A mid-size real estate developer managed employee expense reporting through a manual process: employees submitted photos of receipts via channel of communication to an accounting coordinator, who then cross-referenced each receipt against vendor invoices, categorized expenses by project, reconciled discrepancies, and compiled monthly reports in spreadsheets.
The process consumed approximately 40 hours per month of dedicated accounting labor, was error-prone, and consistently delayed month-end reporting by 5–7 business days.
Junto AI deployed an intelligent expense operations agent accessible through the channel of communication — the channel employees already used to submit receipts. The system works as follows:
- Employees send photos of receipts or invoices directly to the agent via channel of communication.
- The agent extracts key data (vendor, amount, date, category, project code) using document understanding and OCR.
- Each employee-submitted invoice is automatically matched against the corresponding vendor invoice in the company’s records.
- Discrepancies (amount mismatches, missing receipts, duplicate submissions) are flagged automatically and routed to the accounting team for review.
- Monthly expense reports are generated automatically and displayed in a comprehensive dashboard accessible to the accounting team.
- The dashboard provides real-time visibility into expense status by project, vendor, employee, and category — eliminating the wait for month-end compilation.
ANNUAL SAVINGS — SINGLE PROCESS$30,000+
- $30,000+ in annual savings from a single process — equivalent to the cost of 1.5–2 full-time accounting clerks previously dedicated to manual reconciliation.
- Monthly reporting delivered in real-time via dashboard instead of 5–7 day delays.
- Error rate on expense categorization reduced from an estimated 12–15% (manual) to under 2% (automated with human review on flagged items).
- Zero change in employee behavior required — they continue sending receipts via channel of communication exactly as before.