RFQ triage & quoting
Reads inbound RFQ emails and specs, extracts line items, and drafts a first-pass quote for your estimator. One manufacturer cut RFQ handling from 13 minutes to 2.
AI for manufacturing, on the paperwork, not the machines.
You don't have an AI problem on the line — you have an office and engineering hours problem. We put AI on the quoting, order, and documentation work that eats skilled time, while every spec approval and safety decision stays with a qualified human.
The labor gap is the business case. Deloitte projects 1.9M unfilled manufacturing jobs by 2033.
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Office hours, not the line.
We automate reading, drafting, and extracting — RFQs, POs, reports, quality records. Every physical action, spec sign-off, and safety decision stays human-owned.
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Past the pilot.
Around 77% of manufacturers have adopted AI in some form, but most are stuck experimenting. We install production workflows that actually run, and measure the hours they give back.
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Your knowledge, kept.
An estimated 70% of operational know-how is undocumented. We capture how your best people actually work into a searchable base new hires can query.
Where AI fits in manufacturing
Purchase & sales orders
Reads POs in any format and enters them into the ERP without rekeying, flagging mismatches — 60–70% less manual order admin.
Shift & production reports
Turns floor notes and machine logs into a structured end-of-shift handover in minutes, so the next shift starts with full context.
Quality & CAPA docs
Drafts CAPA reports, root-cause write-ups, and deviation records from investigator notes — a qualified person still reviews and approves.
Supplier communications
Drafts supplier emails and translates technical back-and-forth across quality, engineering, and procurement, including multilingual versions.
Tribal knowledge capture
Turns veteran operators' SOPs and fixes into a searchable knowledge base — directly countering the retirement cliff.
How it works.
Start with the two workflows costing the most skilled hours. Then compound.
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We map where the office hours go.
Usually estimating and supplier coordination first — the language-heavy work draining scarce engineering and office staff.
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We install it safely, in your systems.
The right models on the right data posture, wired to your ERP where it helps, with humans approving every output that counts.
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We train the team and measure.
Each role learns where AI fits their day; we track the hours it returns and move to the next workflow.
This is for you if:
- A $5M–$25M manufacturer where office/engineering hours are the bottleneck.
- Quoting, orders, and documentation are still done by hand.
- You're feeling the skilled-labor and retirement squeeze.
This is not for you if:
- You want AI controlling machines, PLCs, or safety interlocks.
- You want it signing off specs or final quality release.
- You're not willing to change how the office works.
Go deeper on AI for manufacturing
The guides and case studies behind this page.
In partnership with
FAQs
What is the best first use of AI in a manufacturing company?
Quoting or purchase-order processing. Both are high-volume, document-heavy, and reviewed by a person — so they return time immediately and carry no floor risk.
Is AI safe to use in manufacturing?
For the paperwork and coordination around production, yes — a qualified human approves the output. It should never control machines, safety systems, or sign off spec tolerances, where a confident wrong answer is dangerous.
Do we need to connect AI to our ERP or MES first?
No. The fastest wins draft and extract from documents and past work, which needs little integration. Deeper ERP/MES connections come later, once the first workflows prove out.