AI Agents for Finance & Accounting Teams

Finance teams don't need another dashboard — they need the invoice queue cleared, expense reports checked, and contracts read before renewal deadlines slip by. AI agents can do the first pass on all three, as long as a human still signs off before money moves.

Invoice processing without losing control

The Invoice Processor Agent reads incoming invoices, extracts line items, matches them against purchase orders, and flags discrepancies — currency mismatches, duplicate invoice numbers, amounts that don't match the PO. It drafts the booking entry and, where you've connected Exact Online, prepares the transaction. Nothing posts automatically: a reviewer sees the extracted data side-by-side with the source document, edits anything that's off, and approves or rejects before it touches the ledger. You get the speed of automation on the tedious part — reading and matching — without handing over the keys to your accounting system. Start from one of the AI agent templates and adjust the matching rules to your chart of accounts.

Expense reports that flag policy violations, not just typos

The Expense Report Agent checks submitted expenses against your policy — spending limits, allowed categories, missing receipts — and summarizes anything unusual for the approver instead of burying it in a spreadsheet. It can pull the relevant policy clause from your knowledge base so the approver sees not just "flagged" but why. Employees still get faster turnaround because the agent does the first pass overnight; controllers still make the actual approve/reject call.

Contract review that grounds every answer in the actual document

The Contract Reviewer Agent reads vendor and customer contracts and answers questions like "what's the notice period" or "does this renew automatically" by citing the specific clause and page, not by guessing from general contract knowledge. This works because of knowledge base & RAG: the agent is grounded in your uploaded contracts, policies, and prior correspondence (PDF, DOCX, Notion, Confluence), and every claim comes with a citation back to source. That matters for finance and legal review — you can verify the answer in seconds instead of re-reading the whole document yourself.

Approvals and controls stay with your controller

None of this works as a compliance risk if agents can act unsupervised on financial data. AgentWorks agents are built around human-in-the-loop pipelines: any action classified as high-risk — posting a journal entry, approving a payment, finalizing an expense reimbursement — pauses and waits for an authorized reviewer. The reviewer can edit the agent's output directly before it executes, so corrections don't require restarting the whole run. This isn't a bolt-on approval screen; it's the default execution path for anything touching money.

An audit trail you can hand to an auditor

Every agent run is classified by risk level and logged: who triggered it, what was sent to the model, what came back, and what a human approved or changed. Because AgentWorks redacts PII at the gateway before any request reaches a model, and keeps finance data in the EU on the managed cloud (or fully self-hosted on Enterprise), you have a defensible answer to "where did this number come from and who approved it." This is EU AI Act readiness & controls in practice — AgentWorks is AI Act-ready, not a blanket compliance claim, because some finance use cases (like automated credit scoring) fall into higher-risk categories under the Act and need their own classification and safeguards. Review the specifics in the Trust Center before you scope a use case that touches credit decisions.

Reports and reconciliations, without leaving the chat

Once an agent has pulled invoice or expense data together, you can ask it to generate a reconciliation summary or month-end report directly in the chat canvas — as an Excel workbook, Word document, or PDF, ready to export or hand to your controller. No separate export step, no reformatting a chat answer into a spreadsheet by hand.

Cost control on every run

Finance teams tend to care about the meter as much as the output. AgentWorks runs on transparent token pricing: an AUTO router picks the cheapest capable model per task across GPT-5, Claude, Gemini, and Mistral Large, tokens are billed at cost plus 10% from a single € wallet, and you see live per-run spend with budget caps you set. Start on the Free plan (€0, €5 credit, 50+ agents including the three above, up to 3 integrations) to test invoice and expense workflows, then move to Pro (€39/mo) for scheduled runs and custom workflows, or Team (€49/seat/mo) once more than one controller needs to review and approve.

Summary: AI agents can draft invoice matches, flag expense policy violations, and summarize contract clauses — but in AgentWorks, nothing posts, pays, or finalizes without a human reviewer's approval, and every action is logged for audit.

Frequently asked questions

Can an AI agent post an invoice directly to our accounting system?

No. The Invoice Processor Agent prepares the booking entry and matches it to the PO, but posting is classified as a high-risk action and waits for an authorized reviewer to approve or edit it first.

Is AgentWorks compliant with the EU AI Act for finance use cases?

AgentWorks is built to be EU AI Act-ready — per-agent risk classification, immutable audit trails, and PII redaction at the gateway — but it isn't a blanket compliance guarantee. Some finance applications, like automated credit scoring, fall into higher-risk categories and need their own review; check the Trust Center for specifics on your use case.

Where does our financial data go when we use these agents?

On the managed cloud, finance data stays within the EU. If you need it to never leave your own infrastructure, Enterprise plans support self-hosting.