Cognition

Overview
Experion® Cognition is a new generation of automation that integrates AI capabilities with Experion control systems, providing a digital companion for industrial operations. It helps organizations overcome experience gaps, operator workload challenges, and cognitive limitations by capturing expertise, supporting decision-making, and enabling autonomous action.
Designed for Human-Autonomy Teaming, Experion Cognition keeps operators in control while helping operations achieve higher levels of performance, efficiency, safety, and consistency.
What is It?
Experion Cognition extends traditional automation by moving beyond the digitization of equipment control and into the digitization of operational expertise and human decision-making.
Using advanced analytics, AI technologies, autonomous agents, and knowledge capture capabilities, Experion Cognition continuously supports operators by providing situational awareness, expert guidance, recommended actions, and autonomous execution of approved responses.
How Does It Work?
Experion® Cognition follows a four-step operational workflow:
Capture Operational Expertise Capture and digitize the knowledge of experienced operators, process experts, and proven operating practices.
Detect Emerging Situations Continuously monitor operations, identify abnormal conditions early, and provide the context needed to understand them.
Guide Operators Decisions Provide expert guidance, recommended actions, and best-practice responses based on operational knowledge and real-time situational context.
Enable Autonomous Action Execute approved responses automatically and accurately while ensuring operators remain in control at all times.
What Problems Does it Solve?
Industrial organizations continue to face operational performance challenges caused by workforce transitions, skill gaps, increasing operational complexity, and human factors. Experion Cognition helps address these challenges by:

• Capturing critical operational knowledge before experienced personnel retire.
• Improving operational consistency through expert guidance and best-practice responses.
• Reducing performance variability between shifts and operators.
• Detecting and helping operators resolve abnormal situations earlier to reduce disruptions and unplanned downtime.
• Supporting operators during high-workload situations and peak operational demand.
• Reducing the cognitive burden associated with monitoring complex processes.
• Increasing operator efficiency by automating routine tasks and operational responses.
• Enabling operators to focus on higher-value activities that improve plant performance