Receipt Capture & Data Extraction
Extracts vendor, amount, date, tax, and line items from photos, PDFs, and email receipts using multimodal AI.
From intelligent receipt extraction to real-time policy enforcement, fraud detection, and spend analytics.
Extracts vendor, amount, date, tax, and line items from photos, PDFs, and email receipts using multimodal AI.
Validates every expense line against per-diem limits, meal caps, hotel thresholds, mileage rates, and category spend limits.
ML models flag duplicate receipts, round-number anomalies, fictitious vendors, and personal expense misclassification.
Dynamic approval chains built at runtime based on amount, risk score, category, and submitter authority level.
Native connectors for SAP Concur, Oracle Expense, Workday, Expensify, Navan, and Coupa with bi-directional sync.
Real-time dashboard: violation rates by category, department, and submitter — with top out-of-policy spenders and bottleneck analysis.
From intelligent receipt extraction to real-time policy enforcement, fraud detection, and spend analytics.
Extracts vendor, amount, date, tax, and line items from photos, PDFs, and email receipts using multimodal AI.
Validates every expense line against per-diem limits, meal caps, hotel thresholds, mileage rates, and category spend limits.
ML models flag duplicate receipts, round-number anomalies, fictitious vendors, and personal expense misclassification.
Dynamic approval chains built at runtime based on amount, risk score, category, and submitter authority level.
Native connectors for SAP Concur, Oracle Expense, Workday, Expensify, Navan, and Coupa with bi-directional sync.
Real-time dashboard: violation rates by category, department, and submitter — with top out-of-policy spenders and bottleneck analysis.
That's $320K a year in processing labour. The agent cuts it to under $3 per report.
Get T&E Assessment
Finance teams manually review just 5–15% of submissions — the AI agent applies full policy validation and fraud scoring to every single one.
70–80% of reports are fully compliant yet still queue for manual review. The agent auto-approves them, freeing finance analysts for exceptions that actually need human judgment.
Most T&E fraud is caught weeks after reimbursement, when evidence has degraded. The agent enforces policy at submission — before any payment is issued.
Certified connectors for leading expense platforms, corporate card programmes, and ERP systems.
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Everything finance leaders, internal audit teams, and CFOs need to know about deploying an AI Expense Policy Compliance Agent at enterprise scale.
Contact Our TeamIt validates every expense submission against your T&E policy in real time. Compliant reports auto-approve; only exceptions reach approvers.
ML layers catch altered or reused receipts, duplicates, just-below-threshold patterns, and risky vendors. High-risk flags route to compliance review.
Native connectors for SAP Concur, Oracle Expense, Workday, Expensify, Navan, and Coupa, with ERP write-back to S/4HANA, NetSuite, and Oracle Fusion.
Per-diem limits, hotel caps, mileage rates, vendor rules, and booking approvals — any T&E rule, maintained by finance in a no-code interface.
The agent chases the submitter for receipts above your threshold. If none arrives in the SLA window, the item is flagged for manager approval.
Yes — it runs as a compliance and fraud layer on top of SAP Concur, Oracle Expense, or Workday. Employees keep the interface they already use.
5–8 weeks: integration, policy ingestion, and parallel-run validation first, then a phased go-live starting with the highest-risk cost centres.
Processing drops from $26.63 to under $3 per report — roughly $300K a year at 500 employees, with payback in 3–5 months.
Standard expense report software routes reports for manual review. This expense management software audits every line automatically — 100% coverage, not 5–15% sampling.
Yes — it works as travel and expense software, either layered over existing T&E platforms or standalone with full ERP write-back.