// INDUSTRIAL AI AGENTS & ERP AUTOMATION

Custom AI Agents for US Manufacturers with Live ERP Synchronization.

We engineer autonomous AI agents for American machine shops, industrial equipment fabricators, and contract manufacturers. Automate RFQ quoting from complex CAD blueprints, reconcile supplier purchase order confirmations, and sync bi-directionally with NetSuite, SAP, Epicor, and Infor.

Founder replies within 24 hours. No spam, no obligation.
NetSuite & SAP ERP Sync
CAD & Drawing PDF Extraction
Zero Data Retention SLA
American manufacturing plant operations manager reviewing CAD blueprint on industrial tablet
LIVE ERP INGESTION FEEDACTIVE AGENT
NetSuite ERP • 42 RFQ Line Items Reconciled (0.8s)
// EXECUTIVE SUMMARY & SYSTEM DEFINITION

What is a Manufacturing AI Agent?

A manufacturing AI agent is an enterprise automation system connecting directly to ERP platforms like NetSuite, SAP, Epicor, and Infor. It ingests customer RFQ packages, parses technical specifications from CAD drawings and PDF prints, validates raw material stock and machine run times, and stages approved quote drafts and purchase order reconciliations in seconds with complete audit trails.

85%
Quoting turnaround reduction
100%
Client code & IP ownership
< 20 Min
Average RFQ package assembly
$0
Per-seat recurring user tax
// TAILORED INDUSTRIAL VERTICALS

Engineered for High-Mix, High-Precision Manufacturing

Generic chat tools fail when confronted with complex tolerances, custom tooling requirements, and nested BOM structures. We engineer purpose-built AI workflows tailored to your specific manufacturing trade.

01. PRECISION CNC MACHINING & CONTRACT TOOLING

Automated RFQ Geometry Parsing & Machine Hourly Costing

Machine shop estimating teams spend 15 to 25 hours weekly reviewing PDF drawings, manually extracting raw material dimensions, estimating 3-axis and 5-axis mill cycle times, and calling suppliers for raw bar stock pricing.

Our AI quoting agent ingests CAD drawings and PDF packages, extracts material callouts (such as 6061 Aluminum, 4140 Steel, or Titanium), calculates stock volume, looks up machine rate tables, and generates comprehensive quote summaries in NetSuite or JobBOSS with full engineer approval gates.

Haas & Mazak Rate MatchingSTEP & DWG ExtractionFinishing & Anodizing Lookup
American CNC manufacturing engineer and machinist inspecting machined aerospace turbine component
Industrial equipment supply chain director managing plant inventory and assembly line
02. INDUSTRIAL EQUIPMENT & HEAVY MACHINERY

Supplier Purchase Order Tracking & Promised Date Reconciliations

Custom equipment builds involve hundreds of long-lead purchased components like motors, pneumatic actuators, PLCs, and structural framing. When suppliers email delayed ship dates that sit unread in inboxes, assembly lines face sudden, expensive shutdowns.

Our supply chain AI agent reads supplier order confirmations, pulls promised ship dates, verifies quantities against open purchase orders in SAP or Epicor, and alerts procurement managers to schedule slips before they impact customer delivery milestones.

EDI 855 & PDF IngestionCritical Path Delay Alerts3-Way Invoice Matching
03. ELECTRONICS & PCB ASSEMBLY (PCBA)

Multi-Distributor Component Sourcing & BOM Cross-Referencing

Electronics manufacturing services (EMS) providers receive customer BOMs containing thousands of surface-mount components, ICs, and connectors across disparate manufacturer part numbers (MPNs).

Our electronics sourcing agent queries real-time distributor APIs (including DigiKey, Mouser, Newark, and Arrow) to verify live stock levels, price break points, and factory lead times. It automatically identifies obsolete components and suggests drop-in form-fit-function replacements.

DigiKey & Mouser API SyncLifecycle & EOL DetectionAttrition Rate Costing
Electronics assembly quality control technician inspecting circuit board
Automotive parts warehouse logistics manager using barcode scanner and AI inventory platform
04. AUTOMOTIVE & AEROSPACE TIER 1 SUPPLIERS

EDI 830/862 Forecast Parsing & JIT Production Scheduling

Tier 1 automotive suppliers receive high-frequency EDI 830 planning schedules and EDI 862 daily shipping releases from OEM assembly plants. Manual translation errors cause costly expedites and plant line penalties.

Our AI dispatch agents ingest raw EDI feeds, reconcile cumulative received quantities against shipment histories in your ERP, calculate safety buffer requirements, and generate release schedules directly into NetSuite or SAP.

EDI 830 & 862 IngestionCum Quantity ReconciliationASN Generation Verification
05. PLASTICS INJECTION MOLDING & EXTRUSION

Resin Pellet Indexing, Cavitation Costing & Tooling Triage

Injection molders face volatile resin raw material pricing and complex multi-cavity tooling economics. Calculating shot size, cycle cooling times, runner regrind ratios, and amortization schedules manually slows down bid submissions.

Our plastics quoting agent extracts part volume and wall thickness from 3D CAD models, queries live resin market spot prices (e.g. Polypropylene, ABS, PEEK, Polycarbonate), calculates press tonnage requirements, and structures tiered quotes across single-cavity prototype and multi-cavity production tooling.

Resin Index Spot PricingTonnage & Clamp MatchingMulti-Cavity Amortization
Custom plastics and industrial tooling facility engineer reviewing production schedule
// SYSTEM ARCHITECTURE & INTEGRATION

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 extract title blocks, GD&T tolerances, surface finish callouts, and notes from rasterized and vector PDF engineering drawings.

ARCH-02

Bi-Directional ERP REST & SQL Connectors

Deterministic connectors read live inventory tables, customer price matrices, and machine rate standards from NetSuite, SAP, Epicor, and Infor without manual exports.

ARCH-03

Multi-Tier Bill-of-Materials (BOM) Synthesis

Automated assembly tree breakdown separating raw materials, internal machining steps, outsourced processing, and standard commercial fasteners.

ARCH-04

Dynamic Scrap & Metal Commodity Indexing

Real-time pricing hooks query live metals exchange rates (aluminum, copper, stainless steel) ensuring material margins remain protected in volatile markets.

ARCH-05

Human-in-the-Loop Approval Console

Estimators review complete draft quotes in an intuitive web dashboard with confidence scoring, side-by-side drawing highlights, and one-click ERP publishing.

ARCH-06

Supplier Confirmation Email Triage

Natural language parsing extracts PO numbers, partial shipment quantities, and revised delivery dates from messy vendor email threads and PDF attachments.

ARCH-07

Shop Floor Shift Handover Synthesis

Agents aggregate machine telemetry, operator downtime notes, scrap counts, and open work orders into structured handover briefs for incoming shift supervisors.

ARCH-08

Zero-Data-Retention Security SLA

Proprietary engineering IP and CAD geometries are never stored on public AI models. All inference requests operate under signed non-disclosure agreements.

ARCH-09

ITAR & CMMC Sovereign Cloud Deployment

For defense and aerospace suppliers, models run inside US-sovereign AWS GovCloud or Azure Government enclaves with strict citizen-only access controls.

ARCH-010

100% Client Code & Connector Ownership

You receive full Git repository access, Python backend services, and Docker orchestration files. Zero vendor lock-in or recurring per-seat user fees.

// DEPLOYMENT METHODOLOGY

4-Phase Industrial AI Agent Implementation Roadmap

From CAD sample ingestion to live bi-directional ERP production rollout in 4 to 6 weeks.

PHASE 01 // WEEKS 1-2

ERP Schema & CAD Audit

We map your custom ERP tables, machine center hourly rates, standard raw stock SKUs, and historical quote packages. We establish secure read 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 multi-modal vision extraction on your historical 2D prints and STEP files. We encode your feeds-and-speeds math, setup amortization rules, and secondary finishing vendor matrices into deterministic state machines.

Deliverable: Quoting calculation engine & OCR confidence scores
PHASE 03 // WEEKS 3-4

Approval Console & ERP Staging

We deploy your side-by-side human review console. Estimators review AI-extracted dimensions, verify machine run-time calculations, and test one-click draft quote creation directly inside your live ERP sandbox.

Deliverable: Estimator web dashboard & ERP draft injection
PHASE 04 // WEEKS 5-6

Live Production & Handoff

We route active customer RFQ email inboxes to the production agent pipeline. We conduct staff training, deliver complete Git repository documentation, and execute full code and IP handover to your engineering team.

Deliverable: Full source code, Docker configs & SLA handover
// VENDOR COMPARISON

FactoryJet Custom AI vs. Generic SaaS Quoting Tools

Why enterprise manufacturers choose owned AI infrastructure over restrictive black-box SaaS software.

Capability / FeatureFactoryJet Custom AI AgentGeneric SaaS Quoting SoftwareManual Estimator Process
Average RFQ TurnaroundUnder 20 Minutes1 to 2 Business Days3 to 7 Business Days
CAD & Drawing ParsingDirect Multi-Modal Vision + GD&TBasic Title Block Text OnlyManual Caliper & Ruler Review
ERP Bi-Directional SyncNative NetSuite, SAP, Epicor APIManual CSV Import / ExportDouble Data Entry into ERP
Software Licensing & Fees100% Owned, $0 Per-Seat Fee$500 - $1,500 / seat / month$85k - $120k / estimator salary
Proprietary Data PrivacyPrivate VPC & Zero Data RetentionShared Multi-Tenant CloudInternal Filesystem Only
Bhavesh Barot, Founder & CEO of FactoryJet
Bhavesh Barot
Founder & CEO, FactoryJet
// DIRECT INDUSTRIAL ARCHITECTURE LEADERSHIP

Direct Engineering Oversight with Founder Bhavesh Barot

Industrial systems demand absolute precision. At FactoryJet, founder Bhavesh Barot leads every manufacturing architecture and ERP scoping session personally. We evaluate your current NetSuite or SAP data structures, drawing formats, and quoting bottlenecks in the initial session.

You work directly with senior systems architects who have engineered mission-critical ERP pipelines and enterprise integrations for over a decade. We build reliable, auditable software that your manufacturing enterprise owns and operates forever.

Schedule Direct Strategy Call with Bhavesh

// 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.

Basics & ROI

What is a manufacturing AI agent and how does it operate?

A manufacturing AI agent is an autonomous software system connected to your ERP, CRM, email inboxes, and document repositories. It reads incoming RFQ emails, extracts technical bill-of-materials from CAD or PDF drawings, matches line items to inventory masters, checks real-time machine capacity, and drafts quotes or purchase order reconciliations for human approval.

How fast can our manufacturing plant achieve positive ROI?

Most mid-market US machine shops and contract manufacturers recover their implementation investment within 60 to 90 days. ROI is achieved by reducing RFQ turnaround time from 5 days to 20 minutes, eliminating open PO expediting labor, and preventing costly manual data entry errors into your ERP.

Does the AI agent execute actions autonomously without human review?

No. FactoryJet engineers human-in-the-loop governance for all high-value manufacturing actions. The agent reads raw inputs, computes pricing tiers, checks machine run times, and stages the complete draft transaction inside NetSuite or SAP. Your estimating engineer or purchasing manager simply reviews and clicks approve.

Can the AI agent handle complex multi-tier manufacturing assemblies?

Yes. Our agents parse multi-level bills of materials (BOM), identifying sub-assemblies, raw material stock requirements, outsourced finishing operations like anodizing or heat treating, and standard hardware components across your supplier catalogs.

ERP & Systems Sync

Which ERP systems do your manufacturing AI agents integrate with?

We engineer native REST, SOAP, and direct database connectors for NetSuite, SAP S/4HANA, SAP Business One, Epicor Prophet 21, Epicor Kinetic, Infor CloudSuite Industrial (SyteLine), Microsoft Dynamics 365 Business Central, Acumatica, and JobBOSS.

How does the agent reconcile supplier purchase order acknowledgements?

When suppliers email order confirmations or PDF acknowledgements, the agent extracts the vendor PO number, line item pricing, shipped quantities, and promised ship dates. It compares these directly against the open purchase order in your ERP, automatically updating delivery schedules and flagging price discrepancies.

Can the AI agent read legacy database tables or on-premise servers?

Yes. For manufacturers running legacy SQL Server, Oracle, or AS400 databases behind corporate firewalls, we deploy secure zero-trust proxy agents or direct VPN tunnels that allow the agent to query inventory tables without exposing internal networks to public internet risk.

How does the agent handle custom inventory pricing tiers and contract terms?

The agent queries your ERP customer master record in real time. It retrieves specific contract discounts, negotiated freight terms, minimum order quantities (MOQ), and customer-specific markup rules before generating any quote draft.

Can the AI agent parse multi-level Bill of Materials (BOM) for complex assemblies?

Yes. The agent recursively traverses parent-child BOM assembly trees in your CAD or ERP database, breaking down sub-assemblies, weldments, raw stock cut pieces, standard off-the-shelf catalog hardware (fasteners, bearings, seals), and outside vendor plating processes into individual costed lines.

How do you integrate with older on-premise ERPs that lack modern REST APIs?

For legacy on-premise manufacturing ERPs (such as JobBOSS, Global Shop Solutions, or older SAP/Epicor versions), we deploy secure, local read-only ODBC/JDBC gateway agents or intermediate SQL staging tables behind your local network firewall with zero cloud exposure.

RFQ & Drawing Parsing

How does the AI agent parse engineering drawings and PDF prints?

We build multi-modal vision pipelines that extract title blocks, part numbers, material callouts (such as 6061-T6 Aluminum or 304 Stainless Steel), dimensional tolerances, surface finish requirements, and GD&T notes from scanned PDF prints, DWG, and STEP files.

What happens when an RFQ drawing contains unreadable or ambiguous dimensions?

When extraction confidence scores fall below mathematical safety thresholds, the agent flags the specific callout, generates a human clarification note, and routes the ticket to your senior estimator rather than guessing critical manufacturing dimensions.

Can the agent calculate cycle times and raw material stock costs?

Yes. The agent references your internal feeds-and-speeds tables, standard machine hourly rates, setup times, and live raw material commodity index prices (such as scrap and metal spot prices) to construct accurate cost-plus or market-based quote calculations.

Does the RFQ agent support customer portal submissions and email inboxes?

Yes. Our agents monitor shared sales inboxes (such as [email protected]) as well as customer portals like Coupa, Ariba, and government bidding boards, automatically ingesting RFQ packages as soon as they are posted.

Security & Ownership

Is proprietary CAD and engineering data kept completely private?

Yes. We operate under strict enterprise zero-data-retention agreements. Your proprietary CAD geometry, part numbers, customer lists, and pricing margins are never used to train public LLM models and are encrypted at rest using AES-256 and in transit via TLS 1.3.

Does our manufacturing company own the custom AI agent code?

Yes. You receive 100 percent intellectual property and source code ownership. We deliver the complete Git repository, Python connectors, prompt orchestration scripts, and Docker containers. You never pay per-seat user taxes or runtime vendor licensing.

How do you ensure IT compliance with CMMC and ITAR requirements?

For aerospace and defense manufacturers subject to ITAR or CMMC standards, we deploy AI models within sovereign AWS GovCloud or Azure Government enclaves with strict US-citizen engineering access controls and end-to-end audit logging.

How long does a full manufacturing AI agent deployment take?

A single focused workflow (such as RFQ email extraction or PO date reconciliation) deploys in 3 to 5 weeks. A comprehensive plant-wide integration across quoting, ERP synchronization, and shop-floor scheduling completes in 8 to 12 weeks.

// AUTOMATE RFQS • ZERO SEAT TAXES • 100% CODE OWNERSHIP

Ready to Modernize Your Manufacturing Operations with Custom AI?

Book a 30-minute technical architecture call with our founder. We will evaluate your current ERP database setup, review your drawing package formats, and deliver a fixed-scope implementation proposal within 24 hours.

Book 30-Min Discovery Call
Free quote
Founder replies in 24h