AI agents now browse, compare and buy on behalf of shoppers and procurement teams. Most storefronts were built for people clicking through pages, so an agent hits gaps fast. Product attributes are missing, policies live in PDFs, checkout expects a human and nobody has decided what an agent is allowed to do.
A readiness engagement looks at your store the way an agent does, then gives you a clear list of what to fix and in what order. It is the starting point for everything else in our agentic commerce work.
What we review
- Product data. Whether your attributes, variants, specs and availability are structured well enough for an agent to describe and compare products accurately.
- Discoverability. How your brand and products show up when shoppers ask ChatGPT, Gemini, Perplexity or Claude for a recommendation.
- Protocols and endpoints. Whether you can support agent standards such as UCP, ACP and MCP, and what your platform already handles for you.
- Checkout and payments. How an agent would build a cart, apply pricing and pay, and where fraud and chargeback risk sits.
- Policies and governance. Returns, shipping, pricing rules and the limits you want on agent actions, written so a machine can follow them.
How the engagement runs
We start with your platform, your catalog and the channels that matter to your customers. We test real agent journeys against your store, score each area and map the fixes to effort and impact. You get a plan your team can act on, whether we build it with you or not.
For the technical background, read UCP, ACP and MCP explained and whether your product catalog is ready for AI shopping agents.
