Manufacturing · Canada

AI for manufacturers: quoting from RFQs, quality records, traceability and maintenance knowledge

Plain-English answers from your drawings, quality records, work orders and ERP exports, with a link to every source, so estimators, quality engineers and technicians find what they need quickly.

Talk to us about AI for manufacturing

Why now

Where AI fits in manufacturing

Manufacturers hold more data than most industries, but a lot of the useful knowledge sits in documents rather than databases: RFQ emails and drawings, specifications, NCRs, 8D and CAPA reports, PPAP packages, maintenance work orders, operator notes and mill certificates. When a customer calls about a defect or a machine goes down, people search shared drives and rely on whoever has been there longest. AI can now read these documents together with ERP and MES exports, answer questions with links to the source, and prepare first drafts of quotes and quality reports. Estimators, engineers and quality leads still make the call.

Common challenges

Quoting from RFQs and drawings. Estimators read emailed RFQs, drawings and specs, check material, tolerances and finishes, and look for similar past jobs before pricing. Response time often decides who wins the work.
Quality history nobody can search. NCRs, customer complaints, 8D reports and corrective actions sit in different folders and formats, so recurring problems are hard to see across years and part families.
Traceability under time pressure. When a lot fails inspection or a customer reports a defect, tracing affected material through production logs, batch records and shipping notes is manual and urgent.
Maintenance knowledge that retires with people. Fixes for intermittent machine faults live in work orders, OEM manuals and senior technicians' memories, not somewhere newer staff can find them.

Use cases

AI automation for manufacturing

RFQ intake and quote preparation

Extract part numbers, materials, quantities, tolerances and finishes from RFQs and drawings, find similar past jobs, and pre-fill the quote for the estimator to price and approve.

Quality record search

Ask about past NCRs, complaints and CAPAs, such as every porosity issue on one part family, and get an answer with a link to each report.

Lot and heat traceability

Trace a lot or heat number from supplier certificates through production records to the customer orders and shipments that contain it.

Maintenance troubleshooting assistant

Search work orders, OEM manuals and technician notes for a fault code or symptom and show what fixed it last time.

Supplier confirmation follow-up

Chase unconfirmed purchase orders, read supplier replies and flag which jobs a late confirmation puts at risk.

Audit and PPAP preparation

Gather the documents an auditor or customer asks for and flag missing or expired items such as material certificates or gauge calibration records.

Example workflow

Customer complaint to containment

01
A customer emails a defect report with photos and a part number, and the agent opens a draft complaint record.
02
It finds the lots shipped to that customer and traces them to production dates, machines, operator notes and supplier heat numbers.
03
It searches past NCRs and 8D reports for the same defect on similar parts and summarizes the causes and fixes found.
04
It lists other customer orders and inventory holding the same lots and drafts a containment plan.
05
The quality lead reviews the trace and decides on containment, customer communication and corrective action. Nothing is quarantined or sent to the customer without that decision.
06
A draft 8D is assembled from the record for the quality team to complete.

Manufacturing: tracing a bad batch to customer ordersAnimated, narrated story: Tom, a quality engineer, connects production logs, batch records and shipping notes to Akurion and asks which customer orders hold batch B-0915. The answer separates shipped and held orders, each cited, using fictional sample data.

Data and privacy

Handling sensitive data

For most manufacturers the sensitive data is intellectual property rather than personal information: customer drawings and specifications, process parameters, pricing and supplier terms, often covered by NDAs and customer quality agreements. Defence and aerospace work can add further controls, such as Canada's Controlled Goods Program and export control rules, which limit who may see technical data and where it is stored. We can run models entirely on a server in your plant or in a Canadian cloud tenancy you control, keep drawings out of third-party AI services, and restrict access by program or customer. Personal information that does appear, such as names in operator logs, is kept to the minimum the task needs.

Kitchener-Waterloo

Local support

Waterloo Region and the surrounding area have one of Ontario's larger manufacturing bases, from automotive parts and metal fabrication to food processing and industrial machinery. We're in Kitchener and can walk the shop floor with your team during discovery.

AI consulting in Kitchener-Waterloo AI for small businesses

AI for manufacturing: frequently asked questions

How accurately can AI read engineering drawings?

Well enough to extract, not to price on its own. Current models reliably read title blocks, notes, material callouts, tolerances, finishes and revision tables on PDF drawings, and can compare them with the RFQ. They are less dependable at interpreting complex geometry or GD&T without help, so the system extracts and flags, and the estimator reviews the extraction and sets the price.

Does our ERP and MES data need cleaning before we use AI?

No. Most plants have gaps, duplicate part numbers and important notes in free-text fields, and language models cope with that better than traditional reporting tools. We start with the exports and documents you already have, flag the inconsistencies the system finds, and improve the data as part of the work rather than as a precondition for starting.

Can machine operators use an AI assistant on the shop floor?

Yes. The assistant can run on a tablet or a workstation at the line, answering questions about setups, work instructions and past fixes in plain language with a link to the source document. It can be limited to approved, current revisions, so operators don't end up following an outdated instruction they found in an old folder.

Other industries

Insurance Banking & Financial Services Legal Accounting Healthcare Real Estate

Tell us about the process you want to automate.

A 30-minute call is enough to tell whether AI is a fit, what a first project would look like and what it would take to run it in production.

Start a conversation dassjaylabs@gmail.com