Control rooms generate enormous amounts of data every second. The challenge has never been collecting it — it's been understanding it fast enough to act. With today's release, the Kairos Control Room Assistant gains two new AI-powered capabilities designed to close that gap: intelligent anomaly detection that warns operators before limits are breached, and a conversational AI chatbot that makes operational knowledge instantly accessible.
Anomaly Detection: Catching Problems Before They Become Incidents
Most alarm systems are reactive — they fire when a sensor has already crossed a threshold. By then, response time is compressed, options are limited, and the pressure is on. Our new anomaly detection capability takes a fundamentally different approach: it looks forward, continuously learning each sensor's normal behaviour and projecting where values are heading. The alert arrives while there's still time to act.
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THE CORE IDEA Instead of waiting for a number to cross a line, the system tracks trends in real time — building a picture of where each process variable is going, not just where it is. When that trajectory points toward trouble, operators are warned early, with time to investigate and intervene. |
The result is a smarter alarm — one that tightens its own thresholds as conditions deteriorate, giving operators a graduated warning rather than a sudden shock. False alarms are minimised through built-in stability checks, so when the system alerts, it means something.
What Makes This Different
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🎯 Early warning, not late confirmation Operators are notified while the process is trending toward a problem — not after it has arrived. That window of time is what makes the difference. |
🔇 Reliable signal, minimal noise The system distinguishes between genuine developing trends and brief fluctuations, keeping alarm fatigue low and operator trust high. |
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⚙️ Configurable per sensor Warning horizons and sensitivity can be tuned individually to match the characteristics and criticality of each measurement point. |
🔒 Designed for operational safety Built-in safeguards prevent cascading alarms and ensure the system behaves predictably under all process conditions. |
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KEY CAPABILITIES AT A GLANCE |
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▸ Trend-based early warning |
▸ Works alongside existing alarm configuration |
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▸ Configurable warning horizon per sensor |
▸ Stable behaviour under process variability |
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▸ Sensitivity tuning per measurement point |
▸ Graduated alerting as conditions develop |
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▸ Seamless integration — no new infrastructure |
▸ Ready to deploy with sensible defaults |
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The capability integrates directly into the existing Control Room Assistant environment — there is no parallel system to manage, no new configuration layer to learn. Your existing sensor setup and alarm philosophy are preserved and extended, not replaced.
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“The question isn't whether a limit will be breached. It's whether your operators will know about it three minutes before it happens — or three seconds after.” |
AI Chatbot: Operational Knowledge at Conversation Speed
Operators shouldn't have to leave their workflow to search manuals, chase down colleagues, or dig through document repositories. The new AI Chatbot for the Control Room Assistant brings that knowledge directly into the operational environment — accessible through natural language, grounded in authoritative documentation, and aware of what's actually happening on the plant.
Answers Grounded in Your Documentation
Ask a question in plain language — about a procedure, a piece of equipment, a safety requirement — and the system draws on your organisation's own documentation to compose an accurate, relevant answer. Every response includes references to the source material, so operators can verify and explore further with a single click. When an answer spans multiple documents, the chatbot synthesises them into a single coherent response rather than leaving the operator to piece it together.
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LIVE SITUATION ANALYSIS Beyond answering questions about documentation, the chatbot understands the current state of the process. Ask "What is happening right now?" and it translates live operational data into structured, actionable context — guiding operators through relevant checks, focusing attention on the most significant signals, and providing answers that reflect what is actually going on. |
Built for the Industrial Environment
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🔐 Secure and enterprise-ready Deployed within your existing infrastructure with the security and data controls required for critical industrial operations. |
📖 Knows your documentation The knowledge base is built from your operational documents — procedures, equipment manuals, safety standards — not generic training data. |
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🔗 Connected to live operations The chatbot can access real-time process data, making its answers relevant to what is happening now, not just what the manuals say. |
🔄 Continuously extensible New documents, new data sources, and new capabilities can be added over time — the system grows with your operational needs. |
The interface requires no specialist training — operators interact through a familiar conversational window integrated directly into the Control Room Assistant. The knowledge is simply there, when and where it is needed.
What Comes Next
Both capabilities are live and entering the testing and operator feedback phase. Here's where development is headed.
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Testing & Operator Feedback Integration Structured feedback loops from frontline operators will drive parameter tuning and UX refinement for both features. |
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Full Integration with Kairos CRA Embedding both capabilities deeper into the Control Room Assistant workflow — from detection through to action. |
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Chatbot ↔ Anomaly Detection Connection When the anomaly detection layer flags a deviation, the chatbot will immediately provide situational context, relevant procedures, and guided response steps. |
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Smarter Time-to-Limit Calculation Moving from fixed look-ahead windows to dynamic, rate-adaptive projections informed by process conditions and historical patterns. |
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Knowledge Base Expansion Extending RAG coverage to additional documentation sources, including client-specific operational procedures and engineering standards. |
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Visualisation Improvements Richer in-interface presentation of anomaly trends, sensor projections, and chatbot-surfaced insights within the CRA dashboard. |
The Bigger Picture
These two capabilities reflect where industrial AI is going: away from tools that operators consult and towards systems that actively support decision-making within the workflow itself. Anomaly detection that warns before a limit is breached, combined with a chatbot that can immediately provide procedural context — these aren't features in isolation. They're the building blocks of a control room where AI is a genuine operational partner.
As we connect the two systems and deepen integration with the Kairos Control Room Assistant, the ambition is a cohesive intelligence layer: one that sees what's happening, understands what it means, knows what to do, and surfaces that understanding to operators at exactly the right moment.
The work is underway. We're grateful to the operators, engineers, and clients who continue to shape it.
