Agentic AI in PLM and QMS is everywhere right now, which makes it hard to tell who’s shipping real productivity, and who’s shipping a chatbot with good branding.
In Episode 2 of Inside the Solution, Propel’s insider series on how to solve today’s most pressing manufacturing challenges, CMO Dario Ambrosini sits down with Chandra Subramanian (VP of Engineering) and Steve Toukmaji (Senior AI Product Manager) to dive into Propel One, Propel’s agentic AI solution, and exactly how it differs from the “bolt-on AI layer” you’re seeing across the market. They cover what it means to be:
- Integral to the platform
- Grounded in the full product data thread
- Domain-aware (BOMs, revisions, changes)
- Built with security, permissions, and auditability for regulated environments.
Key Takeaways
Not bolted on, built in from day one.
Propel One is positioned as embedded in the system where PLM/QMS work happens (workflows, records, approvals), rather than an external LLM add-on that lives outside the process.
Four foundations of Propel's agentic AI: integral, data-driven, secure, and available.
Steve outlines the foundation: Propel One is designed to be native, grounded in connected data, protected by enterprise-grade controls, and accessible where users already do their work.
If AI can’t complete real work, it’s just a demo.
Chandra’s buyer-friendly test: summarization and Q&A are nice, but real manufacturing AI should help users navigate complexity, tee up insights, and reduce the manual grind.
Agentic = reasoning + recommendations + actions (with humans in the loop).
They define the real leap: Propel One can interpret context, suggest next steps, and execute tasks on the user’s behalf—while still keeping governance and approvals in place.
Domain-aware intelligence: BOMs, revisions, ECOs aren’t "documents."
A core limitation of generic or bolt-on AI is lack of product-structure understanding. Propel One is designed to understand key PLM/QMS constructs so responses and actions stay grounded in real product definition.
Permission-aware by default, down to the field level.
They explain how the agent inherits your existing security model, so different roles can get different answers from the same agent based on what they’re allowed to access, plus prompt/response auditing for traceability.
Fast start, no extra AI infrastructure.
Propel One is packaged to deploy quickly, with configurable prompt templates and the ability to extend agents into your existing flows and actions without standing up a separate AI stack.
Learn More
Ready to move beyond AI hype and into AI that actually moves change orders, quality work, and decisions forward?
Explore Propel One to see how agentic AI in PLM and QMS can reason with your product data, automate the busywork, and keep compliance intact, without bolt-ons or brittle integrations.
About Inside the Solution
Inside the Solution brings you behind-the-scenes conversations with Propel's product experts on solving modern manufacturing challenges. Each episode breaks down product development problems across roles, teams, and industries — and the innovative solutions transforming how companies bring products to market.
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