See the Manufacturing Demo
Watch agents monitor production lines, predict failures, and optimize scheduling in real time.
Schedule demo.// Manufacturing
AI agents that run production lines, not just monitor them.
Deploy agents across production lines, equipment monitoring, and supply chains. Get real-time OEE visibility, predictive maintenance, autonomous scheduling, and quality control that prevents defects before they happen — without manual intervention.
OEE MonitoringPredictive MaintenanceQuality ControlSupply ChainProduction SchedulingEquipment Management
35%
Less unplanned downtime
10M+
Data points monitored
90%
Defect detection rate
<3 wks
To production
.// Manufacturing Execution Lifecycle
From sensor data to operational decisions in real time.
Agents ingest data from IoT sensors, PLCs, and SCADA systems, then predict equipment failures, optimize schedules, control quality, and generate work orders. Full lifecycle coverage from sensor ingestion to production output.
AI agents for manufacturing are autonomous systems that monitor production lines, predict equipment failures, optimize scheduling, detect quality defects, and manage supply chain risk. They connect to ERP, MES, SCADA, IoT, and quality management platforms to maintain continuous operational visibility across discrete and process manufacturing environments.
Manufacturing Execution Pipeline · Active
Sensor Ingest
IoT, PLC, SCADA data streams
Active
Context Engine
Unified production data model
Active
Predictive Analysis
Maintenance, quality, demand
Active
Execute & Control
Schedule, route, alert, act
Active
Operation Outputs
OEE, work orders, dashboards
Active
.// OEE Performance Analytics
Equipment effectiveness and production performance at a glance.
Agents aggregate OEE data across every production line — breaking down availability, performance, and quality to surface bottlenecks and drive continuous improvement. Real-time visibility into your factory floor.
Line
Avail
Perf
Qual
OEE
Trend
L-01
92.1%
95.9%
98.7%
87.2%
High
L-02
94.3%
97.2%
99.8%
91.5%
High
L-03
78.4%
88.1%
98.9%
68.3%
Low
L-04
—
—
—
—
Offline
L-05
84.2%
90.1%
98.6%
74.8%
Medium
.// Use Cases
What you can automate across the factory floor.
From quality inspections to supply chain dashboards — see how AI agents solve real problems across discrete and process manufacturing.
Employee IT & HR Helpdesk
Automate internal support for IT tickets, HR policy questions, benefits inquiries, and onboarding tasks. Agents pull answers from internal wikis and escalate to the right team when needed.
Conversational Agents
Voice Quality Inspections & Field Reporting
Field workers report quality checks, safety observations, and maintenance findings by voice. Agents transcribe, categorize, and file structured reports in your compliance system.
Voice AIDocument AI
Automated Invoice Processing
Extract line items, PO numbers, and payment terms from invoices in 90+ formats. Auto-match against purchase orders, flag discrepancies, and route for approval — 85% straight-through processing.
Document AIAgentic BI
Supply Chain Performance Dashboards
Monitor inventory levels, supplier lead times, and fulfillment rates in real time. Agents detect bottlenecks, predict stockouts, and recommend reorder actions before disruptions hit.
Agentic BI
Intelligent Vendor Management
Centralize vendor onboarding, contract tracking, performance scoring, and renewal management. Agents extract terms from agreements, monitor SLAs, and flag underperformance automatically.
Document AIAgentic BIConversational Agents
Automated Employee Onboarding
Orchestrate the full onboarding journey: document collection, system provisioning, policy acknowledgement, training scheduling, and 30/60/90-day check-ins — all managed by AI agents.
Conversational AgentsDocument AI
.// Manufacturing Intelligence Architecture
Every production decision passes through governed execution.
Full audit trail. Safety guardrails enforced. Agents operate under manufacturing governance that operations leaders and regulatory bodies trust.
Manufacturing Intelligence Pipeline · Active
ERP & MES Systems
SAP, Oracle, Siemens Opcenter
Context Engine
Unified production data model
AI Operations
Predict, schedule, optimize
Governance Layer
Safety, compliance, audit
Mfg Outputs
OEE, work orders, reports
Predictive Maintenance
- Vibration analysis
- Failure prediction
- Maintenance scheduling
- Spare parts inventory
Quality Control
- Defect detection
- SPC chart monitoring
- Root cause analysis
- Batch traceability
Supply Chain
- Supplier risk scoring
- Inventory optimization
- Lead time tracking
- Logistics visibility
Production Planning
- Demand forecasting
- Capacity planning
- Shift scheduling
- OEE optimization
Less downtime
35%
Data points monitored
10M+
Decision latency
<200ms
Uptime SLA
99.95%
.// Manufacturing Integration Ecosystem
Connect to your entire factory technology stack.
Assistents integrates with ERP, MES, SCADA, IoT platforms, and more. Agents build a unified production view using our Context Engine.
Category
Systems
Count
Sync Mode
ERP & MES
SAP, Oracle, Siemens Opcenter
12
Bidirectional
IoT & Sensors
Azure IoT, AWS IoT, PTC ThingWorx
10
Bidirectional
SCADA & PLC
Rockwell, Honeywell, Schneider
8
Bidirectional
Quality Mgmt
InfinityQS, ETQ, MasterControl
9
Read + Sync
Supply Chain
Kinaxis, Blue Yonder, Coupa
11
Read + Sync
Analytics
Tableau, Power BI, Grafana
15
Read-only
.// FAQ
Frequently Asked Questions
How does AI improve manufacturing OEE?
AI agents monitor Overall Equipment Effectiveness in real time by tracking availability, performance, and quality metrics across production lines. They identify bottlenecks, predict failures before they occur, and recommend optimizations — increasing OEE by 15-25% on average.
Can AI agents predict equipment failures?
Yes. Predictive maintenance agents analyze sensor data, vibration patterns, temperature readings, and historical failure data from 10M+ data points. They identify degradation patterns and alert maintenance teams before failures occur, reducing unplanned downtime by up to 35%.
How does AI handle quality control?
Quality agents monitor production data in real time, detect defects and anomalies, trace root causes across the production chain, and trigger corrective actions automatically. They achieve 90%+ defect detection rates while reducing manual inspection time.
Can AI agents integrate with SCADA and MES systems?
Yes. assistents connects with SCADA, MES, ERP (SAP, Oracle), CMMS, PLM, and IoT platforms through 65+ pre-built manufacturing connectors. Data stays within your infrastructure with on-premise deployment options for air-gapped environments.
How quickly can manufacturing AI agents be deployed?
Most manufacturing organizations go from initial setup to production in under 3 weeks. We start with a focused use case like predictive maintenance or OEE monitoring, connect to your systems, and validate outcomes before scaling across the plant floor.
.// Get Started
In production in 3 weeks.
Start with predictive maintenance, OEE monitoring, or supply chain intelligence. We'll connect to your systems, enforce your safety controls, and deliver measurable outcomes in weeks.
Connect your factory systems
Explore how assistents integrates with ERP, MES, SCADA, and IoT platforms across your operations.
See integrationsAI Agents vs RPA
Learn why agentic AI outperforms legacy RPA for manufacturing automation, quality control, and supply chain management.
Read the comparison