SAP Concur's guide highlights the strategic role of accounts payable (AP) in spend management for 2026. It offers five recommendations: remove manual friction, use invoice data for visibility, connect AP to total spend, build in risk and compliance, and design scalable processes. Citing Ardent Partners, best-in-class AP teams process invoices in 3.1 days at 80% lower cost.
This SAP Concur blog post stresses that while pursuing growth, companies must adhere to expense policies and regulations. Compliance is not a necessary evil but essential to protect against overspending, fraud, and fines. It recommends using automation for real-time reviews, intelligent flagging, and analytics to build a culture of compliance, making compliant spending easier than non-compliant.
A SAP Concur blog post cites ACFE President Bruce Dorris: the COVID-19 pandemic and resulting economic instability will not only increase levels of fraud but also lead to more discoveries of existing fraud. The post recommends organizations bolster internal controls to mitigate fraud, focusing on detecting and preventing fraud in expense, invoice, and other employee spend areas, and references the ACFE 2022 Report to the Nations on Occupational Fraud and Abuse.
The article offers seven tips for controlling company credit card use: set expectations, limit liabilities, monitor spend, require receipts, set alerts, approve and control, and consider digitizing expenses. It emphasizes that automating expense processes provides real-time visibility and reduces misuse.
A SAP Concur blog post cites the ACFE's 2018 global report on occupational fraud and abuse: total occupational fraud losses reached $7 billion, with median reported fraud losses of $153,000 for insurance and $110,000 for financial services. The most common schemes in banking and finance were corruption (36%) and cash on hand (23), while insurance saw more corruption (45%) and billing (20%). The report found organizations with internal anti-fraud controls had lower fraud instances, and those proactive with data monitoring and analysis saw 52% lower losses and 58% faster detection.