Serving Stoke-on-Trent, Staffordshire

AI Consulting in Stoke-on-Trent

Senior architect work for Stoke-on-Trent retailers building on Shopify Plus, headless Next.js and bespoke storefronts. One engineer, direct line, no agency overhead.Local reference points for Stoke-on-Trent briefs often include Hanley city centre, Wedgwood Visitor Centre (Barlaston), Royal Doulton & Spode pottery heritage.

Working from Staffordshire

Region
Staffordshire, United Kingdom
Postcode area
ST and surrounding
From Manchester
~50 min by train (Manchester Piccadilly → Stoke-on-Trent, Avanti and CrossCountry direct)
Engagement shape
Remote-first with planned on-site workshops

Why Stoke-on-Trent retailers ask for a senior architect

AI consulting briefs in Stoke-on-Trent are unexpectedly varied for a city of its size: ceramics D2C operators looking at vision-based defect detection and seconds-grading; Etruria Valley 3PL operators wanting predictive ETA and exception-triage automation; and a sophisticated engineering market around Hanley with more standard LLM and RAG briefs.

The Stoke-on-Trent ecommerce landscape

Three Stoke-specific AI patterns recur. First, ceramics and homeware: vision-based grading of seconds and firsts, glaze defect detection, kiln-cycle scheduling — narrow, observable AI/ML systems where the cost of a wrong call is real money on a hand-decorated piece. Second, Etruria Valley logistics and 3PL: predictive ETA, cargo and parcel classification, exception-triage where LLMs and traditional ML both have a role and the sensible architecture is usually mixed. Third, Hanley tech-cluster operators (bet365-adjacent on the engineering side, not the betting side) with more standard LLM, RAG and product AI briefs and a higher-than-average bar for evaluation rigour.

  • Ceramics D2C and homeware (Wedgwood, Royal Doulton, Spode, Emma Bridgewater, Burleigh, Steelite, Churchill China)
  • bet365 and the Hanley gambling-tech ecosystem (one of the largest tech employers in the Midlands by headcount)
  • Distribution, warehousing and logistics around Etruria Valley and the M6 corridor (Sainsbury, Veolia, multiple 3PL operators)
  • Light manufacturing and engineering across the Potteries — ceramics machinery, packaging, food production
  • Tourism and heritage commerce around the Potteries trail and the Stoke-on-Trent visitor economy

What gets built for Stoke-on-Trent ecommerce briefs

The same deliverables regardless of city — the local context changes how they are shaped and prioritised, but the engineering craft is consistent.

AI strategy & ROI mapping

A written strategy doc you can show to the board: candidate use cases ranked by ROI and risk, a 6–12 month roadmap, and a defensible cost model — not a hype-deck.

RAG systems on your data

Retrieval-Augmented Generation grounded in your documents, databases, or product catalogue. Layout-aware extraction, chunking strategy, embedding choice, and evals tied into CI.

LLM selection & cost engineering

Model routing across GPT-5.4, Claude Opus 4.7, Gemini 3.1 and open-source. Prompt compression, semantic caching, fallback chains, and a token budget that survives volume growth.

Production deployment & observability

Real production-grade systems: feature flags, rollback paths, latency SLOs, hallucination monitoring, prompt-injection defence, and dashboards your ops team can actually use.

AI governance & compliance

GDPR, UK-GDPR, FCA model risk where relevant, EU AI Act readiness, audit trails, and a written model card for each deployed system. Built in from day one, not bolted on.

Internal team enablement

Your engineers and product people learn alongside the build. Pair sessions, written ADRs, prompt libraries, and a documented handover so the work survives my exit.

How the engagement runs

01

Discovery & data audit

A paid one- or two-week audit: where your data actually lives, what state it is in, what the highest-ROI use cases are, and what regulatory boundaries exist.

02

Strategy & roadmap

A written decision document: ranked use cases, recommended models, integration map, success metrics, costed phased delivery, and a clear "do not do this" list.

03

Pilot build

A narrow, real production pilot — not a slide-deck demo. Evals from day one, observability from day one, and a clean rollback if it does not hit the success metric.

04

Production rollout

Feature-flagged rollout, load testing, prompt-injection and red-team review, monitoring tuned for hallucinations and cost spikes. No blind cutovers.

05

Optimise & enable

Cost engineering, eval-driven prompt iteration, training your in-house team, and a documented handover so you are not dependent on me forever.

Proof and references

Most AI engagements with Stoke ceramics and 3PL operators sit under NDAs that prevent me from naming clients here. I can put you in touch with one or two UK reference clients privately for a peer call — that's a better signal than a marketing testimonial would be.

Engagement models

Three shapes that cover almost every Stoke-on-Trent brief I take. The right one depends on your stage, not your postcode.

AI strategy sprint

A paid one- to two-week deep-dive: data audit, ranked use cases, costed roadmap, and a written board-ready strategy document. The artefact is yours regardless of whether we work together on the build.

1–2 weeks
From £6,800

Pilot build

A fixed-scope production pilot for a single ranked use case: RAG search, document automation, customer-support deflection, or similar. Evals, observability, and a clean exit if the metric is not hit.

6–10 weeks
From £18,000

Retained AI advisor

Monthly hours for ongoing architectural oversight, eval-driven prompt iteration, model and cost reviews, and on-call during peak or regulatory events. Designed for teams that want senior input without a full-time hire.

Monthly, rolling
From £3,800/mo
Indicative pricing only. Every engagement is scoped and quoted individually after the first conversation.
Tech stack:GPT-5.4Claude Opus 4.7Gemini 3.1LangChainLlamaIndexPineconepgvectorWeaviateAWS BedrockAzure OpenAIn8nPythonTypeScript

Why work with a Manchester-based architect on your Stoke-on-Trent project

Stoke is 50 minutes from Manchester by direct train, so on-site workshops are practical and Stoke invoices carry no travel charge. The shape that fits this market well is a paid 2–4 week discovery as the first engagement: a written read on candidate AI use cases, a defensible cost model, an evaluation plan, and a clear list of what should not be built. For ceramics-vision and 3PL operational work the discovery often involves walking the actual production line or warehouse, which is exactly the kind of on-site work the train connection makes easy.

Questions from Stoke-on-Trent ecommerce teams

Local specifics clients ask about before starting a project.

Yes — this is one of my favourite kinds of brief because the constraints are sharper than in most LLM work. The pattern is a small, well-evaluated proof of concept on real production-line images, a written architecture decision record, and a phased plan that integrates with your kiln-cycle and seconds-grading workflows. I prefer to walk the production line in person before recommending an architecture.

Also working across the UK

Same engagement shape, different local context.

Greater Manchester

Ecommerce development in Manchester

Manchester AI work is shaped by the city's actual industry mix — media production at MediaCityUK, the apparel and retail giants headquartered around Trafford and the city centre, and the Manchester Digital tech cluster that punches well above its weight for a regional ecosystem. Most briefs I take here are from Heads of Data, Heads of Engineering or founders who have used GPT and Claude in side-projects and now need a senior architect to turn that experimentation into something the rest of the business can rely on. The gap between 'we ran a clever prompt' and 'we have a production AI service that survives Black Friday' is the specific problem I solve.

Read the Manchester page

West Midlands

Also serving Birmingham retailers

Birmingham AI work is more weighted toward manufacturing, B2B and trade than the typical London or Manchester AI brief. The Midlands has hundreds of mid-size manufacturers, distributors and engineering firms learning that AI is no longer just a marketing exercise — it is predictive maintenance, supplier-document automation, technical-support deflection, knowledge capture from retiring engineers, and ERP-adjacent tooling. The briefs that arrive from the B postcode area and the wider West Midlands tend to come from technical directors, ops directors and second-generation owners who care more about integration and reliability than about being on the bleeding edge.

Read the Birmingham page

Merseyside

How I work with Liverpool brands

AI consulting briefs in Liverpool tend to come from one of three places: the Knowledge Quarter life-sciences and biotech cluster around Paddington Village, the maritime and freight world around the Port of Liverpool and Peel Ports, and a steady drip of NHS Mersey trusts and Liverpool City Region digital teams who have been told to 'do something with AI' and want a senior outside read before they commit.

Read the Liverpool page

Ready to talk about your Stoke-on-Trent ecommerce project?

First call is free and takes about 30 minutes. You'll come away with at least one concrete next step, whether or not we end up working together.

AI consulting in Stoke-on-Trent and the Potteries

Stoke's AI buyer profile leans manufacturing-and-logistics rather than fintech-and-SaaS, which means the right starting move is rarely 'pick a model' — it is a written discovery doc that maps candidate use cases to ROI, risk, and a defensible cost model, often with on-site time at the production line or warehouse. Across ceramics, 3PL and Hanley engineering, the engagement bar is high and the right tone is sceptical and Bayesian, not evangelical.

I provide the discovery as a fixed-scope, paid engagement so we both come out the other side with the same understanding of what is worth building and what isn't.

Working with Stoke AI and data teams

For ceramics operators, the engagement question is usually evaluation rigour against the cost of false-positives and false-negatives in seconds grading. For Etruria Valley 3PL clients, the question is latency, observability, and graceful degradation when the model is wrong. For Hanley tech-cluster operators, the question is which features ship and which are killed.

If you are looking for an AI consultant in Stoke-on-Trent or the wider Potteries, the contact form below goes directly to me. The first conversation is free and the discovery phase is fixed-scope and paid.