Modular Workflow Design for AI-Driven Industrial Ops


Project description
A modular, no-code AI workflow builder UI designed to simplify how enterprises create intelligent assistants. This flow connects real-time Pump telemetry with contextual data and local AI models (like Ollama) to generate actionable recommendations using a clean, low-friction visual programming interface. From ingesting live data → enriching it with context → filtering out noise → processing with an on-prem AI model → broadcasting → joining → updating recommendations - every step is intuitively visualized for better clarity and debugging. 🧠 Focus areas: • Modular, color-coded nodes by function • Clear logic flow from sensor data to actionable insights • Scalable for industrial AI assistants or digital twin systems • Designed for both technical and non-technical users Each step in this flow represents a critical function: 🔹 Ingest real-time telemetry 🔸 Enrich with prompt + context data 🔹 Filter existing insights 🔸 Run local AI models 🔹 Merge, broadcast, and update recommendations dynamically 💡 Designed for: • Non-technical users to build AI logic visually • Rapid troubleshooting with visual clarity • Scaling across use cases like asset monitoring, predictive maintenance, and operational automation The system focuses on clarity, flexibility, and explainability - a visual thinking tool for AI logic.







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