Build the Factory of the
Future Through Smart
Manufacturing with AI
Bridge engineering, production and the shop floor with manufacturing solutions built on Oracle, connected data and governed AI.
Build the Factory of the
IT Solutions for Manufacturing
THE IMPACT
The Math Behind Smart Manufacturing Solutions
Connect fragmented systems to unlock true facility intelligence with proven IT solutions for manufacturing.
Bottleneck 01
Failures nobody saw coming
Reactive maintenance exposes production lines to unexpected failures and costly downtime.
30–50%
less unplanned downtime*
Bottleneck 02
Servicing on the calendar
Fixed maintenance schedules lead to replacing parts before their useful life ends.
25%
lower maintenance costs*
Bottleneck 03
Wear that goes undetected
Undetected equipment degradation reduces asset life and increases failure risks.
20–40%
Asset Longevity*
Bottleneck 04
Proving value before scaling
Predictive maintenance needs measurable returns to justify expansion across plants.
10:1–30:1
ROI within 12–18 months*
THE LOAN LIFECYCLE
Build Intelligence Across the Value Chain with
AI Manufacturing Solutions
Enhance right-first-time quality and supply chain resilience with AI for manufacturing, connected across design, sourcing, production and service.
01
Design & Engineering
Faster, more accurate product launches with fewer downstream engineering changes.
Document Control
AI/ML Engineering
KEY CAPABILITIES
- PLM, ERP and Maintenance Cloud integration
- Digital twin-informed design
- Intelligent engineering document control
- Engineering change control
- Real-time product costing
- AI/ML models for design and engineering data
02
Procurement & Supply Chain
A supply chain that senses risk and responds proactively.
Powered by: Oracle SCM & Procurement Cloud, Agentic CLM, Intelligent Integration
Agentic CLM
Intelligent Integration
KEY CAPABILITIES
- ML-driven demand sensing and forecasting
- Supplier and partner system integration
- Supplier and dealer contract obligation tracking
- Contract intake and renewal management
- Procurement workspace modernization
- Vision AI for inbound inspection
03
Production & Quality
Higher OEE and right-first-time quality on the shop floor.
Powered by: Vision AI, Oracle OPM & MRP, Agentic QE, Data Engineering
Vision AI
Agentic QE
KEY CAPABILITIES
- Real-time visual quality inspection
- Quality inspection standards advisor
- Production planning with OPM and MRP
- Production, IoT and ERP data engineering
- Safety and PPE monitoring
- Automated testing of plant software releases
04
Service & Maintenance
Higher asset uptime and new recurring service revenue.
Powered by: Oracle Maintenance Cloud, Agentic AI Enterprise Search, Intelligent Managed Services, Sovereign AI, AI Factory
Predictive maintenance
Enterprise Search
KEY CAPABILITIES
- Maintenance advisor agents
- Service lifecycle intelligence
- Unified search across manuals and service history
- Predictive maintenance alerts
- Ongoing platform and application operations
AI FOR MANUFACTURING
AI for Manufacturing, Applied to Real
Plant Workflows
Smart manufacturing with AI works when each capability is engineered around a measurable workflow, with people approving the decisions that matter. Select an area to see how it works and the use cases it covers.
Vision AI for Quality and Safety
Cameras and Vision AI inspect products and monitor safety in real time, feeding detections into enterprise workflows.
Inputs
Line cameras and
product images
AI
Detects defects,
foreign objects and PPE gaps
Output
Alerts, quality records and held batches
Human checkpoint
Quality lead confirms disposition
Use cases
- 01
Real-time defect inspection
Inspect every unit on the line instead of sampling.
- 02
OCR for labels and codes
Read and verify labels, codes and serials automatically.
- 03
Foreign-object detection
Catch contaminants and stray objects before they ship.
- 04
PPE compliance monitoring
Flag missing protective equipment in safety zones.
AI for Maintenance and Service
Maintenance advisor agents turn machine signals and service history into planned, parts-ready work.
Inputs
Sensor data,
maintenance history and manuals
AI
Predicts failures and recommends actions
Output
Prioritized work orders in ERP
Human checkpoint
Maintenance planner approves the schedule
Use cases
- 01
Predictive failure alerts
Spot degrading equipment before it stops the line.
- 02
Maintenance advisor agents
Recommend the next best maintenance action with context.
- 03
Service lifecycle intelligence
Track installed-base health to grow recurring service revenue.
- 04
Technician knowledge search
Give field and plant teams cited answers from manuals and history.
AI for Supply Chain and Contracts
Machine learning and Agentic CLM keep demand, suppliers and contract commitments in view.
Inputs
Orders, demand signals and supplier contracts
AI
Forecasts demand and tracks obligations
Output
Forecasts, risk alerts and renewal actions
Human checkpoint
Planners and buyers act on recommendations
Use cases
- 01
Demand sensing and forecasting
Update forecasts as demand signals shift.
- 02
Contract intake and drafting
Capture and draft supplier, dealer and service contracts faster.
- 03
Obligation tracking
Monitor commitments such as delivery terms and service levels.
- 04
Renewal management
Surface renewals early enough to renegotiate.
AI for Engineering and Knowledge
AI keeps engineering documents controlled and makes plant knowledge searchable across systems.
Inputs
Drawings, specifications, change records and SOPs
AI
Classifies, links and answers questions
Output
Controlled documents and cited answers
Human checkpoint
Engineers approve changes
Use cases
- 01
Intelligent engineering document control
Classify, version and route engineering documents automatically.
- 02
Digital twin-informed design
Use operating data to inform the next design iteration.
- 03
Cross-system enterprise search
Search PLM, ERP and document stores in one place.
- 04
AI-powered answers for plant teams
Answer procedure and specification questions in plain language.
Each use case can be piloted on one line or plant before scaling across the network.
Close the Gap Between the Floor and the Enterprise
AI for manufacturing turns raw machine events into ERP-ready actions as they happen.
Services, Solutions, Accelerators
Manufacturing Solutions, Mapped to
the Problem
Match strategic transformation goals with specialized capabilities within a dedicated portfolio of manufacturing IT services.
01
Modernize and run the Oracle core
Stabilize legacy ERP, modernize workspaces and keep the platform running after go-live.
CHALLENGE
An aging Oracle EBS environment
Upgrade, assess customizations and migrate to OCI to stabilize EBS and prepare for what comes next.
CHALLENGE
Dated procurement and engineering workspaces
Adopt Fusion Cloud and Redwood UX with PLM to ERP integration, change control and real-time costing.
CHALLENGE
Oracle operations that run in silos
Run engineering, production, supply chain and service as one connected Oracle-based operation.
CHALLENGE
Platforms that need support after go-live
Operate and continuously improve Oracle, plant applications and production AI under one managed service.
02
Connect plant, data and partners
Give every system, supplier and team one connected view of operations.
CHALLENGE
Production, IoT and ERP data in silos
Build pipelines and AI-ready data foundations for real-time plant and enterprise visibility.
CHALLENGE
ERP, suppliers and third-party systems disconnected
Connect ERP, supplier and partner systems through governed, reusable integrations.
CHALLENGE
Plant and service knowledge scattered
Search manuals, SOPs, service history and ERP records together, with AI-powered answers.
CHALLENGE
Supplier, dealer and service contract obligations untracked
Manage intake, drafting, obligations and renewals across every commercial contract.
03
Scale AI with confidence
Apply AI on the line, govern it from day one and keep every release reliable.
CHALLENGE
Quality and safety gaps on the line
Inspect products and monitor safety in real time, with detections flowing into downstream workflows.
CHALLENGE
No AI strategy or governance model
Assess readiness, rank use cases by ROI and set governance, with sovereign deployment where data must stay in-house.
CHALLENGE
AI pilots that never reach the plant network
Industrialize AI delivery so proven use cases roll out across plants and business units.
CHALLENGE
Testing that falls behind software change
Keep enterprise and plant software testing current with goal-oriented, CI-integrated automation.
A Single Line to the Whole Plant Network
Manufacturers scale smart manufacturing with AI by starting with one high-value use case and expanding what proves out across plants and business units.
-
Step 01
Assess
Map plant and enterprise systems, data readiness and use case ROI to set priorities.
-
Step 02
Prove
Prove a high-value use case on one line or plant with real production data.
-
Step 03
Scale
Roll proven use cases across plants and business units through the AI Factory operating model.
About AI Factory -
Step 04
Operate
Run and improve platforms, applications and AI through Intelligent Managed Services.
About Managed Services
INSIGHTS & RESOURCES
What’s Shaping Smart Manufacturing with AI
Access practical perspectives on operational technology from our manufacturing consulting services experts.
THE LOAN LIFECYCLE
Build Intelligence Across the Value Chain with
AI Manufacturing Solutions
Enhance right-first-time quality and supply chain resilience with AI for manufacturing, connected across design, sourcing, production and service.
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Frequently Asked Questions (FAQs)
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Start Building Connected Manufacturing
Bring systems, data and intelligence together around plant operations with smart manufacturing with AI.