AI automation for Chesterfield businesses
Chesterfield makes things. Around nine per cent of its business base is manufacturing — double the national average — and the workflows that keep those firms running are exactly the kind we automate: works orders, delivery paperwork, quality records, and the systems that never quite talk to each other.
Ref 01 · Surveyed local economy
The local picture
The town holds around 335 manufacturing businesses employing roughly 4,000 people. They range from long-established names like Robinsons and Franke Sissons to the engineering supply chain around SIG plc and Rhodes Engineering Group.
The direction of travel is just as telling. The DRiiVE rail innovation centre and the new Engineering, Manufacturing and Life Sciences Centre at Chesterfield College are serious investments in modern industry — fitting for the town where George Stephenson spent his final years.
For firms this size, the automation gap is rarely ambition — it’s that the operational software never caught up with the shop floor. Orders arrive by email, certificates live in PDFs, and the ERP only knows half the story. That gap is our working territory.
Local figures: chesterfield.co.uk (Chesterfield economic data), checked July 2026
Precision & general manufacturing
Works orders, material certificates and quality records — the paperwork layer AI extraction handles well when it’s engineered with validation, not just a prompt.
Engineering supply chain
Quoting, order acknowledgement and delivery-note chasing between OEMs and subcontractors — repetitive, structured, and mostly still done by retyping.
Rail & advanced engineering R&D
The DRiiVE ecosystem will pull data-heavy processes into town; the firms feeding it need their own systems talking to each other first.
Ref 02 · Where automation earns its keep here
What we’d automate in Chesterfield
Works paperwork into structured data
Purchase orders, delivery notes, material certificates and quality records parsed automatically into the systems a Chesterfield works already runs — AI extraction with validation and deterministic fallbacks, engineered like the document pipelines in our workshop builds.
Connecting shop floor to office
Production spreadsheets, job-tracking boards and accounting packages joined up so nobody retypes what the factory already knows. Event-driven reporting turns each day’s work into live dashboards a works manager can act on.
Phone-heavy processes, answered
Supplier chasing, appointment confirmation, first-pass enquiry handling — the same voice-agent architecture we built for HGV driver screening applies to any structured, repetitive call an engineering office makes daily.
Ref 03 · Proof, not promises
The relevant work
We prove capability with systems we’ve actually built — described from their codebases, with no invented clients or results.
AI voice screening for HGV driver recruitment
Compliance-gated voice AI with a deterministic rule engine — the discipline a regulated manufacturing workflow needs.
TypeScript · Twilio · Gemini Live
Index W3 · Workshop build · internal toolingApplicant tracking on Trello for a logistics recruiter workflow
Email-to-system parsing and event-driven reporting — the same pattern as works orders arriving in a Chesterfield inbox.
Next.js · Supabase · Deno Edge Functions
Ref 04 · Working with us from Chesterfield
The practical bit
We’re based in Derby, about 25 miles down the A61 and M1 — close enough for on-site working sessions in Chesterfield whenever the project needs them. No local office, and we won’t pretend otherwise; just an engineer who turns up.
Every project starts the same way regardless of postcode: an email describing the workflow, a straight answer about whether automation fits, then a scoped survey before any build. How we work →
Automating something in Chesterfield?
Describe the workflow in plain words — you’ll get a straight answer from the engineer who’d build it.
Email [email protected]