AI-powered expense management. Submit expenses by text or photo. Automatic policy enforcement and fraud detection — no forms, no 9-day processing waits.
AI-powered submission · 3 entries today
Data from ACFE, SAP Concur's own research, SutiSoft, and public industry reports.
Average expense report costs $58 to process manually[29]
AI processes expenses from text or photo — no forms, no manual entry
1 in 5 expense reports (19%) contains errors, costing $52 extra to correct each[29]
AI extraction reduces error rates from 19% to under 3%
Instant submission, instant policy check, same-day processing
75% of businesses say manual expense tracking increases fraud risk[30]
AI-powered fraud detection catches duplicates and anomalies automatically
Real-time policy enforcement — violations flagged at submission, not 18 months later
24% of business travelers say filing expenses is more stressful than a dental filling[36]
Text "lunch with client $47" — done. No receipt forms, no 12-field templates
Every feature below is included. No per-user expense add-on, no implementation project.
Type or speak your expenses in plain language. "Lunch with client, $47.50" becomes a fully categorized, policy-checked expense entry. No forms, no dropdowns, no 12-field templates.
Snap a receipt and the AI extracts merchant, amount, date, tax, and line items automatically. Supports crumpled receipts, faded thermal paper, and multi-language documents.
Automatic compliance checking at the moment of submission. Per-diem limits, category restrictions, and approval workflows enforced by the system — not by a manager reviewing spreadsheets a week later.
AI identifies duplicate submissions, suspicious patterns, and policy violations in real time. The median expense fraud case costs $50,000 and takes 18 months to detect manually — this catches it at submission.
Data flows automatically between apps on the Single Data Backbone. No sync jobs, no middleware, no manual re-entry.
Drop your email and we'll show you how QuickExpense eliminates forms, catches fraud, and posts to ERP automatically — and how every AI decision stays under human control.
The fraud-detection and policy-enforcement claims are anchored to the ACFE Report to the Nations and the COSO internal-control framework. The AI-with-human-control posture is anchored to the NIST AI Risk Management Framework and the OECD AI Principles. Per-app industry citations (response time, processing cost, etc.) appear in the “What independent research says” section above.
National Institute of Standards and Technology (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). NIST AI 100-1.
US voluntary standard for managing AI risk — anchors the "AI with human control" claim with a recognised governance framework.
Read sourceOECD (2019, updated 2024). Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449.
International AI principles adopted by 47+ countries; backs accountability and transparency claims.
Read sourceAssociation of Certified Fraud Examiners (2024). Occupational Fraud 2024: A Report to the Nations.
ACFE biennial study; widely-cited 5% of revenue lost to fraud and expense-reimbursement scheme statistics.
Read sourceCommittee of Sponsoring Organizations of the Treadway Commission (2013). Internal Control — Integrated Framework.
The COSO internal control framework — references for control-design and SOX compliance arguments.
Read sourceComplete financial operations: GL, AP/AR, financial reporting, multi-entity, multi-currency.
Customer relationships, sales pipeline, and revenue recognition on the Single Data Backbone.
Project management with Shape Up methodology, resource tracking, and project financials wired directly to ERP.