AI Agent

Intercompany Reconciliation AI Agent

Eliminate intercompany differences before consolidation

Intercompany differences delay consolidation every month. AI matches and resolves IC transactions in real time automatically.

Benefits

Close Faster Without Intercompany Delays

Intercompany reconciliation delays consolidation every month with mismatched transactions, timing differences, and forex variances. Manual IC matching takes days. Unresolved differences force consolidation adjustments. This agent eliminates IC issues in real time.

Real-time

IC reconciliation

Zero

IC consolidation differences

3 days

Faster consolidation

Agentic Flows

Complete IC Reconciliation Automation

Automated workflow: IC transaction extraction from all entities, automated matching with tolerance handling, difference identification and categorization, resolution proposal generation, adjustment entry creation, confirmation workflow across entities, consolidation readiness reporting.

How it works

AI-Powered IC Transaction Matching

The agent extracts IC transactions from all legal entities automatically, matches receivables to payables with fuzzy logic handling timing and forex differences, identifies and categorizes unmatched items with root cause analysis, generates resolution proposals and audit 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.

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 Multi-Entity ERP Systems

Direct integration with SAP, Oracle, NetSuite OneWorld, Microsoft Dynamics for multi-entity GL data. Handles forex revaluation and timing differences automatically. Exports IC reconciliation reports to consolidation systems.

Implementation

IC Reconciliation in 3 Weeks

Connect multi-entity ERP systems and define IC accounts. Configure matching rules and tolerance thresholds. Most companies eliminate IC differences within 3 weeks 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

IC Reconciliation Features

Auto IC Matching

Matches IC transactions despite timing, forex, and tolerance differences. Handles all IC types automatically.

Difference Resolution

Identifies root causes of IC differences. Proposes adjusting entries and routes for approval across entities.

Real-Time Monitoring

Tracks IC balances continuously. Alerts to new differences before month-end close begins.

Demo

See IC Reconciliation in Action

Watch the agent reconcile 500 IC transactions across 10 entities: match 450 automatically, identify 50 differences, propose adjustments, route for approval—ready for consolidation.