AI Platform Engineering
Your store, readable and buyable by the AI agents that shop for your customers.
We make your store, marketplace or B2B portal readable and buyable by the AI agents that shop for people: a clean, structured catalogue, an MCP server over products, cart and orders, checkout through the open agent protocols, and limits that keep a person in charge.
Each piece is wired into the catalogue, cart, order and payment systems you already run, and every change is tested against real agent requests before it goes live.
waterproof hiking jacket in men's medium, delivered by Friday
Hooded shell jacket
Medium in stock
Delivery by Friday
Confirmed from courier data
Checkout for agents
Offered over UCP and ACP
Payment by token
Scoped to this basket
An agent's request comes back as structured answers: the product, stock in the right size, a delivery promise and how to pay.
Your store's agent answers a shopper's agent from your catalogue, policies and orders, and asks for a person when the rules say so.
Placed by a verified agent. Above the auto-approve limit; the shopper's signed mandate covers it.
Agent orders above your auto-approve limit wait for a person on your team, with the mandate and the basket in view.
Catalogue, MCP and checkout changes are run against recorded agent requests before agents see them, and the last good release is one step back.
Agentic commerce development, piece by piece. Each part connects to your catalogue, inventory, orders and payments, and each one is tested against real agent traffic before it goes live.
Clean, structured product data: consistent titles, attributes, variants, stock, prices, delivery and returns, published in schema and feeds that agents parse without guessing. It is also the work that pays off in search, ads and marketplaces.
An MCP server over products, cart and orders, so an assistant can search, build a basket and check an order through tools you define. Shopify's Storefront MCP shows the pattern; we build the same for any ecommerce stack.
Google's Universal Commerce Protocol, announced in January 2026, describes what a store offers in a published manifest, with REST, MCP and agent-to-agent bindings. We map your catalogue, checkout and order status to it and keep it current.
The Agentic Commerce Protocol from OpenAI and Stripe, published in September 2025, lets an assistant check out with a payment token scoped to your store and that basket. We wire it into your cart, tax, stock and order systems.
Google's Agent Payments Protocol, from September 2025, records what the shopper asked for, the cart and the payment as signed mandates. We check them at checkout, so every agent order shows who authorised what.
Telling a trusted shopping agent from a scraper: Visa's Trusted Agent Protocol, built with Cloudflare's Web Bot Auth, signs agent requests, and Mastercard Agent Pay links payment to known agents through agentic tokens. We check both at your edge.
In October 2025 NPCI, Razorpay and OpenAI announced a pilot of UPI payments made through an AI assistant. We prepare your checkout and order flows for agent-initiated UPI payments, with the shopper's consent and limits in view.
Visits and orders that arrive through AI assistants, tagged and measured as their own channel from referral to checkout, so you can see what agents buy, where they drop out and which products they pick.
The rules that decide what an agent may do in your store: what it can see, buy and return, how much it can spend, and the points where a person must approve. Every agent action is logged for your team.
Agentic commerce readiness
The standards are still settling. Google, OpenAI, Stripe, Visa and Mastercard each publish their own pieces, and many agentic projects stall before they reach production. Betting a roadmap on one protocol is a risk.
So we start with the work that pays off whatever wins: a clean, structured catalogue and an interface agents can read. The same data serves your own search and the storefront your shoppers use, and the protocol layers follow when your channels support them.
Most stores start with the catalogue and one agent-facing interface. We build it inside your stack, prove it on real agent traffic and hand it to your team.
A readiness review of your catalogue, feeds, checkout and payment providers, to choose the first agent-facing piece and agree how it will be judged.
Engineers work in your repositories and your cloud, wiring the catalogue, MCP server and protocol endpoints into the cart, order and payment systems you already run.
We replay recorded agent requests before launch, then open to a share of agent traffic and watch orders, errors and approvals, with a rollback ready.
Runbooks, dashboards and a trained team. You own the code, the agent rules and the test set; we can stay on to run it if you want.
Tell us the platform you run and where agents could reach you, and we will come back with a first view of where to start.