Episode
Ken Moore, Mastercard Chief Innovation Officer, on the Blueprint for Agentic Commerce: Trust, Tokens & “Know Your Agent”
- Published
- Jan 29, 2026
- Duration seconds
- 2950
- Processing state
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- https://share.transistor.fm/s/973fbd8c
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Summary
In this episode of Retailgentic, Scot and Ken map out how Mastercard saw agentic commerce coming early, and what they built in 2025 to prepare the ecosystem, especially around trust, identity, consent, and tokenization. We dig into: How Mastercard Foundry takes ideas from experiments → production-grade products → global scale “Know Your Agent”: registering legitimate agents (agentic equivalent of KYC/KYB) to reduce malicious bot risk “Order Intent”: adding richer context so that with consent, agents/merchants can fulfill the right order (not just process a payment) Why consumer consent is non-negotiable (passkeys/biometrics + tokenized credentials) Mastercard Insight Tokens: a secure and governed way for agents to access and apply permissioned insights from Mastercard, which will enable consumers to receive, with their consent, more personalized and useful experiences Agentic Toolkit and why Mastercard leaned into services to support customers move from strategy → execution fast Mastercard’s Agent Pay Acceptance Framework: helps merchants to transact with trusted agents with a minimal lift Standards: why Mastercard will support ACP + AP2 and expects interoperability (or convergence) over time Agentic commerce won’t be won by whoever moves fastest, it’ll be won by whoever earns trust at scale. Key timestamps 05:14 — Ken’s background: technologist, global banking work, startups, Accenture, Citi → Mastercard Foundry 07:44 — How Foundry works: experiment, build, then “graduate” products into core teams 10:32 — The pace-of-change thesis: why organizations must be built to adapt continuously 13:07 — How Mastercard saw agentic commerce early (signal-spotting in 2024) 14:23 — The 3 converging forces: AI reasoning, compute, and foundations (tokens/passkeys/consent) 19:01 — Agen…