Automate Expense Report Categorisation with AI
Stop spending hours manually sorting receipts and tagging GL codes. Architect's AI agent reads every expense submission, classifies it against your chart of accounts, flags policy violations, and syncs to your ERP — in under 10 minutes to deploy.
Key Statistics
Why It Matters
Finance teams lose an estimated 14 hours per employee per month reconciling and categorising expenses manually. Errors cascade into misreported GL codes, failed audits, and slow reimbursements that hurt employee trust. An AI agent that handles categorisation at the point of submission eliminates the bottleneck at the source — not after damage is done.
Works With Your Finance Stack
Platform Capabilities
LLM-Powered Classification
The agent uses large language models to interpret merchant names, descriptions, and amounts — mapping each line item to the correct GL account code in your chart of accounts, even for ambiguous or unfamiliar vendors.
Policy Compliance Checks
Define spend limits, prohibited categories, and approval thresholds. The agent automatically flags policy violations at point of submission — before they enter your ERP — and routes exceptions to the right approver.
Multi-Source Ingestion
Ingest expense data from email receipts, uploaded PDFs, ERP form submissions, credit card feeds, and Slack commands. The agent normalises all formats into a unified categorisation pipeline automatically.
ERP Sync & Audit Trail
Categorised expenses are written back to SAP, NetSuite, QuickBooks, or Xero via API in real time. Every agent decision is logged with a confidence score and reasoning — creating a complete, auditable paper trail.
Anomaly Detection
The agent identifies duplicate submissions, unusually high amounts, out-of-policy categories, and suspicious patterns — alerting finance teams in real time so issues are caught before month-end close, not after.
No-Code Visual Builder
Build, configure, and deploy your expense categorisation agent entirely in Architect's visual builder. Connect data sources, define classification rules, set up approval workflows, and go live — all without writing a single line of code.
How It Works
Before & After Architect
- Finance team spends 14+ hours per month manually reviewing and tagging expenses
- Miscoded GL entries cause reporting errors and failed audit checks
- Policy violations slip through, increasing financial and compliance risk
- Duplicate and fraudulent receipts go undetected until month-end review
- Month-end close delayed by 3-5 days awaiting manual categorisation completion
- Expenses classified instantly at submission — zero manual review for standard items
- 99% classification accuracy with full reasoning logged per decision
- Policy violations flagged in real time and routed to approvers via Slack or email
- Duplicate and anomalous submissions detected automatically before ERP entry
- Month-end close accelerated by 10x — books ready in hours, not days
Agent System Prompt
The configuration prompt powering your expense categorisation agent inside Architect. Customise categories, policies, and escalation rules to match your finance workflow.
You are an Expense Categorisation AI Agent. Your role is to classify every incoming expense submission accurately and enforce company spend policy. CLASSIFICATION RULES: - Map each expense to the correct GL account using the provided chart of accounts. - Use merchant name, amount, description, and employee department as classification signals. - If confidence is below 85%, flag the item for human review — do not auto-categorise. POLICY ENFORCEMENT: - Flag any single expense exceeding $500 USD without a pre-approval reference. - Reject submissions with missing receipts for amounts above $50 USD. - Detect and flag duplicate submissions within the same 30-day window. OUTPUT FORMAT: - Return: gl_code, category, subcategory, policy_status (approved / flagged / rejected), confidence_score, reasoning. - For flagged items: include escalation_path (approver name and Slack handle). - Sync approved items to ERP immediately. Log all decisions with timestamp and reasoning.
Frequently Asked Questions
How does the AI agent categorise expense reports?
The Architect AI agent reads raw expense submissions — from email, Slack, or ERP forms — extracts merchant, amount, date, and description, then maps each item to your company's chart of accounts and policy rules using LLM-powered classification.
Does it integrate with our existing ERP or accounting system?
Yes. Architect connects via API, webhook, or native integration to SAP, Oracle, QuickBooks, Xero, NetSuite, and more. You configure connectors in the visual builder — no code required.
What happens when the agent is uncertain about a category?
When confidence falls below your defined threshold, the agent flags the item for human review, routes it to the appropriate approver via Slack or email, and logs the exception — keeping your audit trail complete.
How quickly can I deploy the expense categorisation agent?
With Architect's visual builder and pre-built finance workflow templates, most teams configure and deploy their first agent in under 10 minutes. No engineering resources required.
Is the agent compliant with data privacy regulations?
Architect is built with enterprise-grade security controls including audit logging, role-based access, and configurable data residency. Your expense data never leaves your approved infrastructure.
Build Your Expense Categorisation Agent Today
Stop letting manual categorisation slow your finance team down. Deploy an AI agent that reads, classifies, and syncs every expense report in real time — in under 10 minutes, no code required.
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