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Detect Hidden Fraud with Proven Analytics

How a Fortune 100 company operating in 190 countries uncovered ~$75 million in potential cost recovery hidden in split purchase orders — and a look inside konaAI’s agentic AI platform for bribery, corruption, and risk detection. 
  • Hosted by Tom Fox
  • Featuring Vincent Walden, CEO, konaAI

The $75 Million Split: Uncovering Price Variance Fraud in Purchase Orders

  • The Setup: A Fortune 100 company operating in 190 countries partnered with konaAI to process and review 24 months of SAP Source-to-Pay data across 400+ vendors.
  • The Scheme: PO requestors split purchase orders for the same material and plant across vendors at varying prices within 3-day windows, bypassing delegation-of-authority thresholds and vendor share-of-business limits.
  • The Result: ~$75M in potential cost recovery identified, with price variances of 25–45% in raw materials, ~14,000% in packaging materials, and ~92,000% in chemicals.
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“The algorithms that we use can be run on any data for any company to detect fraud, risk, or corruption”
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Agentic AI that Looks Beyond Detecting Bribery, Corruption, and Fraud Risk

  • Coverage: Machine learning tests run across every P2P, T&E expenses, and O2C transaction, fully mapped to your ERP systems.
  • Agentic AI: Purpose-built agents now handle document classification and screening, contract compliance, PO alignment, segregation of duties, culture pulse and more, each reachable through a digital assistant that you can just ask.
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“We look at the breadth of compliance to see where AI and data analytics can be of real use to professionals in the industry”