect accuracy.

95%

Faster reconciliation

100%

Discrepancy detection

$50K+

Annual savings from discrepancies found

Agentic Flows

Complete vendor reconciliation automation

Automated workflow: statement collection from multiple sources, OCR and data extraction, matching to AP sub-ledger with confidence scoring, discrepancy identification and categorization, aging analysis and reporting, dispute package preparation.

How it works

Intelligent statement matching

The agent imports vendor statements from email, portals, and EDI automatically, matches statement lines to AP invoices and payments with fuzzy logic, identifies discrepancies including pricing, quantity, and payment mismatches, generates reconciliation reports with dispute documentation.

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.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

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.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Integrations

Works with your AP and ERP

Direct integration with NetSuite, SAP, Oracle, QuickBooks, and Sage AP systems. Collects statements from email, vendor portals, EDI, and PDF uploads. Exports reconciliation reports to Excel and accounting systems.

Implementation

Reconciling vendor statements in 1 week

Connect your AP system and vendor statement sources. Configure matching rules and tolerance thresholds. Most companies reconcile all vendors within 7 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

Vendor statement reconciliation features

Auto statement collection

Retrieves statements from email and portals automatically. No manual downloads or data entry ever.

Fuzzy matching

Matches despite invoice number variations, date differences, and amount rounding. Finds all discrepancies.

Dispute documentation

Generates dispute packages with supporting documents. Tracks resolution status and aging automatically.

Demo

See vendor reconciliation in action

Watch the agent reconcile 200 vendor statements: match 5,000 invoices, identify 150 discrepancies worth $75K, generate dispute packages—all in 10 minutes.