AI Today Podcast #34: Interview with Anant Kale, AppZen — Preventing Employee Expense Fraud with AI

Occupational fraud is not a small issue. On average, a company loses 5% of its revenues to employee financial fraud each year, with the annual median loss at $140,000 and over 20% of companies reporting losses of $1 million or more. The key to keeping a lid on this fraud is identifying the fraud before …

Read moreAI Today Podcast #34: Interview with Anant Kale, AppZen — Preventing Employee Expense Fraud with AI

AppZen Briefing Note [CGBN102]

AppZen is pioneering the use of artificial intelligence to help enterprises and public sector agencies automate fraud detection and expense report auditing. Their machine-learning and data science technology is applied to customer financial transaction data to analyze credit card transactions, receipts, submitted expense reports, and invoices, against patterns AppZen has generated for various industries and …

Read moreAppZen Briefing Note [CGBN102]

AppZen Briefing Note

Document ID: CGBN102 Abstract AppZen is pioneering the use of artificial intelligence to help enterprises and public sector agencies automate fraud detection and expense report auditing. Their machine-learning and data science technology is applied to customer financial transaction data to analyze credit card transactions, receipts, submitted expense reports, and invoices, against patterns AppZen has generated …

Read moreAppZen Briefing Note