THE PROBLEM

"AI Agents Can't Buy From My Store"

An AI agent finds your product, recommends it to a shopper, and then... sends them to your website to complete the purchase manually. That handoff kills conversion. The agent economy needs protocols — and your store doesn't speak the language yet.

The Protocol Gap

AI agents need standardized interfaces to interact with your store. Without protocols, they can recommend but not transact — and revenue goes to competitors who've implemented them.

Used by: Google AI Mode

Exposes your store as a structured commerce endpoint. Discovery manifests, checkout sessions, payment handlers, order management.

Used by: Claude, ChatGPT, Custom Agents

Turns your commerce operations into callable tools. Product search, cart management, checkout — all as functions an agent can invoke.

Used by: Enterprise Procurement Agents

Publishes an Agent Card so buyer agents can discover your capabilities and negotiate transactions autonomously.

Execution Framework

The Path to Agent Transactions

A structured rollout for protocol adoption, channel testing, and conversion optimization.

1 Step 1

Assess

We evaluate your platform, APIs, and data layer to determine which protocols fit your architecture and priorities.

2 Step 2

Implement

We build the protocol layer: UCP manifests, MCP tool definitions, and A2A agent cards integrated with your commerce backend.

3 Step 3

Launch & Optimize

Go live with testing across agent channels, then optimize conversion flows and monitor performance.

Ready to Enable Agent Checkout?

See which protocols your platform supports and get an implementation estimate tailored to your architecture.