Aidentyx joined SMRP 2026 in Raleigh, North Carolina, to connect with maintenance and reliability professionals and share how the PODO® AI Framework brings operational context to AI-driven decisions.
Held September 27–30 at the Raleigh Convention Center, the event provided an opportunity to explore practical approaches to maintenance, asset performance, and industrial AI.
Aidentyx at SMRP 2026
Our team enjoyed meeting attendees at our booth and taking part in this year’s Innovation Labs.
We introduced our approach to agentic AI for manufacturing, showing how connected knowledge, manufacturing-specific skills, and AI agents can support engineers as they investigate issues and determine the next step.
Watch our one-minute highlight video for a look back at the event.
Operational Context for Agentic AI
In our Innovation Lab session, “Operational context for agentic AI,” Joe Lee, VP of Product Marketing at Aidentyx, explored a question familiar to maintenance and reliability teams: when an alert arrives, how do you determine what is wrong, why it matters, and what should happen next?
The session illustrated how the same equipment condition can require different responses depending on redundancy, production priorities, spare availability, and maintenance windows.
By connecting those relationships through an industrial ontology, AI agents can evaluate relevant evidence and help engineers make more informed decisions.
Key Takeaways from SMRP 2026
Our session emphasized a practical starting point for manufacturing AI: choose one clearly defined task, connect the context it needs, and establish human review and approval rules.
This approach underpins the PODO® AI Framework: Detect changes, Diagnose likely causes and operational impact, and Act through a governed next step.
Start with a decision that matters. Prove value, then expand.
What’s Next
Thank you to everyone who stopped by our booth and attended our Innovation Lab, and to the SMRP team for bringing the community together.
We look forward to continuing these conversations and helping maintenance and reliability teams put manufacturing AI into practice.
Interested in how the PODO® AI Framework can support your maintenance and reliability workflows? Get in touch with our team to continue the conversation.