Equipment reliability assistant

Tela™ agentic-AI assistant in OptiSite™ facility, equipment, and pipeline solutions

Turn reliability insights into preventive action.

Overview

Tela in OptiSite solutions helps operators improve equipment reliability through AI-driven monitoring, diagnostics, and predictive maintenance. By combining operational data, domain expertise, and advanced analytics, the Equipment Reliability Assistant identifies potential failures before they occur, recommends corrective actions, and automates reliability workflows to reduce downtime and maintenance costs.

Challenges

Equipment reliability management often relies on siloed workflows and fragmented information.
Reactive maintenance strategies can lead to unplanned shutdowns and production losses.
Failure analysis and diagnostics can be time-consuming and resource-intensive.
Existing predictive alerts still require significant manual review and intervention.
Maintenance teams need faster access to actionable insights to prevent failures.

Solution

Integrate facility, equipment, and pipeline data into a unified reliability workflow.
Combine process models, data science models, and AI-driven diagnostics for continuous monitoring.
Predict potential failures before they impact operations.
Recommend corrective actions and automatically generate work orders when appropriate.
Enable proactive maintenance through autonomous monitoring and decision support.

Features

Generative AI Integration – Analyze maintenance activities, operations reports, and OEM manuals to deliver actionable insights.
Automated Issue Resolution – Detect anomalies, determine corrective actions, and create work orders using real-time data and machine learning models.
Unified Intelligence – Combine domain expertise, OEM knowledge, and operational data to provide context-aware recommendations.

Benefits

Improve Equipment Reliability – Prevent unplanned downtime through predictive monitoring and automated workflows.
Accelerate Decision-Making – Deliver actionable insights that help maintenance teams respond faster and more effectively.
Save Time Through Automation – Reduce manual analysis and surveillance efforts from days to near real time.
Democratize Reliability Expertise – Make advanced reliability analysis accessible through intuitive interfaces and natural language interaction.
Reduce Maintenance and Failure Costs – Proactively address issues before they escalate into costly equipment failures.