Guardrails, action logs and testing, so every agent acting for your brand can be checked and overruled.

Agents that handle quoting, approvals and reorders for trade accounts, inside the rules you already set.

Product copy, imagery and translations produced at catalog scale, with a review step before anything publishes.

Ranking, recommendations and bundles that adapt to each shopper, tuned against margin and stock, not just clicks.

An on-site assistant grounded in your own catalog and policies that answers questions and builds carts.

Product attributes, specs and feeds structured so AI agents and AI search describe your catalog accurately.

A Model Context Protocol server that exposes your catalog, inventory and orders to the assistants customers use.

Taking payment from AI agents safely, through signed AP2 payment mandates and delegated card tokens.

Publishing the manifest and checkout endpoints that let AI agents build a cart and place an order on your store.

Deployment, previews and edge delivery handled without managing infrastructure yourself.

Platform updates, integration monitoring and incident response with a named team behind it.

Returns handled in a way that retains both the customer and the margin.

Social proof and repeat purchase programs wired properly into the storefront.

Onsite search and merchandising tuned to what actually converts for your catalog.

Marketing publishing without waiting for a developer release window.

Email and SMS programs that react to what a customer actually did on the store.

Storefronts that are usable by everyone, and defensible if you are ever challenged.

Catching the checkout and product page errors that quietly cost orders every day.

Page speed treated as a revenue metric, particularly on mobile where the gap is widest.

Tests designed to answer a question rather than to confirm a preference.

A running experiment program prioritized by expected revenue impact, not ease of build.

Production ready interface design handed over in a form developers can build from directly.

A component library so the team ships consistently instead of redesigning every page.

Testable structure agreed before anyone writes production code.

How customers actually move across channels, and exactly where the friction sits.

Interface design grounded in the brand's own analytics rather than generic best practice.

Selling into several countries and currencies without a separate build for each.

One stock and customer record across the store, the website and events.

Account specific pricing, catalog visibility and approval workflows on the same platform as DTC.

Sales tax and cross border compliance handled in the platform rather than by hand.

Checkout, recurring billing and pay later configured for your basket size and markets.

Orders routed and fulfilled without anyone moving them between systems by hand.

Finance, inventory and ecommerce agreeing on stock, orders and customers without retyping.

Product, customer, subscription and order data moved, reconciled and verified.

Replacing the front end while leaving the commerce engine where it already works.

Moving off WooCommerce onto a platform that does not need constant maintenance.

Leaving Magento without losing order history, search equity or trading days.

Moving to BigCommerce where multi storefront and B2B pricing rules need to work natively.

Moving to Shopify Plus with catalog, customers, subscriptions and search rankings intact.

Deciding which system owns which data before anything gets integrated.

Production Saleor storefronts for brands that need direct control of their commerce API.

A custom front end on Shopify's Storefront API, with Shopify continuing to own checkout.

A storefront built as a real application, with the commerce engine sitting behind an API.

Commerce built from replaceable services rather than one platform trying to do everything.

Automating the manual handoffs between commerce, operations and marketing systems.

Agents built into support, merchandising and internal operations, scoped to work that is worth automating.

Being findable and citable inside the assistants where buyers increasingly start their research.

Making the storefront readable and transactable by the AI agents that now shop on a customer's behalf.

Moving commerce, marketing and finance data between systems on a schedule you can trust.

Tracking that survives consent banners, ad blockers and a headless front end.

Dashboards that answer the standing questions without someone exporting a spreadsheet first.

Analytics set up so the numbers reflect how the business actually makes money.

Deciding what to build custom and what to buy, with the real cost of each made explicit.

Reducing overlapping tools into a stack that costs less to run and is easier to change.

Senior ecommerce leadership on a recurring basis, owning the roadmap without a full time executive hire.

A straight read on what is holding the storefront back, across technology, experience and merchandising.

An evidence based comparison of commerce platforms against the constraints your business is actually hitting.

Structured discovery that establishes what to build, in what order, on which platform, and what each decision is likely to cost.