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AI for manufacturing

AI for manufacturers. Less audit admin, fewer repeated problems.

Custom AI agents and private knowledge systems that cut repetitive quality and reporting work, surface repeat issues sooner and keep know-how when experienced people leave.

Discuss your bottleneck Book a discovery call
Where the time goes

The records exist in checklists, shift logs and supplier paperwork. The time goes on assembling them into something auditable.

01

Quality records compiled by hand in the week before an audit, and never again after

02

Non conformances logged in a spreadsheet, so the same fault returns without anyone noticing

03

Shift handover carried by one person's memory and a page of notes

04

Supplier invoices and delivery notes reconciled against the order by hand

05

Process knowledge leaving with the person who has run the line for twenty years

06

Machine and line data sitting in systems nobody has time to read

How we solve it

We build agents that keep the records straight as the work happens, and a knowledge layer your people can query in plain English.

Custom AI systems & agents

Audit evidence that assembles itself

Collect and check the records a standard asks for as they are created, so the week before an audit stops being a fire drill.

Custom AI systems & agents

Repeat quality issues, spotted early

Group non conformances and complaints by cause and flag the pattern when a third or fourth occurrence appears, rather than after the customer does.

Custom AI systems & agents

Handover and shift reports

Turn the day's logs, alarms and exceptions into a structured handover, so the next shift starts with the same picture.

Custom AI systems & agents

Supplier invoice and delivery checks

Match invoices to orders and goods received notes, flag short deliveries and price changes, and leave your team the exceptions.

Custom RAG & domain LLMs

Procedures and specs without the hunt

Answer questions from your SOPs, work instructions, specifications and past investigations with the source attached.

Project stories

What this could look like in your business.

Industrial distributor · West Midlands

Quotes that don't wait for Dave.

A second-generation fixings and industrial supplies business. Dave has been there 22 years and holds most of the customer pricing in his head. When he's on holiday, repeat quotes stall at the counter.

We connected an assistant to their existing CRM and five years of order history. Anyone on the counter can ask for a customer's last price on M10 resin anchors and pull up the order it came from.

The product codes needed cleaning up before the answers could be trusted, so that came first. Dave still handles the tricky quotes himself.

Repeat quotes no longer wait for one person to be back at his desk.

What to measure

Agree the targets. Test the improvement.

These are measures for a pilot, not claimed client results. We agree your starting point and targets during discovery, then review the evidence with your team.

Time preparing for audit

Hours spent gathering and checking records in the run up to an assessment.

Repeat issues spotted

How early a pattern shows up before it becomes a customer complaint.

Handover effort

Time lost at shift change while the next team works out what happened.

Procedure access time

Minutes from a question on the line to the current instruction in front of someone.

Systems we connect
SAPEpicorNetSuiteExcelSharePointMEXOutlookPaper QA recordsAnything with an API

We build around the tools you already run. Anything with an API or a database is fair game, with access and scope agreed during discovery.

Who this is for

Manufacturers with documented processes, frequent audits and a workforce whose knowledge is not fully written down.

  • Discrete manufacturers running multiple product lines
  • Food, drink and building products producers under audit regimes
  • Plant and process operations with shift working
  • Quality and compliance teams carrying the evidence trail
How we work

Discover, build, evaluate, operate.

01

Discover

Start with the task taking too much time. We look at the data, the systems and the constraints, then agree a starting point and the measures that show whether it worked.

02

Build

We build a focused version on one high-value problem, with the boundaries, permissions and approval points your team needs.

03

Evaluate

Your team compares the result against the agreed starting point. Gaps and teething problems are reviewed together before a wider rollout.

04

Operate

We monitor quality, cost and drift, then extend the system where it earns its place in the workflow.

FAQs

Questions, answered.

What the system does, what stays with your team, and how your data is handled.

Related
AI invoice matchingPrivate knowledge systemsManufacturing outcomesBook a discovery call

Which record costs your team the most time?

Audit prep, non conformance follow up, or supplier invoices. We will scope one and agree how to measure the difference.

Discuss your bottleneck Book a discovery call