{"id":127746,"date":"2026-08-03T08:26:13","date_gmt":"2026-08-03T08:26:13","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/127746\/"},"modified":"2026-08-03T08:26:13","modified_gmt":"2026-08-03T08:26:13","slug":"boost-ceo-transaction-data-is-b2b-payments-ai-superpower","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/127746\/","title":{"rendered":"Boost CEO: Transaction Data Is B2B Payments\u2019 AI Superpower"},"content":{"rendered":"

As PYMNTS<\/a> CEO Karen Webster<\/a> told a podcast audience for last year\u2019s B2B<\/a> event, nothing is boring about B2B payments<\/a> anymore. That\u2019s what makes the application of artificial intelligence<\/a> across them so exciting.<\/p>\n

\u201cThis is different,\u201d Boost Payment Solutions<\/a> Founder and CEO Dean M. Leavitt<\/a> told PYMNTS in a conversation with Webster, distinguishing AI from earlier payments hype cycles. \u201cAI goes beyond payments. It will ultimately be completely embedded in payments, and payments will be embedded in it.\u201d<\/p>\n

Enterprise payments are dense packages of money, data<\/a> and commercial obligations. A single transaction can represent thousands of invoices, each containing line-item details, account identifiers and buyer-supplier terms that must be reconciled precisely. This complexity makes B2B payments unusually well suited to AI, but also unusually unforgiving of its mistakes.<\/p>\n

\u201cIn B2B and enterprise-level B2B, it\u2019s this combination of two worlds,\u201d Leavitt said. \u201cIt\u2019s moving money and moving data.\u201d<\/p>\n

The data is often mission-critical because large payments may contain hundreds or thousands of invoices, each with extensive supporting detail, he said.<\/p>\n

Everyone Thinks AI Will Change Payments. They\u2019re Looking at the Wrong Layer.<\/p>\n

Financial institutions and payments networks have spent decades building reliable infrastructure for moving money. The more persistent B2B friction sits in the surrounding data exchange and operational workflow.<\/p>\n

The technology\u2019s significance is that it can change the workflow rather than simply improve one feature within it, Webster said. Enterprise relationships are often governed by bespoke agreements covering payment timing, card acceptance, transaction limits, fees and working capital preferences. Historically, many intermediaries have lacked the ability to encode and enforce those terms dynamically.<\/p>\n

AI can help organize that information, convert it into different formats and present it according to each stakeholder\u2019s requirements.<\/p>\n

That makes it potentially more transformative in reconciliation, exception handling and process automation than in the underlying movement of money. A faster payment still leaves companies with the burden of matching invoices, applying agreed terms and determining whether the transaction complies with internal policies and external regulations. AI offers a way to compress those steps into a more intelligent execution layer.<\/p>\n

For its part, Boost is using AI to expand the number of rules it can support and enforce on behalf of buyers and suppliers. The goal is to automate approvals and adjudicate complex transaction conditions in real time.<\/p>\n

\u201cWhat we\u2019re now able to do is reflect the nature of the commercial relationship in the payment itself,\u201d Leavitt said.<\/p>\n

Payments have historically been treated as \u201ca last-minute afterthought\u201d but are becoming a strategic tool for the office of the chief financial officer, he said.<\/p>\n

Agents Will Execute B2B Transactions Before They Negotiate Them<\/p>\n

That doesn\u2019t mean autonomous agents are ready to replace human relationships. Humans will still be needed to establish relationships, ask questions and determine which rules make commercial sense. AI can then facilitate and enforce the decisions those people make.<\/p>\n

\u201cThe role of the agent is less so on the negotiation than it is on the implementation,\u201d Leavitt said, adding that while agents can execute \u201cbetter, faster, presumably cheaper and more scalable\u201d than humans, the technology remains in its early stages.<\/p>\n

Agents are likely to gain authority first in bounded workflows where the rules are explicit and outcomes can be verified. They may approve invoices, route payments, identify exceptions and apply contractual conditions before they independently renegotiate strategic supplier relationships.<\/p>\n

That\u2019s why, as AI tools become more widely available, the competitive advantage will come from the data used to train, guide and verify them.<\/p>\n

\u201cThose entities that have that data, have the experiential data from years of transactions, years of boarding relationships between buyers and suppliers, they\u2019re ultimately going to be the winners,\u201d Leavitt said.<\/p>\n

Coupling proprietary data with AI can create \u201ca superpower,\u201d he said.<\/p>\n

AI is often described as a force that removes middlemen. In B2B payments, however, the most valuable intermediaries may survive by turning their accumulated data, domain expertise and buyer-supplier relationships into a smarter operating layer. Generic models can process invoices or generate recommendations. They cannot easily replicate years of experiential data about how buyers and suppliers transact, which rules work, where disputes emerge and how exceptions are resolved.<\/p>\n

The constraint is trust.<\/p>\n

A commercial payment platform must reconcile every invoice, apply every rule and \u201ctick and tie everything to the penny every single time,\u201d Leavitt said.<\/p>\n

That\u2019s why Boost is using multiple agents in some workflows, with one checking the work of another, alongside human review. The approach reflects a broader reality. AI adoption in finance is unlikely to be a clean handoff from people to machines. It will be a layered system of models, controls and human verification.<\/p>\n

\u201cEngage it, learn as much as you can about it,\u201d Leavitt said. \u201cCertainly, don\u2019t ignore it, but don\u2019t just blindly trust it.\u201d<\/p>\n

Watch PYMNTS CEO Karen Webster\u2019s full conversation<\/a> with Boost Payment Solutions CEO Dean Leavitt to hear more about:<\/p>\n

Why AI\u2019s biggest B2B payments opportunity isn\u2019t moving money. Leavitt said payment infrastructure is already mature. The real breakthrough is using AI to organize invoice data, enforce buyer-supplier rules and automate the workflows surrounding enterprise transactions.
\nHow proprietary transaction data is becoming the industry\u2019s most valuable AI asset. Generic models are increasingly commoditized, but years of buyer-supplier relationships, payment history and commercial rules create the data advantage that will separate future winners from followers.
\nWhy enterprise AI will augment, not replace, finance teams for years to come. AI agents can execute payment rules faster and at greater scale, but CFOs still need human oversight because enterprise payments demand precision, trust and verification rather than blind automation.<\/p>\n

For all PYMNTS B2B and AI coverage, subscribe to the daily B2B and AI Newsletters<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"As PYMNTS CEO Karen Webster told a podcast audience for last year\u2019s B2B event, nothing is boring about…\n","protected":false},"author":2,"featured_media":127747,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,307,308,62470,203,429,66,310,2453,2454],"class_list":["post-127746","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-b2b","tag-b2b-payments","tag-boost-payment-solutions","tag-data","tag-main-feature","tag-news","tag-pymnts-news","tag-pymnts-tv","tag-video"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/127746","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=127746"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/127746\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/127747"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=127746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=127746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=127746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}