Analyzes energy consumption alongside equipment and operating conditions to detect anomalies, identify waste, benchmark performance, and recommend opportunities to improve energy efficiency across assets and facilities.
Purpose-built AI agents that help engineers detect issues, diagnose causes, and move from insight to action.
AI Engineering Agents work with the PODO® AI Framework to understand manufacturing context, apply specialized skills, and deliver job-specific answers engineers can act on.
PODO® AI Framework
The PODO® AI Framework gives AI agents a shared understanding of equipment, processes, people, and operating conditions, along with reusable manufacturing-specific skills that support connected decisions and action.
Asset Performance Agent
Continuously analyzes equipment and operating signals to detect abnormal behavior, identify potential issues, and recommend next actions—helping engineering teams reduce unplanned downtime and improve asset reliability.
Energy Management Agent
Analyzes energy consumption alongside equipment and operating conditions to detect anomalies, identify waste, benchmark performance, and recommend opportunities to improve energy efficiency across assets and facilities.
Other AI Engineering Agents
PODO supports AI Engineering Agents for a growing range of manufacturing workflows, including process performance, asset benchmarking, root-cause investigation, trace analysis, and operational knowledge. Agents can be configured around specific roles and plant priorities while drawing from the same shared manufacturing context and reusable skills.
Each AI Engineering Agent is designed around a specific manufacturing responsibility. Connected through PODO, agents can work from shared plant context and reusable skills instead of operating as isolated AI tools.
Work from Shared Manufacturing Context
Connected through the PODO® AI Framework, agents can work from the same understanding of equipment, processes, relationships, and operating conditions.
Connect Signals Across Operations
Agents can relate signals across equipment, processes, conditions, and operational knowledge to understand what changed, what may be affected, and where to investigate next.
Deliver Job-Specific Answers
Instead of returning generic AI responses, agents deliver answers and recommendations shaped around the engineer’s task, operating context, and available plant knowledge.
Move from Insight to Action
AI Engineering Agents help teams move from detection and diagnosis toward coordinated decisions and action across manufacturing workflows.
See how the PODO® AI Framework and AI Engineering Agents can support your manufacturing workflows—from detection and diagnosis to coordinated action.