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Fintech & payments

Agentic AI in fintech and payments

Payments is where agentic AI stops being copy and starts being liability. Someone has to authorize, scheme-qualify, and unwind the transaction.

Service agents versus spending agents

Klarna’s support agent is the textbook production case: 2.3 million conversations in a month, 11 minutes to two, refunds and plan changes inside the ticket. It is also the textbook second-year case: automation of the simple errands, then a reinvestment in human service as the premium path. Read both years.

Spending agents are a different product. Mastercard’s Agent Suite, Agent Pay, and the 9 September 2026 Agent Connect launch are an attempt to standardize discovery → confirmation → consumer-authorized payment so a merchant does not have to rebuild for every model vendor. Klarna’s Agentic Product Protocol is the catalog side of the same problem: 100 million+ products, 400 million prices, 12 markets.

Network rails, not bank apps

Visa’s embeddable assistant is a network product sitting inside issuer apps. Coinbase’s Payments MCP (September 2025) is a tool server for stablecoin movements. Both are “agentic payments” and neither looks like a retail chatbot.

Open Banking Tracker (May 2026) also flags autonomous payment execution and on-chain stablecoin payments as near-term. Near-term is not the same as a named production volume. We log the primitive and wait for the volume.

What a serious payments agent must log

Payer identity, mandate, amount, merchant, MCC, scheme, authorization timestamp, model/prompt version, and the human who can reverse it. If that trail is not queryable, the agent is not a payments system. It is a demo with a card number.