Receipt Capture & Intelligent 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 — these six capability pillars are deployed in production across enterprise finance and procurement teams.
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 — these six capability pillars are deployed in production across enterprise finance and procurement teams.
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.
500 employees submitting two reports per month — that's $320K per year in processing labour alone, before fraud losses and out-of-policy reimbursements. The agent cuts cost to under $3 per report with 100% audit coverage and straight-through approval for compliant submissions.
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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 — enforcing policy across every submission channel.
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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 TeamAn AI Expense Policy Compliance Agent validates every employee expense submission against your T&E policies in real time — per-diem limits, meal caps, hotel thresholds, vendor rules, and pre-approvals.
The agent runs several ML fraud layers at once: image analysis for altered, reused, or suspicious-metadata receipts; duplicate detection across the submitter's history and concurrent claims; behavioural anomaly detection for odd timing and just-below-threshold amounts; and vendor risk checks against fraudulent-merchant and related-party registers.
Certified native connectors for SAP Concur, Oracle Expense, Workday Expenses, Expensify, Navan/TripActions, and Coupa. For ERP write-back of validated journals, GL coding, and cost centre allocations, we connect to SAP S/4HANA, Oracle Fusion Financials, NetSuite, and Workday Financials.
The agent enforces virtually any T&E rule expressible as conditional logic: per-diem limits by city tier, hotel caps by market, mileage rates, ride-share vs.
Receipts are required above your configured threshold (typically $25). When one is missing, the agent sends the submitter a specific request naming the line item and deadline; they can respond via mobile app, email, or direct upload.
Yes — the agent augments your existing platform rather than replacing it. For SAP Concur, Oracle Expense, or Workday, it runs as a compliance and fraud detection layer on submissions entering your current workflow.
A standard implementation takes 5–8 weeks. Weeks 1–2 cover platform integration, T&E policy ingestion, and receipt-extraction calibration on historical receipts.
Manual processing costs $26.63 per report ($58 when out-of-policy); AI automation runs under $3 — an 85–90% cut. For 500 employees filing two reports monthly, that's $285K–$335K in annual labour savings alone.
Standard expense report software captures receipts and routes reports for manual review. Bonami's expense management software is built around an autonomous compliance agent that validates every line against your T&E policy, scores fraud risk, and auto-approves compliant reports.
Yes, it works as travel and expense software enforcing per-diem limits, hotel caps, mileage rates, and vendor rules on every submission.