A single, immutable system of record. Live balance, live state, one auditable source of truth across markets. AI needs current data. Batch-updated ledgers give it yesterday's picture.
AI agents are starting to pay on behalf of cardholders. Thredd is building the issuing infrastructure that keeps issuers in control.
Our factsheet sets out how an agentic payment works from start to finish, what issuers need to control at each step, and the capabilities Thredd brings into the issuer processing environment to support it.
Download the factsheet
AI agents are moving from helping people shop to acting on their behalf. Today, most agentic commerce keeps the cardholder in the loop, with the customer giving permission and authenticating the payment, and over time agents will gain more autonomy within rules the customer sets.
For issuers, that changes the trust question. Instead of only asking whether this is the real customer, they now need to ask whether this is the right agent, acting for the right cardholder, within the authority it was given.
See below for what issuers need to answer before an agent initiates a transaction.
Identify the customer who owns each purchase decision
Confirm the agent is legitimate before it can pay
Hold trustworthy evidence of the customer's delegation
Set limits on amount, merchant, geography, and timing
Check every purchase against the customer's mandate
Make each decision within milliseconds of the transaction
Act at the point of transaction, before settlement
Treat an agent's velocity and timing in context
Check behaviour against what the customer authorised
When I think about where the value of programmable payments sits, it isn't necessarily with who mints the coins or writes the standards. It's with who pulls it all together at the point of transaction."
Real-time models analyse transaction patterns and flag anomalies within the deterministic guardrails each programme has configured. Designed to reduce false positives while protecting approval rates. No black boxes. No overrides.
AI-informed risk assessment at the point of authorisation — faster, more accurate credit decisions within rules the client sets. AI augments the decision. It doesn't replace it.
AI-assisted development is improving code quality and shortening delivery cycles. What that means for you: safer releases and faster time-to-value for new features, scheme changes, and controls.
A single, immutable system of record. Live balance, live state, one auditable source of truth across markets. AI needs current data. Batch-updated ledgers give it yesterday's picture.
Every transaction is an event that can be scored, acted on, and explained. AI plugs in at defined decision points without disrupting programme logic.
Decision points where your rules and models plug in. Configure per programme. Introduce AI incrementally where it adds value.
Every decision is traceable, auditable, and defensible — built in from the architecture up, not bolted on for compliance.
Mastercard and Visa are both building systems where software agents discover, negotiate, and pay on behalf of consumers and businesses.
These agents don't swipe cards. They use tokens, dynamic credentials, and programmable instruments.
75m+ wallet tokens generated to date. Native support for agent-led patterns including Visa Trusted Agent Protocol and equivalent Mastercard constructs.
First to market with Mastercard Dynamic Interchange and Visa Cloud Connect. Agent-initiated instruments connect to the same event-driven pipeline that processes today's card transactions.
Every agent is a first-class participant with its own limits, controls, velocity checks, and audit trail. Agents generate intents that must pass your controls and our ledger. They cannot move money directly.
Whether you are launching your first card programme or scaling across markets, talk to our team about how the platform is built for where payments are heading.