April 14, 2026
Verituity Founder and CEO Ben Turner recently sat down with Quinn Donoghue of FinAI News to discuss how artificial intelligence is reshaping enterprise payments and helping organizations address rising fraud and inefficiencies across B2B and B2C disbursements.
In the interview, Ben outlined how Verituity is leveraging AI to improve payment precision, with clients seeing a significant reduction in fraud and errors and efficiency gains through reduced manual verification and streamlined processes. These improvements come at a critical time, as businesses face growing financial exposure tied to fraud, with recent data showing U.S. companies lost nearly 10% of annual revenue to fraud in 2025.
A central theme of the discussion was the challenge of incomplete or inconsistent data in enterprise payments. Ben emphasized that one of the most persistent issues is the lack of reliable information around account ownership and status. These are gaps that traditional validation methods often cannot address. AI plays a key role in solving this by analyzing multiple data points and generating probabilistic insights where definitive answers are not always available.
The conversation also explored how Verituity applies AI across the full payment lifecycle. By tracing transactions from initiation through settlement and analyzing every step along the way, organizations can gain greater visibility into payment flows and quickly identify where errors or risks emerge. This end-to-end perspective allows enterprises to move beyond isolated checks and toward a more comprehensive understanding of payment activity.
At the same time, Ben noted that AI is a double-edged sword. While it enhances detection and efficiency, it also enables fraudsters to evolve their tactics more rapidly. As a result, organizations must take a balanced approach, combining AI, machine learning, and human oversight to effectively manage risk.
Read the full article in FinAI News (subscription required).