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SECTORAGENT
Deep Vertical Agentic AI · Manufacturing

Production-grade AI workflows. Not another chatbot.

SectorAgent assembles specialized agents into repeatable, governed operational workflows — purpose-built for $50M–$250M manufacturers, integrated with the ERP, MES, CMMS, and IoT systems you already run. Deploy managed (live in days) or self-hosted (live in weeks).

Contact usSee the workflows

SOC2 · HIPAA-ready · GDPR · Managed or self-hosted

Workflow · Invoice-to-PO matching● Running
  1. 01 / Ingest

    Document Intelligence

    PDFs, scans, 2D/3D drawings

  2. 02 / Extract

    Specs, part numbers, PII masked

    Extraction with masking before any external call

  3. 03 / Match

    Fuzzy match to your ERP (SAP / Oracle)

    Matched against your own pricing and part data

  4. 04 / Approve

    Human-in-the-loop

    Sign-off · full audit log

Example built on the Document Intelligence workflow

See how this works →
Built with input from manufacturing operations teams

01 — The Problem

Manufacturing workflows are stuck in the gap.

Mid-market manufacturers ($50M–$250M) face compounding operational friction that generic AI tools were never designed to solve.

  • A

    High-friction workflows

    Critical processes are buried in documents, phone calls, machine data, and manual inspection steps — producing slow cycles and inconsistent outputs.

  • B

    Limited in-house AI expertise

    Most mid-market firms lack dedicated AI or data-science teams. Experimentation stalls without the internal capacity to operationalize it.

  • C

    Generic tools require too much work

    Horizontal AI platforms are built for broad use cases. Adapting them to manufacturing-specific workflows demands custom development most organizations can't sustain.

  • D

    Fragmented system landscape

    Data and processes are scattered across ERP, MES, CMMS, email, and plant data sources — with no unified operational layer connecting them.

65% of manufacturers still operate on legacy systems, 47% cite data fragmentation, and 43% cite upfront cost and expertise barriers as primary adoption obstacles (respondents could select multiple factors).

02 — The Platform

Not a chatbot. Not a generic automation layer.

SectorAgent is a marketplace of pre-built, production-grade agentic workflows — not a framework you build from scratch. Specialized agents are assembled into repeatable operational workflows, with governance and human oversight built in at every level.

01Agent Store

Versioned, reusable agents

Modular AI building blocks, each purpose-built for a specific manufacturing task. Independently deployable, discovered and composed through a structured catalog.

02Workflow Builder

Assemble agents into sequences

The Workflow Builder composes agents into governed, repeatable operations — with human-in-the-loop approval gates at configurable checkpoints and audit logging on every step.

03Connectors & Deployment

Integrate and go live

Prebuilt and custom connectors link workflows directly to your backend systems. Deploy as managed SaaS or self-hosted inside your own infrastructure.

04Governance & Oversight

Woven through every layer

Woven through every layer — transparency, audit logging, confidence scoring, and human control over outcomes.

Explore the full platform architecture →

03 — Workflows

Start with your highest-friction workflow.

Two flagship workflows are built and live today — log in to try them. Live deployments to date are in rubber manufacturing; other sub-sectors are scoped per engagement. Three more are on the build plan below, and fourteen are specified in the catalog.

Flagship · Workflow 01Built · Live

Document Intelligence

Manufacturing runs on documents — engineering drawings, spec sheets, inspection reports, supplier files. The Document Intelligence Agent turns unstructured bundles into structured, confidence-scored part data, routing low-confidence fields to human review.

  • Ingests PDFs, scans, and 2D engineering drawings (3D model file support on the roadmap)
  • Extracts specs, dimensions, tolerances, materials
  • Confidence scoring on every extracted field
Log in to try itSee the full workflow
Before → After

▨ Before

Unstructured bundle — PDFs, scans, mixed formats. Manual re-entry required.

▣ After

Structured part-spec dataset — validated, confidence-scored, system-ready.

Flagship · Workflow 02Built · Live

Quotes Generation Workflow

Responding to RFQs is one of the highest-friction workflows in manufacturing sales. Estimators spend hours reviewing documents and pulling historical data. SectorAgent automates the full sequence — from document intake to ERP-logged draft quote.

  • Speed

    RFQ response: 3–10 days → under 4 hours (standard), under 30 minutes for simple parts

  • Consistency

    Same logic, every quote

  • Estimator value

    Review & approve in 15–30 minutes, not hours of manual data gathering

Log in to try itSee the full workflow
The Sequence · RFQ → Draft Quote
  1. Ingest RFQ
  2. Extract specs
  3. Compute geometry
  4. Fetch costs
  5. Human review gate — required before dispatch
  6. Draft quote → logged in ERP
In development · specified before they ship
Coming soon

Call Center Triage

Classifies, resolves, and escalates inbound service and order inquiries using live ERP, CRM, and order data — so your team handles only what truly needs a human.

Join the waitlist →
Coming soon

Predictive Maintenance

Continuously monitors IoT, PLC, and SCADA data to surface early failure signals before threshold breach — triggering CMMS work orders with human approval.

See the specification →Join the waitlist →
Coming soon

Quality Control & Defect Detection

Embeds inspection intelligence into production lines, links defect signals to machine state and batch context, and loops into the maintenance workflow.

Join the waitlist →
See all 14 workflows and their specifications →

04 — Connectors

Connect to the systems you already run.

SectorAgent wraps around your existing stack — no rip-and-replace. Prebuilt connectors cover the common manufacturing landscape; custom connectors handle proprietary and legacy systems.

See connector coverage & deployment →
  • ERP

    SAP · Oracle · Microsoft Dynamics · Epicor

  • CRM

    Salesforce · HubSpot

  • Operations

    CMMS · MES · QMS platforms

  • Data & Docs

    Document storage · Email · File shares

  • Plant Data

    IoT brokers · SCADA · PLC data streams

    Protocols: OPC-UA, Modbus, MQTT.

  • PLM/CAD

    PLM systems · CAD file drops

05 — Deployment

Deploy the way your business requires.

The same workflow architecture, two deployment paths. No capability gap — and migration from managed to self-hosted is supported.

Option A

Managed SaaS

SectorAgent hosts and operates the platform. Faster time-to-value, lower IT burden.

  • Fastest path to a live workflow
  • Zero infrastructure to maintain
  • Managed updates & monitoring

Typical setup: 1–3 days for connector configuration and template setup.

Option B

Self-Hosted

Deploy inside your own infrastructure. Full data control and security posture.

  • Credentials & data never leave your perimeter
  • Private connectors run in your environment
  • Portable config across deployment modes

Typical setup: 1–2 weeks for Kubernetes deployment and connector configuration.

06 — Governance & Security

A glass-box system. Every step visible.

Transparency before autonomy. Every decision, assumption, and cost is visible and auditable, and deployed changes are versioned with rollback support — built for the compliance and security teams that gate AI adoption.

Human-in-the-loop

Configurable approval gates keep critical decisions human-led.

Immutable audit trail

Every prompt, decision, and override logged and time-ordered, with versioned rollback of deployed changes.

PII detection & masking

Sensitive data masked before any external LLM call, with Policy Agent veto.

Confidence scoring

Low-confidence outputs route to human review before progressing.

Compliance
  • SOC2 Type II
  • HIPAA-readyin progress
  • GDPR
  • FedRAMPin progress
Read the governance model →

07 — ROI

Measure ROI at the workflow level.

Estimate the impact of automating one document-heavy workflow — invoice matching, RFQ intake, or inspection reports. Illustrative, based on your inputs and the assumptions shown.

Your current state
3,000
20010,000
12 min
2 min30 min
$40/hr
$20$90

Assumes ~80% of volume auto-processed, remainder human-reviewed. Platform + model cost estimated illustratively; your figure is confirmed during scoping.

Projected annual impact

Estimated net annual savings

$211.3K

Hours saved / year

5,760

Labor cost avoided

$230.4K

Est. platform + model cost / year$19,080
Get a detailed analysis

Illustrative only. Figures are modelled estimates, not a quote or a guarantee of results.

What impressed me most was the integration with our legacy SAP system. I expected months of custom development, but SectorAgent connected in weeks.
Robert Martinez · Procurement Manager · Industrial Solutions Ltd.

08 — Getting Started

From experimentation to operation.

Start with one workflow. Prove ROI. Expand across the factory floor and back office.

  1. 01

    Identify one workflow

    Your highest-friction process — quoting, maintenance, quality, or triage.

  2. 02

    Deploy & integrate

    Connect existing systems. Managed (live in days) or self-hosted (live in weeks) — either way, faster than a quarter-long custom build.

  3. 03

    Prove ROI

    Measure speed, accuracy, and labor reduction at the workflow level.

  4. 04

    Expand

    Compose additional agents. Deploy new workflows across the operation.

Contact usLog in to the app