What is Amex's Intent Intelligence Framework?

Short answer: Intent Intelligence is the framework American Express published on October 13, 2026 to stop AI agents making purchases the customer never approved: capture the customer's purchase intent and authenticate it before the agent buys, carry it through the transaction as an Intent ID and a Proof of Intent Token, and scope the payment credential to exactly that intent — so a purchase that does not match what was approved can be stopped at authorization, not disputed after it.

What it does not do is judge the purchase. It checks a transaction against structured constraints the customer signed off on; it never scores whether the agent's choice inside those constraints was wise — and it faithfully enforces an intent that was captured wrong in the first place. ScriptMasterLabs' live gate scored that gap this morning (receipts below).

The receipts, dated

DateReceipt
October 13, 2026, 09:30 EDTAmerican Express publishes the Intent Intelligence framework via Business Wire and makes it public to advance a common industry approach. Core service of the Agentic Commerce Experiences (ACE) Developer Kit.
October 13, 2026TechCrunch covers the launch the same day, from an interview with Hannah Bozian, VP of Agentic Partnerships and Strategy; Bozian was also scheduled to discuss the framework on the Industry Stage at TechCrunch Disrupt 2026 on October 13. Per TechCrunch, ACE also includes agentic tokens carrying Amex payment credentials, and Amex is in discussions with partners across the ecosystem on implementing ACE.
October 13, 2026TokenPost's spec-level coverage adds the ACE kit's status: Account Enablement, Intent Intelligence and Payment Credentials specifications are available, while Agent Registration and Cart Context remain under development — the framework is real, and parts of the kit around it are still being built.
April 2026Amex launched the ACE Developer Toolkit, the kit Intent Intelligence now joins (per TechCrunch and Amex's release).
October 6, 2026Amex's Business Playbook for Agentic Commerce and its planned Agent Purchase Protection: protection framed as conditional — the agent registered through ACE and the customer's intent authenticated. Intent Intelligence supplies the authenticated-intent half of that condition.
October 13, 2026 (release)Amex says it has not seen an increase in disputes from agentic commerce — this is proactive, built before the loss data exists. Its Trendex survey: 66% of surveyed U.S. consumers likely to use AI agents to research the best price; 61% likely to use one for a recommendation in the next 12 months.
October 13, 2026 (release)Standards posture: Amex says it is engaging EMVCo on secure card-based agentic transactions and supporting the x402 Foundation's work on internet-native payment standards — a card network publicly aligning its intent layer with the x402 rail.
October 14, 2026, ~09:23 EDTSML live gate check: scriptmasterlabs.com/api/harness/status reports bands auto_act ≥0.80, advisory 0.50–0.79, escalate <0.50; decider local-heuristic-v1, calibrated=false, typesafe_wired=false. Two Amex-shaped instructions scored live (below).
October 14, 2026Verdict Protocol re-verified: verdict.scriptmasterlabs.com/.well-known/agent.json reports LIVE_SETTLEMENT_VERIFIED; POST /decide $0.25 USDC, POST /seal $0.01 USDC, Base, x402 v2.

How it works, in four moves

Paraphrased from Amex's release:

The design difference Amex stresses: the issuer gets the authorized intent earlier — before the agent executes — rather than reconstructing it from the settled transaction afterward. Coverage of the launch gives the illustrative failure: a customer authorizes one brand and size of sneaker, the agent tries to buy a different brand, and the mismatch is exactly what the issuer-side check exists to catch.

What the token enforces — and what it cannot

QuestionIntent IntelligenceStill open
Did the purchase match the approved merchant, budget and product constraints?Yes — that match is the framework's whole job, checked at authorization.—
Was the credential exposed?No raw card number — the agent uses a scoped digital credential obtained via the token.—
Can a dispute be decided from evidence?Partly — the Intent ID preserves what was authorized, by which agent, and when.Evidence shows what was approved, not whether approving it was sensible.
Was the intent itself captured correctly?No check — the customer signs off on what the agent captured.A wrong intent, rubber-stamped, is enforced perfectly.
Was the agent's choice inside a broad intent wise?No score — any in-constraint choice passes.A broad staples reorder intent passes a poor merchant, brand or price choice inside it.

That last row is the decision-gate gap, and Amex's own framing concedes the use case that creates it: agents reordering household staples autonomously, where the only real constraints are price and size. The broader the intent, the more judgment the token delegates — and the token does not exercise any.

The missing layer is a score, applied per payment — tested live today

We ran two Intent-Intelligence-shaped instructions through ScriptMasterLabs' public decision gate this morning (~09:24 EDT):

curl -s -X POST https://scriptmasterlabs.com/api/harness/decide \
  -H 'Content-Type: application/json' \
  -d '{"state":"payment instruction: customer authenticated intent for white Nike sneakers size 9, max $120, merchant Nike.com; agent attempts to buy black Adidas sneakers size 9 for $145 from an unlisted marketplace seller","questions":[{"id":"q1","type":"score","scale":[0,1],"question":"confidence that this payment instruction should auto-execute"}]}'

Honest finding: our blunt free-text heuristic holds both — it cannot discriminate the mismatch Amex's framework is built to catch from the textbook-safe reorder. The reason is the lesson of this launch, stated from the other side: our gate receives intent as prose; Amex carries it as structured fields (merchant, budget, preferences) bound to a token, and structured constraints are mechanically checkable in a way prose is not. A gate is only as discriminating as the intent representation it scores.

Quotable: “ScriptMasterLabs' October 14, 2026 live test scored two Amex-Intent-Intelligence-shaped instructions at 0.59 and 0.59 — both held for human review — because a free-text heuristic cannot read the structured merchant, product and budget constraints that Amex's Proof of Intent Token carries.”

The two layers compose: the intent token answers “does this match what was approved?” deterministically; a per-payment confidence score answers “should this fire at all?” — ≥0.80 auto-pay, 0.50–0.79 confirm, <0.50 escalate to a human — and a sealed decision receipt (SML's Verdict Protocol: /decide $0.25 USDC, /seal $0.01 USDC, Base, x402 v2, LIVE_SETTLEMENT_VERIFIED re-checked today) gives the dispute file Amex's Intent ID starts, from the machine-payment side.

Claim Receipts

Relevant SML products

All five URLs returned HTTP 200 on October 14, 2026, before linking.

Do it yourself: carry intent as data, then score inside it

  1. Capture intent as structured fields, never prose alone. Merchant, budget cap, product constraints, expiry. Today's live test is the proof: a prose-fed gate scored a clear mismatch and a clear match identically (0.59 / 0.59).
  2. Bind sign-off to the intent object. Authenticate the customer against the exact captured constraints and mint an intent ID plus a token carrying them — the Amex shape, implementable with any signed-token stack.
  3. Scope the credential to the intent. Issue a tokenized or virtual credential constrained by the intent; never hand the agent a raw card number or an unscoped wallet key.
  4. Check before settlement, not at dispute time. Compare every purchase request against the intent fields at authorization; a mismatch declines or holds — it does not settle and argue later.
  5. Score what the intent leaves open, and log both. Run a per-payment confidence gate inside the intent's open choices, and persist intent ID + score + band + outcome together. That combined record is the dispute file.

Honest caveats

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