AI Agents for Finance

AI Agents for Finance

Finance teams spend the last week of every month in a manual grind. Invoice matching, account reconciliation, variance analysis, report generation. AI agents do the repetitive work so your team closes the books faster and catches errors before they compound.

The Problem

Month-end close takes 5-10 business days at most companies. Staff accountants match invoices to POs line by line. Reconciliation spreadsheets have thousands of rows. Variance reports require pulling data from three systems and formatting it manually. Every hour spent on this is an hour not spent on analysis or planning.

How AI Agents Solve It

An AI agent processes invoices as they arrive, matches them to purchase orders, flags exceptions, and posts approved entries. During close, it reconciles accounts, identifies variances, and generates the reports your CFO needs. Your team reviews and approves instead of building from scratch.

How It Works

1

Invoice Capture and Matching

The agent reads incoming invoices (PDF, email, EDI), extracts line items, and matches them against purchase orders and receiving records. Three-way matches get auto-approved. Exceptions go to a human review queue.

2

Reconciliation and Variance

The agent pulls balances from your GL, bank feeds, and sub-ledgers. It matches transactions, identifies discrepancies, and generates a reconciliation report with explanations for each variance.

3

Reporting and Close

The agent compiles financial reports (P&L, balance sheet, cash flow) from your GL data. It flags unusual items, adds period-over-period comparisons, and formats everything for review.

What You Get

Process invoices in seconds

What takes 5-10 minutes per invoice manually takes the agent under 15 seconds, including three-way matching and validation.

Faster month-end close

Reconciliation and reporting that used to take days happens in hours. Your team reviews output instead of building it.

Catch errors early

The agent flags duplicate invoices, pricing discrepancies, and unusual transactions as they happen, not at month-end.

Clean audit trail

Every transaction, match decision, and approval is logged. Auditors get clean documentation without your team scrambling to assemble it.

75%
reduction in month-end close time
99%
invoice matching accuracy
4 wks
to production deployment

Related Solutions

AI Agent DevelopmentView →
Agentic AutomationView →
Multimodal RAG SystemsView →

Related Use Cases

Invoice ProcessingView →
Report GenerationView →

Frequently Asked Questions

Does the agent post journal entries directly?+
It can, but most teams use an approval step. The agent prepares the entry and a human approves it before posting. You control which entry types get auto-posted based on your risk tolerance.
What ERP systems does it work with?+
We integrate with SAP, Oracle, NetSuite, QuickBooks, Xero, and Sage. The agent reads and writes through your ERP's API.
How does it handle multi-currency transactions?+
The agent applies the correct exchange rate based on your accounting policy (transaction date, period average, or spot rate) and flags any currency-related variances during reconciliation.
Can it handle intercompany reconciliation?+
Yes. The agent matches intercompany transactions across entities, identifies mismatches, and generates elimination entries for consolidation.

Ready to put AI agents to work?

We build production-grade AI agents for your specific workflows. Most projects go live in 4-6 weeks.