Manufacturing & Industrial

Deploy AI Agents Across Back Office Operations

Trusted by industry leaders to scale operations without increasing manual overhead

87%

Average reduction in manual overhead

1M+

Fortune 500 Agentic jobs processed

Industry Applications

AI agents built for manufacturing workflows

Application
Industrial robots assembling products on a manufacturing line

Purchase order data entry

[01]
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ROI[1.1]

84%
Order entry effort reduced

Summary[1.2]

Extract line items and terms from customer POs and order emails to create clean sales orders inside the ERP.

Inputs[1.3]

Customer POs (PDF/EDI)
Order emails and attachments
Pricing and contract terms
Item master and SKU data
Customer ship-to profiles
ERP validation rules

Actions[1.4]

  1. 01
    Monitor intake channels for new orders.
  2. 02
    Extract line items, quantities, dates, and pricing.
  3. 03
    Validate against item master and contract terms.
  4. 04
    Create sales orders or request missing fields.

Outcomes[1.5]

Faster order-to-production handoff
Fewer re-keying errors and disputes
Consistent order structures for planning
Operators focus on exceptions only
Application
Aluminum cans moving through a production line

Production order scheduling

[02]
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ROI[2.1]

69%
Scheduling cycle time reduced

Summary[2.2]

Convert demand signals into production orders and generate constraint-aware schedules across machines and shifts.

Inputs[2.3]

Demand forecasts and firm orders
BOMs and routings
Machine availability calendars
Changeover constraints
Inventory and WIP status
Labor and shift constraints

Actions[2.4]

  1. 01
    Translate demand into production orders.
  2. 02
    Simulate feasible schedules across lines.
  3. 03
    Balance priorities, changeovers, and capacity.
  4. 04
    Publish schedules and flag constraints.

Outcomes[2.5]

Shorter scheduling cycles
Higher on-time completion
Reduced changeover downtime
Clear capacity visibility for planners
Application
Manufacturing floor with industrial machines

Supplier document processing

[03]
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ROI[3.1]

81%
Supplier docs auto-reconciled

Summary[3.2]

Ingest supplier POs, ASNs, packing lists, and certificates to reconcile receiving and AP records automatically.

Inputs[3.3]

Supplier POs
ASNs and packing lists
Supplier invoices
Certificates of analysis
Receiving logs
ERP vendor master data

Actions[3.4]

  1. 01
    Classify supplier documents and extract key fields.
  2. 02
    Match line items to POs and receiving records.
  3. 03
    Validate quantities, lots, and compliance fields.
  4. 04
    Route exceptions with discrepancy context.

Outcomes[3.5]

Faster receiving and put-away
Fewer PO mismatches and chargebacks
Audit-ready supplier records
Reduced AP exception volume
Application
Bottles moving through a manufacturing line

Quality & compliance documents

[04]
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ROI[4.1]

63%
Compliance review automated

Summary[4.2]

Read quality certificates and compliance docs, validate specs, and trigger non-conformance workflows fast.

Inputs[4.3]

Quality certificates
Inspection results
Regulatory compliance docs
Customer spec sheets
Lot and serial data

Actions[4.4]

  1. 01
    Extract required attributes and tolerances.
  2. 02
    Compare specs to measured results.
  3. 03
    Flag non-conformance and trigger workflows.
  4. 04
    Attach documents to lots and shipments.

Outcomes[4.5]

Reduced compliance review time
Earlier detection of quality issues
Improved traceability across lots
Faster release-to-ship
Success stories

Real impact. Real outcomes. Live across our partner network.

Operator monitoring an automated packaging line
Manufacturing & Industrial
Fortune 500 Packaging Manufacturer
Process manufacturing purchase orders
91%
Manual overhead reduction
350
Customer Purchase Orders monthly
Manufacturing floor with industrial machines
Manufacturing & Industrial
Fortune 500 Manufacturer
Intelligently schedule manufacturing orders
93%
Manual overhead reduction
39,000
orders scheduled weekly
Agentic models supported
OpenAI
Anthropic
Gemini
Llama
xAI
Governed Integrations

AI agents connected directly to your enterprise systems

[01]

Enterprise systems

ERP
TMS
CRM
Accounting
WMS
OMS
[02]

Communication

Outlook
Gmail
Teams
Slack
[03]

Data & Storage

SQL Databases
SharePoint
Data Warehouses
Google Drive
[Scoped permissions][Agent audit trails][Human in the loop][Workflows run safely at scale]
Indicators of High ROI Workflows

How to spot AI agent opportunities

Manual data entry[01]

Which processes still require significant manual data entry or re-keying between systems (ERP, TMS, WMS, CRM, spreadsheets)?

Heavy document processing[02]

Which workflows rely on large volumes of semi-structured documents (invoices, contracts, BOLs, manifests, forms)?

Varying input structure[03]

Which processes rely on inputs with high variance (PDF formats, free-form text, email attachments)?

Email inbox monitoring[04]

Which shared inboxes require constant manual monitoring, triage, and follow-up to keep up with customers, suppliers, or partners?

Repetitive manual tasks[05]

Which rule-based, repetitive tasks drive the most overtime, headcount, or SLA risk?

Highest value targets[06]

Which of these repetitive workflows would drive the most value if an AI agent could run them end-to-end?

Use these indicators to uncover workflows where AI agents can drive down manual overhead.

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