From the Enterprise Ethereum Alliance (EEA) office
HAS Agentic Finance Summit co-hosted by AEE and Microsoft during New York Tech Week, industry pioneers came together to map the technical requirements of an entirely new economic engine.
The overarching theme was absolute: As autonomous software agents move from conversational interfaces to true economic actors, businesses need open, trust-minimizing on-chain standards to settle high-speed automatic payments at scale.
The rise of automatic payments and microtransactions
The summit highlighted that the growth of artificial intelligence has fundamentally changed the structural data requirements of corporate payment networks. Traditional enterprise transactional architectures, designed around human authorization loops, graphical user interfaces, and credit card frameworks, are poorly optimized for automated software agents.
Data presented in the session highlights a major turning point in machine-to-machine trading: sub-dollar transactions and automated micro-payments are experiencing explosive expansion. Software agents do not transact like human consumers; they interact through programmatic calls, purchase targeted API access, and require real-time execution.
“That’s something we’re seeing in our data as well, this automatic payment protocol, these sub-dollar transactions, they’re exploding.” — Viraj Gupta, Stripe
To meet this operational shift, companies must deploy programmatic infrastructure designed specifically for autonomous execution. Alfonso Gomez-Jordana Mañas noted that Crossmint focuses its programmatic economics stack precisely here, ranging from stablecoin issuance pipelines to dedicated agent payment layers. For back-office business accounting, these high-frequency, granular charges require a trust-minimizing base layer that can provide deterministic, instant finality.
Infrastructure standards: creating value rather than capturing value
As programmatic commerce evolves, several competing data frameworks are emerging, ranging from conversational commerce schemas (such as ACB and UCP) that represent payment flows to Automatic Payment Protocol (MPP). The panel opposed premature fragmentation of the framework, noting that sustainable enterprise adoption requires lightweight, open architectures rather than complex, proprietary vendor specifications.
Kevin Leffew contextualized the role of standardization by following historical precedents in web infrastructure:
“If we look at the history of standards on the web, good standards don’t capture value. They create value. They’re simple, they’re lightweight… Trust-minimising standards have won time and time again. We can see that with HTTP.” — Kevin Leffew, Coinbase
The consensus among contributors was that complex specifications should take a back seat. While conversational standards excel at routing retail payments through existing credit systems, digitally native services require programmatic infrastructure that executes seamlessly. This ensures that businesses can deploy autonomous agents that can locate, verify, and transact across borderless networks without vendor lock-in.
Overcoming information asymmetry and disruption
The transition to a machine-driven economy introduces structural frictions for legacy software-as-a-service (SaaS) and retail architectures. Historically, company margins are often the direct result of information asymmetry: they depend on consumers who lack real-time market knowledge or are simply too slow to find optimized offers.
Autonomous agents completely eliminate this friction. They optimize for the lowest base prices, instantly analyze market structures and can systematically opt out of inefficient software contracts. Kevin Leffew noted that agents inherently break these traditional top-down business models through perfectly rational economic decision-making.
Sam Ragsdale delivered a stark assessment of how quickly this structural change will impact existing operations:
“I think the most exciting future here is what we call open agentic commerce, which…I think it will be very brutal and very painful…Agents break a lot of these models. Agents make it very easy to unsubscribe. They make it very easy to find the lowest bid for merchandise.” — Sam Ragsdale, merit systems
While digital-native services see immediate growth through direct user experience optimization, physical e-commerce will likely evolve into a hybrid model. Large centralized marketplaces will continue to coexist with autonomous enterprise environments. Bridging the gap between today’s dominant closed-loop systems and an open agentic marketplace requires interoperable infrastructure that natively connects enterprise data pipelines to public on-chain settlement rails.
Key takeaways
- Machine capital architect: Prepare internal enterprise payment architectures to ingest and settle high-speed, sub-dollar automated transactions, moving beyond human-controlled credit card loops.
- Prioritize lightweight open standards: Evaluate emerging agent commerce protocols based on their simplicity and trust minimization to avoid enterprise vendor lock-in.
- Examine the defensibility of the margin: Recognize that autonomous agents remove information asymmetry in the market, making real-time price optimization and operational transparency essential to protecting revenue.
- Prepare for a brutal SaaS disruption: Evolve legacy software subscription and distribution channels to open, interoperable on-chain environments to protect against sudden automated market rebalancing.
