FrameworX provides practical AI capabilities for industrial automation.
Platform Overview | AI Integration
Why AI Integration Matters
Engineers using AI copilot tools with FrameworX report productivity improvements of 2× to 10× for configuration tasks, depending on complexity. This isn't a marginal improvement; it's a fundamental change in how industrial applications are built.
FrameworX provides practical AI integration across three areas: design-time assistance, runtime queries, and machine learning deployment.
The Next Frontier: A decade ago, the industry focused on OT-IT integration. Now the frontier is OT-AI integration. The same architectural decisions that enabled FrameworX OT-IT integration — consistent namespaces, managed code, open interfaces — now enable native AI integration.
AI Capabilities Overview
| Capability | What It Does | Use For | Unique Features |
|---|---|---|---|
| MCP for Runtime | AI models query live solution data | Dashboards, troubleshooting, automated reports | AI tools (Claude, Copilot) directly query running solutions. Visual feedback: orange border and badge when AI is connected. |
| MCP for Designer | AI models help build solutions | Faster configuration, bulk object creation | AI Tools (Claude, Copilot) directly manage the Designer UI. 17 toolsfor creating all solution elements with visual feedback. Built-in security with permission-based access control. |
| ML Integration | Deploy trained ML models | Anomaly detection, predictive maintenance | Use directly ML NET 4.0 in C#. Use directly all Python 3.7+ libraries |
| Ask FrameworX Docs | ChatGPT trained on documentation | Get help, ask questions. Side bar shortcut: AI Ask Docs | Leverage OpenAI tools |
MCP for Designer is a game changer for how solutions are developed. If that is new for you, see [MCP For Designer In Action]
MCP for Designer: AI-Assisted Configuration
Let AI help you build solutions faster.
What AI can do:
- Create Tags, Displays, Alarms, Devices, and all solution objects
- Generate Canvas and Dashboard displays with proper patterns
- Search protocols by equipment name (Siemens, Allen-Bradley, Modbus)
- Delete and rename objects with safe refactoring (cross-references stay valid)
- Find where any object is used — visual cross-reference in Designer
- Access documentation, skills, and download example solutions
- Log in to secured solutions via designer_action('logon')
Key Features:
- Visual Indicator — Orange border and "AI MCP" badge show when AI is connected
- MCP Category System — Tracks AI-created vs manually-created objects
- Wizard Symbols — Pre-built industrial symbols (BLOWER, MOTOR, PUMP, TANK, VALVE)
- Protocol Search — Fuzzy matching finds protocols by vendor name
- Security Integration — Permission-based access: AI sees current user's edit permissions and can authenticate when needed
AI knowledge of FrameworX
When using MCP for Designer tools, it automatically feeds the AI chat session with a summary of the document: [→ AI Product Knowledge (Platform Architecture Reference)]
When working with chat sessions and AI models not using our MCP for Designer tools, it may be useful to feed that page to AI.
→ See [MCP for Designer In Action] → See [AI MCP for Designer Connector]
MCP for Runtime: Query Live Data
Connect AI models like Claude to your running solution.
What AI can do:
- Read tag values from the UNS
- Query alarms and historian
- Create custom queries via Script Classes
→ See [AI MCP for Runtime Connector]
ML.NET Integration: Deterministic Machine Learning
Deploy trained models for consistent, repeatable results.
Use cases:
- Anomaly detection
- Predictive maintenance
- Quality prediction
Additional to ML in C#, the Python 3 native integration allows the usage of all Python analytics libraries.
→ See [AI ML Integration Connector] → See [Python .NET Integration]
Ask FrameworX Docs
ChatGPT trained on FrameworX documentation.
Click here → AI Ask Docs, or use the shortcut on the left sidebar.
Reference
→ For the technologies that enable this, see [AI-Ready by Design]
Let AI help you build solutions faster.
What AI can do:
- Create Tags, Displays, Alarms, Devices, and all solution objects
- Generate Canvas and Dashboard displays with proper patterns
- Search protocols by equipment name (Siemens, Allen-Bradley, Modbus)
- Track changes, cross-references, and audit trails
- Access documentation and download example solutions
Key Features:
- Visual Indicator — Orange border and "AI MCP" badge show when AI is connected
- MCP Category System — Tracks AI-created vs manually-created objects
- Wizard Symbols — Pre-built industrial symbols (BLOWER, MOTOR, PUMP, TANK, VALVE)
- Protocol Search — Fuzzy matching finds protocols by vendor name
AI knowledge of FrameworX
When using MCP for Designer tools, it automatically feeds the AI chat session with a summary of the document:
? AI Product Knowledge.
When working with chat session and AI models not using our MCP for Designer tools, it may useful to feed that page to AI.
→ See MCP for Designer In Action
→ See AI MCP for Designer Connector
MCP for Runtime: Query Live Data
Connect AI models like Claude to your running solution.
What AI can do:
- Read tag values from the UNS
- Query alarms and historian
- Create custom queries via Script Classes
→ See AI MCP for Runtime Connector
ML.NET Integration: Deterministic Machine Learning
Deploy trained models for consistent, repeatable results.
Use cases:
- Anomaly detection
- Predictive maintenance
- Quality prediction
Additional to ML in C#, the Python 3 native integration allows the usage of all Python analytics libraries.
→ See AI ML Integration Connector
→ See Python .NET Integration
Ask FrameworX Docs
ChatGPT trained on FrameworX documentation.
Click here → AI Ask Docs, or use the shortcut on the left sidebar.
Reference
→ For the technologies enables this, see AI-Ready by Design