Transaction Data Powers the Next Wave of AI Innovation in B2B Payments
The application of artificial intelligence (AI) across business-to-business (B2B) payments represents a significant shift, moving beyond hype cycles to become deeply embedded in how companies manage their financial operations. Dean M. Leavitt, founder and CEO of Boost Payment Solutions, explains that while payments infrastructure has evolved over decades, the real transformation lies in leveraging transaction data as an AI superpower.
The Untapped Potential of B2B Payments Data
Unlike consumer transactions, B2B payments carry rich datasets—think multiple invoices per payment, detailed line items, contractual terms, and complex reconciliation requirements. This complexity makes B2B uniquely suited for AI applications that go beyond simple feature enhancements.
“In B2B, it’s about moving both money and data,” Leavitt notes. “That data often contains mission-critical information that supports large payment transactions.” For example, a single payment might include hundreds of invoices with extensive details that need precise matching and validation.
From Payments to Strategic Financial Tools
As CFOs increasingly view payments as strategic assets rather than mere operational expenses, AI offers the ability to encode commercial relationships directly into the payment process. This means:
- Dynamically applying contractual terms in real time
- Automating approvals and exception handling
- Enforcing complex transaction conditions across diverse systems
- Providing stakeholders with tailored views of payment information
The Data Advantage
While generic AI models can process invoices or generate basic recommendations, the true differentiator lies in proprietary transaction data—the historical record of how buyers and suppliers actually transact. This includes patterns, dispute resolution processes, and contextual knowledge that builds trust over time.
“Entities with access to this experiential data will ultimately be the winners,” Leavitt predicts. By combining domain expertise with AI, companies can create payment solutions that anticipate needs, prevent errors, and optimize working capital for all parties involved.
Boost Payment Solutions is already using this approach to expand its rule-based payment capabilities, enabling real-time adjudication of complex transaction conditions and greater automation across the procure-to-pay lifecycle.