Your store is leaking money in three places.
Support tickets you shouldn't be answering. Carts nobody helped close. AI assistants recommending your competitors instead of you. We audit all three, put your own numbers against each, and build the one that pays back fastest.
Answers what your team answers 200 times a week
Orders, returns, cancellations — with hard limits on what it does without a human.
Helps customers choose, then closes
Recommends, compares, checks stock, starts checkout.
Gets you recommended when shoppers ask AI
Product data, feeds and APIs prepared for AI shopping platforms.
The AI Store Readiness Audit
Most AI projects in eCommerce fail before anyone writes code — messy product data, rules nobody wrote down, systems that won't talk to each other. So before we build anything, we go through your store, your systems and your support history by hand. You get back what AI can safely do, what it must never touch, and what each one is worth in your numbers.
Four scores, a 30-day action plan, and a cost and payback estimate — yours to keep, whether or not we build it.
Customer support review
Common questions, return, refund, cancellation and shipping rules, approval cases, current helpdesk tools and repeated manual work.
OUTPUT — what AI can automate, assist with, or must leave to humansSales experience review
How customers find products, comparison needs, pre-sale questions, sizing and compatibility problems, upsell and cart friction.
OUTPUT — sales tasks an assistant can handle, and their expected valueProduct data review
Titles, descriptions, categories, variants, prices, stock, images, attributes and identifiers — plus what's missing or wrong.
OUTPUT — data problems that cut AI visibility or cause wrong recommendationsAI discovery review
We test whether AI systems can find your store and products, understand and compare them, and avoid recommending unavailable items.
OUTPUT — an AI discovery score and a list of visibility gapsSystems and integration review
Shopify, helpdesk, CRM, inventory, orders, shipping, payments, available APIs, custom apps and data access limits.
OUTPUT — a system map and the work needed to connect themAI action and safety review
What the AI may do unattended — answer, add to cart, cancel, start a return, issue credit — plus approvals, identity checks, logs and takeover.
OUTPUT — allowed, restricted and human-only action listsAI commerce review
Feed quality, structured data, live price and stock access, cart and checkout support, order tracking, returns, and emerging agent-commerce standards.
OUTPUT — a readiness level for AI discovery and AI-led transactionsWhere your store sits today
Every audit ends on one of four levels. The level decides what we build first — and skipping ahead is the most expensive mistake in eCommerce AI.
Not ready
Major gaps in product data, process or systems. Those get fixed first — nothing built on top would hold.
Assist ready
AI can answer questions and support your team, but should not take actions on orders or money yet.
Automation ready
AI completes selected support and sales tasks end to end, inside written rules and approval limits.
Commerce ready
Outside AI platforms can find, recommend and buy your products — cart, checkout and orders included.
Three services. You only need one to start.
The audit decides which. We build it, measure it in your numbers, and expand only once it's paying for itself.
Custom AI customer support
Off-the-shelf apps handle the easy half. This is for stores with complex rules, several connected systems, or real ticket volume — a system that answers product and order questions, checks status, handles returns and cancellations, applies your rules, and escalates anything needing human approval.
- —Connected to Shopify, your helpdesk, CRM and inventory
- —Explicit allowed / restricted / human-only action list
- —Logged activity and clean human takeover
Last February a UK store's chatbot was flattered into inventing an 80% discount code — on an £8,000 order. It was only meant to answer questions overnight, and nobody had written down what it couldn't do. Cancelling isn't always an option either: in Moffatt v. Air Canada, a tribunal held the airline to what its chatbot promised.
r/LegalAdviceUK, Feb 2026 · 2024 BCCRT 149
AI sales assistant
For catalogues where choosing is the hard part — technical products, sizing, compatibility, too many options. It asks what the customer needs, compares products, explains the differences, suggests bundles, checks price and stock, adds to cart and starts checkout.
- —Recommends only what's actually in stock and suitable
- —Handles sizing and compatibility questions before the cart
- —Bundles and related items where they genuinely fit
fully waterproof
warmer, heavier
AI commerce readiness
AI assistants are becoming a shopping channel, and they can only recommend what they can read. If your product data, prices, stock and checkout aren't legible to them, they'll recommend the competitor whose data is. We fix the data, descriptions and attributes, add structured information, repair feeds and prepare your APIs and checkout for AI agents — then test whether AI systems actually recommend you correctly.
- —Structured product data and cleaner feeds
- —Live price, stock, cart and checkout access for agents
- —Prepared for emerging agent-commerce standards
How we work
One focused implementation at a time, on a five-week clock. We expand only after the first system earns it.
Readiness audit
Store, systems and support history reviewed by hand, then scored.
Find the costly problems
Ranked by money saved or earned, not by how interesting they are.
Build one system
Narrow scope, your rules written down, tested against real cases.
Measure the result
Resolution rate, conversion, AOV, refunds, tickets per order.
Expand
Only once the first system earns its place. Then the next service.
Questions store owners ask
No. We work with Shopify, Woo, BigCommerce and headless setups as they are, and build on the systems and APIs you already have.
Find out what AI is worth in your store before you spend anything building it.
One call, one store, thirty minutes. You'll leave knowing whether there's a real case for AI in your business — and if there isn't, we'll say so.