AI for Manufacturing and Engineering
Custom agents built by someone who has actually worked on the shop floor.
Most AI companies selling to manufacturers have never set foot in a machine shop. They pitch generic chatbots that can't tell a tolerance ring from a snap ring. That's not what this is.
I spent years in manufacturing engineering before building AI full-time. The agents I build for this industry are grounded in how things actually get made — not how a slide deck says they should.
What AI can actually do in manufacturing today
Not everything is ready for prime time. Here's an honest breakdown of what works, what's getting there, and what's still hype.
Engineering
- Bill of Materials (BOM) generation — Feed it a design, get a structured BOM with part numbers, quantities, and material specs. Works best when your parts library is organized.
- Design for Manufacturability (DFM) review — Catches common issues: wall thicknesses that won't mold, undercuts that need side actions, tolerances that will drive cost through the roof.
- Tolerance analysis and sizing — Tolerance ring sizing, press fit calculations, stack-up analysis. Real math, not guesses.
- Cost estimation — Rough-order-magnitude costing based on material, process, and volume. Not a replacement for your quoting team, but a solid first pass.
- Work instruction generation — Takes process notes and spits out formatted, step-by-step work instructions with the right level of detail for the operator.
- Technical document search — Natural language search across your specs, standards, and procedures. "What's the torque spec for M8 bolts on aluminum housings?" instead of digging through PDFs.
Quality
- Inspection plan generation — Given a drawing and critical dimensions, generates inspection plans with appropriate sampling levels and measurement methods.
- Non-conformance analysis — Patterns in your NCR data that humans miss. Which supplier, which part, which shift, which machine.
- CAPA drafting — First-draft corrective actions based on root cause analysis. Gets you 80% there so your quality team can focus on the engineering judgment.
- SPC interpretation — Reads control charts and flags trends before they become out-of-spec conditions.
- Supplier scorecarding — Automated scoring based on delivery, quality, responsiveness. Pulls data from your ERP and purchase orders.
Purchasing and Supply Chain
- RFQ generation — Takes a BOM and generates formatted RFQ packages for your supplier base, with specs and drawings attached.
- Supplier communication — Drafts and manages routine supplier emails: PO confirmations, delivery follow-ups, quality issues. You review before it sends.
- Lead time tracking — Aggregates lead time data across orders and suppliers. Flags when something is trending late before it hits your production schedule.
Operations
- Production scheduling assistance — Not a full MES replacement, but can help optimize job sequencing based on constraints you define.
- Downtime analysis — Categorizes and trends machine downtime data. Identifies the 20% of issues causing 80% of your lost time.
- Maintenance prediction — If you have sensor or maintenance log data, AI can flag machines that are trending toward failure.
How it actually works
Every build starts with a conversation about your specific workflow. Not a product demo — an actual discussion about what slows your team down, where mistakes happen, and what would make the biggest difference.
From there, I scope a focused v1 — usually one department, one workflow, one pain point. We get it working in your real environment with your real data before expanding.
The AI connects directly to your tools through APIs. ERP data, CAD exports, quality databases, spreadsheets — whatever you're already using. No rip-and-replace.
Data security
Manufacturing data is sensitive — drawings, pricing, supplier information, process parameters. All builds use API-based model access, which means your data is processed but not stored or used for training by the model providers. For ITAR or highly sensitive environments, on-premise deployment options are available.
Try it right now
There's a live manufacturing engineering demo on the home page. Ask it to generate a BOM, review a design for manufacturability, size a tolerance ring, or estimate costs. It runs on a real system prompt — not a marketing mockup.
Want to talk about what AI can do for your operation?