Manufacturers

AI Consulting for Manufacturers

Clairvance provides AI transformation consulting and implementation for manufacturers. We connect RFQs, purchase orders, quality records and maintenance logs to the ERP and quality systems you already run, with estimators, buyers and quality engineers keeping the decisions.

Based in Seattle · Consulting and implementation across the U.S. · Remote and on site

Machining centers on a clean manufacturing floor
Photo: Ana 2016 / Wikimedia Commons, CC BY-SA 4.0
The operating reality

Move quotes, orders and quality records at the pace of the floor.

In many plants, the work around production moves slower than production itself. An RFQ waits while someone rereads the drawing package, a supplier acknowledgement sits unanswered in an inbox, and a nonconformance report is retyped from a paper traveler. We work with operations, quality, purchasing and IT to map that work and implement AI and integrations inside the ERP, quality system and file shares you already use. AI can pull details from drawings, purchase orders and supplier documents, prepare records and flag gaps. Estimators, buyers and quality engineers keep the pricing, supplier and disposition decisions.

Where transformation can start

The recurring work worth examining.

For owners, COOs, plant managers and CFOs at discrete and process manufacturers: job shops, contract manufacturers, aerospace and industrial suppliers, metal fabricators, and plastics and packaging producers. Bring one recurring flow, such as quoting, order acknowledgement or quality records, that your team handles every week.

Quoting starts by reading the whole package again

An RFQ arrives as an email with drawings, a statement of work and the customer’s terms, and an estimator rebuilds the same facts every time: material, finish, quantities, the tolerances that drive cost, required certifications and the due date. A preparation workflow can pull those details into a structured quote request, link each one to the page it came from and list what is missing before estimating starts. AI can point to similar past jobs in the ERP; the estimator sets the price, the lead time and any exceptions to the customer’s terms.

A useful first move
Sample recent RFQs by customer and part type. Record the time from receipt to quote, the questions sent back to customers and the reasons quotes were reworked, then choose one RFQ path with steady volume.
What to measure
Measure RFQ-to-quote time, quotes corrected before sending, customer clarification requests and quoted against actual cost on won jobs.

Orders and supplier acknowledgements are checked line by line by eye

Customer purchase orders carry their own part numbers, revision levels, quantities, ship dates and quality clauses, and supplier acknowledgements come back with changed dates or prices. Someone compares each line with the quote, the ERP and the drawing revision on file. A matching workflow can line up each document against those records, show the differences side by side and route open questions to the right buyer or customer service lead. AI can draft the follow-up to a supplier who has not confirmed; nothing changes in the ERP until a person accepts the difference.

A useful first move
List the fields that cause the most rework, such as revision, unit of measure, price and promised date. Agree which system is the reference for each field and who may accept a change.
What to measure
Track order-entry corrections, revision mismatches caught before release, unconfirmed purchase orders and supplier date changes found after material was due.

Quality records are complete only after someone chases them

A nonconformance report, a corrective action, a certificate of conformance or a first article package depends on details spread across travelers, inspection sheets, supplier certificates and email. For a plant that works to AS9100 or ISO 9001, the same records feed audits and customer reviews. A records workflow can gather the evidence into a draft, check it against your own and the customer’s requirements and flag what is missing, such as a heat lot or an inspection result. The quality engineer still decides the disposition, approves the corrective action and signs the certificate.

A useful first move
Choose one record type, such as nonconformance reports or certificates of conformance. Trace a recent month of them from trigger to closure and note where information was retyped, missing or late.
What to measure
Measure time to close, records returned for missing information, corrective actions past due and audit or customer findings tied to record gaps.

Maintenance and scheduling depend on notes nobody can search

Work orders, technician notes, downtime logs and vendor service reports describe the same machines in different words, so a recurring failure can look new each time. Planners then set the schedule without a clear view of which equipment is likely to be down. A preparation workflow can tie each entry to the asset, group failure descriptions into agreed categories and summarize the history before a planner schedules work or a manager approves a repair. Maintenance leads decide the repair, the safety steps and when equipment returns to service.

A useful first move
Pick one line or asset group with frequent unplanned stops. Gather a year of work orders and downtime notes, agree a short list of failure categories and check how many entries can be classified with confidence.
What to measure
Track unplanned downtime by cause, repeat failures, work orders closed without a cause and the time planners spend collecting status before the schedule is set.
Work with your operating reality

Your systems are part of the starting point.

We start with the ERP or MRP system, quality software, maintenance tools and file shares already in use, and check their supported APIs, imports and exports before building anything. The working deliverable includes agreed field mappings, a review queue with each item linked to its source document and a traceable handoff into the system of record. Acceptance cases cover a superseded drawing revision, a partial shipment and a supplier certificate that does not match the purchase order. When drawings belong to defense work, we settle storage and access with your export compliance owner before any AI tool reads them. Purchasing, quality and production owners test the complete path, with a named owner for each mapping.

Workflow walkthroughs are illustrative designs, with fictional inputs and explicit review steps.

Bring a better brief

Workflow Opportunity Workbook

Map a recurring problem, collect a baseline, compare candidates, and prepare a first pilot with clear ownership.

Related insights
Common questions

AI for manufacturers, answered.

What AI use cases make sense for a mid-sized manufacturer?

The useful starting points are usually the recurring paperwork around production: RFQ and drawing intake, matching customer purchase orders and supplier acknowledgements to the ERP, preparing quality records such as nonconformance reports and certificates of conformance, and making maintenance history searchable. Pick one with steady volume and a clear owner. AI prepares, matches and flags; people keep pricing, supplier and quality decisions.

How can AI help a job shop with RFQs and quoting?

It can turn an RFQ email and its drawings into a structured quote request: material, finish, quantities, tolerances that drive cost, required certifications and due date, each linked to its source page, with missing items listed. It can also point to similar past jobs. The estimator still sets the price, the lead time and any exceptions to the customer’s terms.

Can AI write nonconformance reports and certificates of conformance?

It can draft them from the evidence you already hold, such as travelers, inspection results and supplier certificates, and flag anything missing before the record reaches review. It does not make a quality system compliant on its own. The quality engineer decides the disposition, approves corrective actions and signs certificates, and the records stay in your quality system.

Can we use AI on customer drawings that are ITAR controlled?

Only after the data questions are settled. ITAR defines technical data to include blueprints and drawings required to produce defense articles, so where files are stored, which systems process them and who can open them matter before any AI tool reads a controlled drawing. Customer agreements may add their own limits. We work with your export compliance and IT owners to set those boundaries first, and some files may stay out of scope. This is general information, not legal advice.

What does AI consulting for a manufacturing company include?

Clairvance maps how one workflow runs today, measures a baseline and checks what your ERP, quality and maintenance systems can already do through supported APIs, imports and exports. We then implement the agreed change inside those systems, test it with the people who will run it, train them and hand over operating instructions, with a named owner for each mapping and exception.

Start a conversation

Where does work wait between the office and the floor?

Tell us your ERP, the quality standard you work to, the workflow you have in mind and its rough weekly volume. We will use those details to discuss an implementation that fits your plant and the people who run it.

Talk to Clairvance