Agents are reaching your checkout. Can they complete it?
As AI agents begin to evaluate and transact on behalf of shoppers, checkout becomes the moment of truth. Cartograph shows payments and checkout teams exactly where agent-like sessions stall — across cart, tax, shipping, risk, and payment — using evidence from observed behavior, not assumptions.
What's at stake at checkout
An agent that can already discover and trust your store still has to get through checkout. If cart, tax, shipping, account creation, or payment selection quietly assume a human — JavaScript-only flows, aggressive bot challenges, opaque payment options — the agent gives up, and a high-intent, pre-qualified purchase disappears. You see a failed session; you don't see that an agent decided you weren't transactable.
Where agent-like checkouts break
- Cart and quote retrieval that depend on JavaScript-only flows an agent can't drive.
- Tax and shipping that can't be resolved without a human-style session.
- Bot and fraud controls that challenge or block legitimate agent-mediated sessions.
- Payment methods, wallets, and tokenization paths that aren't legible to an agent.
- Account or login walls that stop an agent before it can pay.
- No way to tell an agent-assisted checkout from a bot or a human in your data.
What Cartograph shows you
The Transact layer of the Read / Trust / Transact model, applied to your checkout — every finding tied to an observed agent-like session, not a configuration guess.
- Where a cart-to-confirmation journey stalls for an agent-like session, step by step.
- Which bot, fraud, and risk controls are catching legitimate agents.
- Whether payment methods and flows expose enough for an agent to choose and complete.
- The difference between human, bot, and agent-assisted checkout activity in your data.
Read-only, observed from public checkout surfaces using non-customer sessions — Cartograph never asks for payment credentials or PSP access, and never bypasses your fraud or payment controls.
Who owns this
- Checkout and conversion teams — find where agent-mediated journeys fail before confirmation.
- Payments teams — see whether payment methods, wallets, and authorization paths are legible to agents.
- Risk, fraud, and bot teams — separate legitimate agent sessions from suspicious automation using commerce context.