AI Automation Agents: Run Reconciliations with a Single Command

Month-end reconciliations take days of manual work, pulling data from multiple systems, matching transactions, investigating variances, and documenting everything. ChatFin Automation Agents execute entire reconciliation workflows automatically with simple natural language commands.

Published: February 6, 2026
ChatFin Automation Agent running prepaid reconciliation for March 2025

Finance teams spend weeks every month on reconciliations. Controllers manually pull invoices from AP systems, export GL balances, build complex Excel models, perform matching logic, and investigate every variance. The scale of this problem is detailed in our step-by-step guide to building AI agents for account reconciliation.

Prepaid expense reconciliations alone consume 8-12 hours per month. Accrued liabilities take another 10-15 hours. Balance sheet account reconciliations add 20-30 hours. Most of this work is repetitive data gathering and manipulation, not actual analysis.

ChatFin Automation Agents eliminate the manual work. Type a command like "Run my prepaid reconciliations for March 2025", the agent automatically pulls invoices, retrieves account balances, applies reconciliation templates, performs matching, and flags exceptions. Complete automation in seconds.

Example: "Run my prepaid reconciliations for March 2025" , Automation Agent pulls 4,678 invoices from AP system, retrieves GL balance for prepaid accounts, applies prepaid expense template with amortization logic, performs line-by-line matching, identifies 47 mismatches requiring review, and completes reconciliation in 23 seconds. Manual process would take 8-10 hours.

ChatFin AI Agents Core Capabilities - Invoice Intelligence, Custom Dashboards, Automated Close, Anomaly Detection

How ChatFin Makes Reconciliation Effortless: No complex setup. No coding required. No technical expertise needed. Just type what you want to reconcile in plain English, and ChatFin handles everything,data gathering, matching, variance analysis, and documentation. What used to take 8 hours of manual Excel work now takes a single 10-second command.

The Manual Reconciliation Problem

Data Gathering Takes Hours: Log into AP system. Export invoice details to Excel. Log into GL system. Export account balances to Excel. Download supporting documentation from shared drives. Organize files in reconciliation folder structure.

Manual Matching is Tedious: Build VLOOKUP formulas to match invoices to GL entries. Manually review mismatches one by one. Investigate date differences, amount variances, and missing transactions. Update spreadsheets with explanations.

Template Complexity: Prepaid reconciliations require amortization calculations. Accruals need expense allocation logic. Each account type has different matching rules and thresholds. Building and maintaining Excel templates is time-consuming.

Version Control Chaos: Multiple people working on reconciliations. "Final_v3_revised_FINAL.xlsx" naming conventions. Emailing spreadsheets back and forth. No clear source of truth on reconciliation status.

Audit Trail Gaps: Documentation scattered across emails, shared drives, and local computers. Hard to prove what was reconciled, when, and by whom. Auditors request evidence that takes hours to compile.

How ChatFin Automation Agents Work

ChatFin Automation Agents understand natural language commands and execute complete workflows autonomously. You issue a command. The agent orchestrates every step,data retrieval, template application, matching logic, exception identification, and documentation. Learn more about this approach in our complete guide to AI agents in finance.

Command-Based Execution

Give instructions in plain English: "Run my prepaid reconciliations for March 2025" or "Reconcile all balance sheet accounts for Q4." Agent understands intent and executes automatically.

Automatic Data Retrieval

Agent pulls invoices from AP system, retrieves GL balances, accesses supporting documentation, and gathers any other required data sources,all without manual intervention.

Intelligent Template Application

Applies correct reconciliation template based on account type. Prepaid templates include amortization. Accrual templates apply expense allocation. Custom logic for each workflow.

Automated Matching Logic

Performs line-by-line matching using AI-powered algorithms. Matches by invoice number, amount, date, vendor, and custom criteria. Handles fuzzy matching for near-duplicates.

Exception Detection

Automatically identifies mismatches, variances, and exceptions. Categorizes issues by type,date differences, amount variances, missing entries. Quantifies total discrepancies requiring review.

Audit Documentation

Creates complete reconciliation documentation automatically. Timestamps every action. Maintains evidence trail. Generates audit-ready reports showing what reconciled and what requires attention.

Real World Impact: From 8 Hours to 23 Seconds

Before ChatFin: Senior accountant logs into AP system at 9:00am Monday morning. Exports 4,678 invoices to Excel. Logs into GL system, exports prepaid account balance. Spends 2 hours organizing data. Builds VLOOKUP formulas for matching. Manually reviews 200+ mismatches. Investigates date differences and amount variances. Updates reconciliation spreadsheet with explanations. Finishes at 5:30pm. 8.5 hours of work.

After ChatFin: Senior accountant opens ChatFin at 9:00am Monday morning. Types "Run my prepaid reconciliations for March 2025." Automation Agent executes in 23 seconds,pulls all invoices, retrieves GL balance, applies prepaid template, performs matching, identifies 47 mismatches. Accountant reviews only the 47 exceptions, spending 45 minutes on actual analysis instead of 8 hours on data work.

Impact: Reconciliation time reduced from 8.5 hours to 23 seconds of automation plus 45 minutes of exception review. 90% time savings. Staff focus shifted from data manipulation to actual accounting analysis. Month-end close accelerated by 6 days across all reconciliations.

Key Benefits of Automation Agents

One-Command Execution: No multi-step processes. No opening multiple systems. Just issue a command and the entire workflow executes automatically. Complexity hidden behind simple interface.

Complete Workflow Automation: Not just data extraction or matching. Entire end-to-end process automated,from data gathering through exception identification to audit documentation. True workflow automation.

Template Intelligence: AI applies correct reconciliation logic based on account type. Prepaid amortization, accrual allocation, intercompany netting,all handled automatically with proper accounting treatment.

Exception Focus: Automation handles everything that reconciles cleanly. You only review exceptions and variances requiring judgment. 90% of work eliminated, focus on 10% that matters.

Speed and Scale: Process any volume in seconds. 100 invoices or 100,000 invoices,execution time is the same. Manual work scales linearly with volume. Automation scales infinitely.

Audit Trail Automatic: Complete documentation created automatically. Every data source timestamped. Every matching decision logged. Every exception categorized. Audit-ready evidence without manual compilation.

Common Automation Use Cases

Prepaid Expense Reconciliation: "Run my prepaid reconciliations for March 2025", Agent pulls invoices, applies amortization schedules, matches to GL, identifies items requiring adjustment. Handles insurance, software licenses, rent, and any prepaid category.

Accrued Liability Reconciliation: "Reconcile accrued liabilities for Q4", Agent analyzes expense patterns, calculates accrual amounts, validates against vendor invoices, flags variances. Automates complex expense allocation logic.

Balance Sheet Account Reconciliation: "Run all balance sheet reconciliations for month-end", Agent processes multiple account types simultaneously. Each account gets appropriate template. Complete balance sheet reconciled in minutes.

Intercompany Reconciliation: "Reconcile intercompany accounts across all entities", Agent matches transactions between entities, identifies timing differences, calculates netting entries, proposes eliminating entries. Complex multi-entity reconciliation automated.

Bank Reconciliation: "Run bank reconciliations for all accounts", Agent pulls bank statements, matches to cash book entries, identifies outstanding checks, calculates deposits in transit, reconciles bank balance to GL.

AR/AP Reconciliation: "Reconcile AR subsidiary ledger to GL", Agent analyzes customer balances, identifies discrepancies between subledger and GL, flags items requiring correction. Same logic for AP reconciliations.

Implementation Process

Week 1: Template Configuration
Define reconciliation templates for each account type. Configure data sources, matching rules, exception thresholds, and approval workflows. ChatFin provides pre-built templates for common reconciliations.

Week 2: System Integration
Connect ChatFin to your ERP, AP system, GL, and other data sources. Verify data access and field mapping. Test data retrieval across different account types and periods.

Week 3-4: Parallel Testing
Run automated reconciliations in parallel with manual process. Compare results. Validate accuracy. Refine matching logic and exception rules. Build team confidence in automation.

Week 5-6: Production Deployment
Transition to fully automated reconciliations. Staff focus shifts to exception review and variance investigation. Manual data work eliminated. Month-end close time reduced significantly.

Month 3+: Continuous Optimization
AI learns from exception patterns. Matching logic improves. False positives decrease. Exception categorization gets smarter. Process efficiency compounds over time.

Why ChatFin Automation Agents

True Workflow Automation: Not point solution for one step. Complete end-to-end workflow automation from command to completion. Everything automated, not just pieces.

Natural Language Commands: No complex UI navigation. No clicking through multiple screens. Just tell the agent what to do in plain English. Simplest possible interface for most complex workflows.

Accounting Intelligence Built-In: AI understands prepaid amortization, accrual accounting, matching concepts, and reconciliation logic. Not generic automation adapted for finance,built specifically for accounting workflows.

Enterprise System Integration: Native connectors to SAP, NetSuite, Oracle, Dynamics 365, and other ERP systems. Access data where it lives without ETL complexity or manual exports. See how multi-ERP finance automation eliminates integration overhead.

Audit and Compliance Ready: Every execution logged with complete audit trail. Data lineage tracked. Changes documented. Evidence automatically compiled. Meets SOX and audit requirements without additional work.

Platform Integration: With the advent of AI, finance teams no longer need to buy multiple specialized tools for every workflow. AI can reason across processes, adapt to context, and configure itself to support a wide range of needs.

That is exactly what ChatFin does. ChatFin provides pre-built AI agents designed for specific finance use cases,while still working together as a single, unified platform. Each agent handles a focused workflow, but the system as a whole supports many use cases without requiring separate point solutions.

This is why many CFOs now prefer a platform like ChatFin instead of managing 10 different tools,reducing complexity, cost, and manual coordination while gaining broader automation and insight.

Get Started with Automation Agents

Stop spending days on manual reconciliations every month. Stop building complex Excel templates that break. Stop manually gathering data from multiple systems.

ChatFin Automation Agents execute complete reconciliation workflows with simple commands. Run prepaid reconciliations, accrued liabilities, balance sheet accounts, intercompany balances,all automated in seconds with complete audit documentation.

Talk to Our Experts: We know choosing the right tools is confusing. Our experts have worked across many platforms and can help you see what actually works,and what's next with AI. Talk to us, and we'll walk you through it.