Manufacturing AI Agents for Quoting and ERP Automation.
We build AI agents for American machine shops, equipment fabricators, and contract manufacturers. The agent reads RFQs and CAD drawings and drafts the quote. It reconciles supplier purchase orders. Then it writes each draft into NetSuite, SAP, Epicor, or Infor for your team to approve.

What is a Manufacturing AI Agent?
A manufacturing AI agent is software that connects directly to your ERP, such as NetSuite, SAP, Epicor, or Infor. It reads incoming RFQ packages from customers. It pulls the specs straight off CAD drawings and PDF prints. It checks your raw material stock and rate tables. Then it stages a draft quote or PO reconciliation, with a full audit trail, for a person to approve. We confirm the exact sources, file formats and connector actions with you in discovery.
Need an agent that only reads your ERP, CMMS, and historian to answer floor questions and draft shift handovers, and never writes back? Read about our manufacturing operations agent instead.
US manufacturers had 529,000 open jobs as of May 2026, per the National Association of Manufacturers. In Deloitte's 2026 Manufacturing Industry Outlook, more than a third of executives surveyed named the workforce skills gap their top concern. An AI agent will not replace a missing estimator. It clears the backlog piling up on their desk.
Engineered for High-Mix, High-Precision Manufacturing.
Generic chat tools break down against real tolerances, custom tooling, and nested BOM structures. We build AI workflows for your specific manufacturing trade instead.
Automated RFQ Geometry Parsing & Machine Hourly Costing.
Machine shop estimators spend 15 to 25 hours a week on quoting. They review PDF drawings by hand. They estimate 3-axis and 5-axis mill cycle times. Then they call suppliers just to get raw bar stock pricing.
Our AI quoting agent reads the CAD drawings and PDF packages instead. It pulls out material callouts, like 6061 aluminum, 4140 steel, or titanium. It calculates stock volume and checks your machine rate tables for Fanuc, Haas, and Mazak controls. Then it drafts a full quote summary in NetSuite or JobBOSS, ready for your engineer to approve.
- Fanuc, Haas & Mazak Rate Matching
- STEP & DWG Extraction
- Finishing & Anodizing Lookup


Supplier Purchase Order Tracking & Promised Date Reconciliations.
Custom equipment builds use hundreds of long-lead parts, like motors, pneumatic actuators, PLCs, and structural framing. Suppliers often email a delayed ship date that just sits in an inbox. Nobody reads it in time. The assembly line shuts down.
Our supply chain AI agent reads every supplier order confirmation as it arrives. It pulls the promised ship date and checks the quantity against your open PO in SAP or Epicor. If a date slips, it alerts your procurement manager right away, giving them real supply chain visibility before the delay hits a customer delivery milestone.
- EDI 855 & PDF Ingestion
- Critical Path Delay Alerts
- 3-Way Invoice Matching
Multi-Distributor Component Sourcing & BOM Cross-Referencing.
Electronics manufacturing services (EMS) providers get customer BOMs with thousands of lines. Each line is a surface-mount component, IC, or connector, tagged with its own manufacturer part number (MPN).
Our electronics sourcing agent checks live distributor APIs, including DigiKey, Mouser, Newark, and Arrow. It verifies stock levels, price breaks, and factory lead times in real time. When a part is obsolete, it flags this and suggests a drop-in replacement with the same form, fit, and function.
- DigiKey & Mouser API Sync
- Lifecycle & EOL Detection
- Attrition Rate Costing


EDI 830/862 Forecast Parsing & JIT Production Scheduling.
Tier 1 automotive suppliers get EDI 830 planning schedules and EDI 862 shipping releases from OEM plants, often several times a day. A manual translation error here is expensive. It can trigger a rush shipment fee or a plant line penalty.
Our AI dispatch agent reads the raw EDI feed as it comes in. It checks cumulative received quantities against your shipment history in the ERP. That includes barcode scanning and RFID tracking data from the receiving dock. It calculates your safety buffer, then writes the release schedule straight into NetSuite or SAP.
- EDI 830 & 862 Ingestion
- Cum Quantity Reconciliation
- ASN Generation Verification
Resin Pellet Indexing, Cavitation Costing & Tooling Triage.
Injection molders deal with resin prices that swing week to week, plus complex multi-cavity tooling costs. Working out shot size, cooling time, regrind ratios, and amortization by hand is slow. It delays every bid.
Our plastics quoting agent pulls part volume and wall thickness straight from the 3D CAD model. It checks live resin spot prices for materials like polypropylene, ABS, PEEK, and polycarbonate. It calculates the press tonnage you need. Then it builds tiered quotes, from a single-cavity prototype up to full multi-cavity production tooling.
- Resin Index Spot Pricing
- Tonnage & Clamp Matching
- Multi-Cavity Amortization

Which ERP, MES, and Shop-Floor Systems We Connect To.
Every plant runs different software on the floor and in the back office. These are the systems we build connectors for and what each connection does. Before a connector goes into a proposal, we check your edition, API access and permissions.
ERP & Business Systems.
- NetSuite: real-time inventory, MRP (material requirements planning), work orders, and quote-to-cash sync.
- SAP S/4HANA and SAP Business One: material master data and production order sync.
- Epicor Prophet 21 and Epicor Kinetic: job costing and shop scheduling integration.
- Infor CloudSuite Industrial (SyteLine): work order and inventory sync for discrete manufacturers.
- Microsoft Dynamics 365 Business Central: quote, sales order, and inventory sync for mid-market shops.
- Acumatica: cloud-native ERP sync for multi-entity manufacturers.
- JobBOSS and Global Shop Solutions: legacy shop-floor ERP sync through a secure gateway.
Shop-Floor, MES & SCADA.
- Siemens Opcenter: manufacturing execution system (MES) data for work order status, genealogy, and production line changeovers.
- Rockwell Automation and Allen-Bradley: PLC and SCADA telemetry for machine state and downtime.
- Ignition SCADA and Kepware: OPC-UA and Modbus gateways for real-time machine data.
- Plex, IQMS (DELMIAworks), and MachineMetrics: cloud MES and overall equipment effectiveness (OEE) data for scheduling agents.
- Tulip: frontline operations data for digital work instructions and quality control checks.
Sourcing, EDI & Distributor APIs.
- DigiKey, Mouser, Newark, and Arrow: live stock, price break, and lead-time APIs.
- EDI 830, 850, 855, 856, 860, and 862: planning, order, and shipping transaction sets.
- Coupa, Ariba, and government bidding portals: RFQ package ingestion for customer procurement systems.
Running something else? We scope a connector against its own API or database schema, or build an ODBC/JDBC gateway where no API exists.
Next step
Wondering how this maps to your ERP and drawings?
Send us a sample RFQ package and your NetSuite, SAP, or Epicor setup. We'll show exactly where the agent reads, writes, and stops for your team's approval.
Enterprise Industrial AI Engineering Blueprint.
How we architect secure, deterministic, and fault-tolerant AI agents for American manufacturing operations.
- ARCH-01
Multi-Modal CAD & Drawing Vision Pipeline.
High-resolution OCR and vision models read your PDF engineering drawings. They pull out title blocks, GD&T tolerances, surface finish callouts, and handwritten notes, from both scanned and vector files.
- ARCH-02
Bi-Directional ERP REST & SQL Connectors.
Rule-based connectors read live inventory tables, customer price matrices, and machine rate standards straight from NetSuite, SAP, Epicor, and Infor. Nobody has to run a manual export.
- ARCH-03
Multi-Tier Bill-of-Materials (BOM) Synthesis.
The agent breaks down the assembly tree on its own. It separates raw materials, internal machining steps, outsourced processing, and standard fasteners into their own costed lines.
- ARCH-04
Dynamic Scrap & Metal Commodity Indexing.
Live pricing hooks check current metals exchange rates for aluminum, copper, and stainless steel. That keeps your material margin protected even when the market moves fast.
- ARCH-05
Human-in-the-Loop Approval Console.
Your estimator reviews the full draft quote in a simple web dashboard. It shows a confidence score and highlights the drawing side by side with the quote. One click publishes it to your ERP.
- ARCH-06
Supplier Confirmation Email Triage.
The agent reads messy vendor emails and PDF attachments the way a person would. It pulls out the PO number, the partial shipment quantity. The revised delivery date.
- ARCH-07
Data Handling Agreed in Writing.
Before any sensitive file is connected, we document the data flow, the model provider terms, who has access and how long data is kept. An NDA alone does not cover that.
- ARCH-08
Built Inside Your Compliance Boundary.
Restricted technical data stays out of the workflow until your compliance and security owners approve the people, infrastructure and data flows. A cloud region does not make a deployment compliant.
- ARCH-09
100% Client Code & Connector Ownership.
You get the full Git repository, the Python backend services. The Docker orchestration files. There is no vendor lock-in and no per-seat fee.
4-Phase Industrial AI Agent Implementation Roadmap.
From your first CAD sample to a live, two-way ERP rollout, in 4 to 6 weeks.
- PHASE 01 // WEEKS 1-2
ERP Schema & CAD Audit.
We map your ERP tables, machine center hourly rates, raw stock SKUs, and past quote packages. Then we set up secure, read-only access to your NetSuite, SAP, or Epicor sandbox.
Deliverable: API connector schema & GD&T extraction baseline - PHASE 02 // WEEKS 2-3
Vision Pipeline & Quoting Logic.
We train the vision model on your own 2D prints and STEP files. We also encode your feeds-and-speeds math and setup amortization rules. That becomes a rule-based state machine, so pricing logic works the same way every time.
Deliverable: Quoting calculation engine & OCR confidence scores - PHASE 03 // WEEKS 3-4
Approval Console & ERP Staging.
We deploy your human review console, with the drawing and the AI's reading side by side. Your estimator checks the extracted dimensions and the machine run-time math. Then they test one-click quote creation right inside your live ERP sandbox.
Deliverable: Estimator web dashboard & ERP draft injection - PHASE 04 // WEEKS 5-6
Live Production & Handoff.
We connect your live customer RFQ inbox to the production agent. We train your staff and hand over the full Git repository with documentation. Code and IP ownership transfer to your engineering team in full.
Deliverable: Full source code, Docker configs & SLA handover
Custom AI Agent vs. Quoting Software vs. Manual Quoting.
Three ways to get a quote out of the door, compared on the five things that decide the choice. Test any of them on your own drawings and ERP before you commit.
| Capability / Feature. | FactoryJet Custom AI Agent | Quoting Software | Manual Estimator Process |
|---|---|---|---|
| RFQ Turnaround. | Draft quote staged for estimator approval as the RFQ arrives | Depends on the product. Test it on your own RFQs. | Set by estimator workload. |
| CAD & Drawing Parsing. | PDF and scanned prints, each value linked to its place on the drawing | Check which formats the product reads. | Estimator reads every print. |
| ERP Bi-Directional Sync. | Connector built for your ERP edition, with approved drafts written back | Check the product’s connector and whether it can write. | Quotes re-keyed into the ERP by hand. |
| Software Licensing & Fees. | You own the code. No per-seat fee from us | Per-seat or usage subscription. Check current pricing. | Estimator time on every quote. |
| Proprietary Data Privacy. | Deployment and data terms agreed in writing before access | The vendor’s cloud. Check hosting and retention settings. | Your existing file shares and permissions. |

Direct Engineering Oversight with Founder Bhavesh Barot.
Industrial systems need precision. At FactoryJet, founder Bhavesh Barot leads every manufacturing architecture and ERP scoping session in person. In the first session, we look at your NetSuite or SAP data, your drawing formats, and where your quoting process slows down.
You work directly with senior systems architects. They have built ERP pipelines and enterprise integrations for over a decade. We build reliable, auditable software, and your company owns and runs it forever.
Explore Our Granular Industrial AI Capabilities.
RFQ Bidding & Quoting Agent →.
Inbound RFQ parsing from email, PDF drawing packages, buyer portals, and EDI 840.
Procurement & Supply Chain Agent →.
Supplier order confirmation triage, promised-date reconciliation, and ERP PO sync.
Manufacturing Operations Agent →.
Read-only answers from ERP, CMMS, and historian data: shift handovers, downtime rollups, and maintenance request triage.
If you are comparing suppliers, see AI agent development companies for manufacturers compared, a list that includes us. If you work in construction, see AI agents for contractors and building suppliers.
// MANUFACTURING AI QUESTIONS & ANSWERS
Frequently Asked Questions on Manufacturing AI Agents
Everything plant managers, operations executives, and chief estimating engineers need to know about ERP sync, drawing parsing, and code ownership.
Topics
Can’t find your answer?
Talk to the founderBasics & ROI
What is a manufacturing AI agent and how does it operate?
A manufacturing AI agent is software that connects to your ERP, your email inbox and your document files and does a defined job from start to finish. It reads an incoming RFQ email, pulls the line items and specs off the drawing or PDF, checks them against your inventory and price rules, and drafts a quote or a PO reconciliation. A person approves the draft before anything is sent or posted. The pricing maths runs in ordinary code, so the model never guesses a number.
How fast can our manufacturing plant achieve positive ROI?
It depends on your RFQ volume and how much quoting and PO work moves to the agent, so we measure it with you and do not promise a date. Before the pilot we record how many RFQs you handle, how long each takes and how often a quote needs correcting. After it, we compare the same numbers. The gains come from three places: faster RFQ turnaround, less time chasing open POs and fewer keying errors in the ERP.
How much does a manufacturing AI agent cost?
As a market reference, development firm ProductCrafters puts 2026 custom AI agent builds at about $5,000 to more than $180,000. For a manufacturer, the price depends mostly on how many systems the agent reads and writes to, how many drawing formats it must handle and how many exceptions your quoting rules have. FactoryJet quotes a fixed price in writing after a short scoping call. A pilot on one workflow is the cheapest way to learn what a full build needs.
Does the AI agent execute actions autonomously without human review?
No, not on anything that commits money. The agent reads the inputs, works out the pricing and stages a full draft in your ERP. Your estimator or purchasing manager reviews it and approves. Read-only lookups can run unattended. The approval step is enforced in the software and in the connector's permissions, so the model cannot skip it.
Can the AI agent handle complex multi-tier manufacturing assemblies?
Yes, when your BOM data has clear part numbers and parent-child links. The agent reads a multi-level bill of materials and gives each sub-assembly, purchased part and outside process such as anodizing or heat treating its own costed line. Your estimator can see what drives the total and change one line without re-quoting the whole assembly. Missing components and unclear revisions go to the estimator before the quote is approved.
Do you support manufacturers running separate ERP instances across multiple plants?
Yes. Where each plant runs its own NetSuite or SAP instance, or a mix of systems after an acquisition, we build one agent layer on top. It routes each RFQ and PO reconciliation to the right plant by customer, part number or ship-from location. We scope each ERP separately and start with one plant. If the agent cannot tell which plant a request belongs to, it asks a person and never writes to a default instance.
Can we hire AI agent developers for factory automation?
Yes, if you mean the office work around the factory, such as RFQs, drawings, quotes, purchase orders and ERP entry. We build AI agents for that work. Factory automation more often means machines on the shop floor, such as PLCs (machine controllers) and robots. We do not program those. For that, hire a control system integrator. The Control System Integrators Association, founded in 1994, lists them in its Find an Integrator directory. Our ERP AI agents page covers Odoo, NetSuite, SAP Business One and ERPNext, and our manufacturing architecture guide shows how RFQ quoting and ERP sync are built.
Do you offer AI consulting for workflow automation in manufacturing companies?
Yes, for the paperwork around production. We start with one workflow, such as RFQ to quote or supplier order confirmation to ERP. We record how many you handle and how long each takes, then check your ERP edition, API access and permissions in a sandbox. Our AI consulting page covers the readiness assessment and roadmap. Our NetSuite AI agents and Odoo AI agents pages list what each ERP's built-in AI already does. For plant-wide advice, NIST says its Manufacturing Extension Partnership has nearly 1,400 advisors at more than 450 service locations for small and medium-sized manufacturers.
ERP & Systems Sync
Which ERP systems do your manufacturing AI agents integrate with?
We build connectors for NetSuite, SAP, Epicor, Infor, Odoo and Microsoft Dynamics 365, and for other ERPs that expose an API. Before we quote, we check your edition, API access, licences and permissions in a sandbox. If your system has no API, or is heavily customised, we look at file exports or a read-only database link and agree that route with your IT team first.
How does the agent reconcile supplier purchase order acknowledgements?
When a supplier emails an order confirmation or a PDF acknowledgement, the agent reads it and pulls out the PO number, line prices, quantities and promised ship date. It compares those with the open PO in your ERP and flags any difference in price, quantity or date. Your purchasing rules decide which changes it may stage and which need a buyer to review. Duplicate emails and partial shipments are tested before any update is switched on.
Can the AI agent read legacy database tables or on-premise servers?
Yes. For SQL Server, Oracle or AS400 systems behind your firewall, the agent connects through a gateway or VPN that your IT team approves. It starts with narrow, read-only access, and every record it retrieves is logged. Your internal database is never exposed directly to the public internet.
How does the agent handle custom inventory pricing tiers and contract terms?
The agent pulls the customer's contract discount, freight terms, minimum order quantity and any customer-specific markup from your ERP before it drafts a quote. It does this on every quote, so a contract updated mid-year is used on the next one. Fixed rules apply the terms, and the quote records which version it used. A missing discount, or two terms that disagree, goes to a person as a question.
Can the AI agent parse multi-level Bill of Materials (BOM) for complex assemblies?
Yes. The agent walks the parent-child BOM tree in your ERP and breaks an assembly into sub-assemblies, weldments, cut stock, catalog hardware and outside processes, each as its own costed line. It keeps going until it reaches a purchased part. It needs reliable part numbers, units and revisions to do that, so we check your BOM data in discovery. Both the line items and the rolled-up total are validated before go-live.
How do you integrate with older on-premise ERPs that lack modern REST APIs?
For older on-premise systems such as JobBOSS, Global Shop Solutions or early SAP and Epicor versions, we use a route your ERP vendor supports: a read-only ODBC or JDBC gateway, or a SQL staging table, behind your firewall. The gateway exposes only the fields a workflow needs, such as part numbers and open PO lines. We confirm licences with your ERP administrator first and never write directly to undocumented ERP tables.
Does the agent support AS9100 or IATF 16949 quality documentation requirements?
Yes, for the paperwork. AS9100 and IATF 16949 are quality standards for aerospace and automotive suppliers. The agent can attach the documents your quality team specifies, such as material certifications, first-article inspection reports and lot traceability records, to each quote or PO record, and flag a missing certificate before the quote goes out. It handles documents. It does not certify your plant or replace your quality system.
RFQ & Drawing Parsing
How does the AI agent parse engineering drawings and PDF prints?
The agent reads PDF prints and scanned drawings and pulls out the title block, part number, material callouts such as 6061-T6 aluminum, tolerances and finish notes. Each value keeps a link to where it sits on the drawing, so your estimator can check it without re-reading the whole print. Accuracy depends on drawing quality, so we test on your own prints first. Critical dimensions and tolerances are always confirmed by a person.
What happens when an RFQ drawing contains unreadable or ambiguous dimensions?
The agent never guesses a critical dimension. If a callout is unreadable or two values conflict, it leaves that field unresolved, blocks the affected calculation and sends the estimator the exact spot on the drawing with its question. The estimator confirms or corrects it, and the quote moves on. We test this on your hardest drawings before go-live.
Can the agent calculate cycle times and raw material stock costs?
Yes, from your own numbers. The agent uses your feeds-and-speeds tables, machine hourly rates and setup times to estimate cycle time, and your approved material prices to cost the stock. If you subscribe to a metals price feed, it can use that on a schedule you set. Every quote records which rate table and price date it used, and the line costs are checked against estimator-approved examples before go-live.
Does the RFQ agent support customer portal submissions and email inboxes?
Yes for shared inboxes such as rfq@yourcompany.com, where a new email starts the work at once. Customer portals vary. Where a portal has an API, the agent uses it. Where it only has a login, we set up a scheduled check if the portal's terms allow automated access, and a manual handoff if they do not. You choose the check interval, and the agent alerts you when a check fails.
Can the agent handle RFQs that arrive as native CAD files instead of PDFs, such as SolidWorks or Inventor assemblies?
Sometimes, and we check before we promise it. PDF and scanned prints are the standard route. Native SolidWorks, Inventor or NX files depend on the exact format, software version and licence, so we test extraction on a sample of your assemblies during discovery. If native parsing is not reliable for your files, we agree an export step, such as STEP or PDF, or a manual review path.
Security & Ownership
Is proprietary CAD and engineering data kept completely private?
We agree that with you in writing before any file is connected. Together we document which CAD and customer data leaves your environment, which model provider sees it, how long it is kept and who can access it. We confirm the provider's no-training and retention terms for your account before sensitive files are sent. If your drawings must not leave your network, tell us at the start so the design is built around that.
Does our manufacturing company own the custom AI agent code?
Yes. You own everything we build for you: the code in your own Git repository, the connectors, the prompts, the test sets and the documentation. There is no per-seat or per-agent license fee from us. You pay model providers and your ERP and CAD vendors directly, and those costs continue after handover. You can keep us on for support, bring the work in-house or hand it to another team.
How do you ensure IT compliance with CMMC and ITAR requirements?
Your compliance and security owners set the boundary, and we build inside it. They decide which data is export-controlled, which people may access it and which cloud services are allowed. Until they approve a deployment, restricted technical data stays out of the workflow. A cloud region does not make a system ITAR compliant, and an AI agent does not earn a plant its CMMC level.
How long does a full manufacturing AI agent deployment take?
A pilot on one focused workflow, such as RFQ email extraction or PO date reconciliation, usually takes two to four weeks. A production build with permissions, logging, approvals and monitoring usually takes six to twelve weeks. ERP access is the biggest variable. A plant that hands over sandbox and API credentials in week one moves fastest. Native CAD files, restricted data and several ERP instances add time.
What happens to the agent and its data if we end the engagement?
You keep everything. The code, connectors, prompts and documentation are already in your Git repository, and your ERP and infrastructure stay under your control throughout. Ending the engagement means we stop billing, hand over any remaining documentation and transfer any hosting or credentials we were managing for you. Third-party accounts such as your ERP, CAD and model provider stay yours.
Ready to Automate Quoting and ERP Updates with Custom AI?
Book a 30-minute technical architecture call with our founder. We will look at your ERP setup and your drawing formats. Then we send a fixed-scope proposal within 24 hours.