What Is Agentic AI for PLM and QMS? Propel One Explained | Inside the Solution Ep 2

Описание: Propel One Agentic AI vs. Bolt-On AI in PLM and QMS: What Manufacturers Need to Know

In this video, Propel Software's Steve Toukmaji (Senior AI Product Manager) and Chandra Subramanian (VP of Engineering) explain how Propel One agentic AI differs from traditional AI tools in product lifecycle management (PLM) and quality management systems (QMS). Learn how agentic AI goes beyond summarization and chatbots to reason, execute tasks, and improve productivity across engineering, quality, and field service teams—while maintaining compliance and data security in regulated industries.

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Questions Answered in This Video:
– What is agentic AI and how does it differ from generative or predictive AI?
– How is Propel One different from bolt-on AI tools in PLM and QMS?
– Is my data secure with Propel One?
– Can Propel One enforce role-based permissions in AI responses?
– What are real-world use cases for Propel One in manufacturing?
– How difficult is it to implement Propel One?

👉 Full FAQ with detailed answers pinned in the comments below!

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Key Topics Covered:
Agentic AI for manufacturing | Product lifecycle management (PLM) AI | Quality management system (QMS) AI | Digital thread and unified data models | Salesforce Agentforce and Data Cloud integration | AI security and governance in regulated industries | Permission-based AI and zero-copy data models | Engineering change order (ECO) automation | Bill of materials (BOM) analysis with AI | AI for field service and asset management

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About Propel Software:
Propel Software unifies PLM, QMS, and PIM across a single intelligent product thread, connecting teams on a cloud-native, low-code/no-code platform. Propel One agentic AI is embedded directly in everyday workflows to help product teams accelerate time to market, improve quality, and drive revenue growth.

Learn more: https://www.propelsoftware.com/produc...

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CHAPTERS:
0:22 – Introduction: What Makes Propel One Different?
1:34 – The Four Foundations of Propel One Agentic AI
4:51 – Agentic AI vs. Predictive and Generative AI
5:25 – Limitations of Competitor AI Tools in PLM and QMS
8:55 – How to Evaluate AI Vendors: Key Questions for Manufacturers
13:32 – Security, Compliance, and Governance in Agentic AI
15:45 – AI User Security Through Prompt Lifecycle
16:10 – Permission-Based AI: How Propel One Enforces Data Security
18:22 – Real-World Use Cases: Engineers, Quality Teams, and Field Service
22:51 – Implementation: Deploying Propel One Without Separate Infrastructure
25:05 – Closing: The Future of Agentic Manufacturing

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Related Resources:
🔗 Request a Propel One Demo: https://www.propelsoftware.com/produc...
🔗 Download the Propel One AI Product Sheet: https://www.propelsoftware.com/resour...
🔗 Read our introduction to Propel One: https://converged.propelsoftware.com/...

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#AgenticAI #PLM #QMS #ProductLifecycleManagement #ManufacturingAI #Salesforce #Agentforce #PropelSoftware #DigitalThread #ComplianceAI #ProductValueManagement #EngineeringAI #QualityManagement