Real Workflows, Real Agents: 3 Live Demos of Agentic AI in Engineering

As an engineering leader, you've heard AI vendors promise to transform your RFQ process, your cost estimates, your design reviews. What you haven't seen is how any of it actually works, step by step, inside the tools your engineers already use.

Most demos show a chat window and a finished result. The middle steps stay invisible, where an AI agent actually opens a CAD file, runs a simulation, or pulls cost data. Which leaves you wondering whether what you saw was real engineering work or something that only looks like it.

This webinar shows the step-by-step process for three technical demos. Join the Synera engineers who build and deploy these systems, as they walk through three real production workflows, designed with and for our customers (IP removed).

Your Key Takeaways

1. Request for Quote Demo: How a team of agents handles an RFQ on the automotive supplier side, from intake to a costed quote.
2. Design to Cost Demo: How agents run a full DtC analysis on an aerospace component, from raw geometry to a comparative cost report.
3. Design for Manufacturing Demo: How agents evaluate a design for manufacturability and cost, and what they flag back to an engineer to fix.

Who It's For

• VP / SVP Application Engineers looking to cut through the AI noise and make a confident platform decision
• R&D and Engineering Leaders who need proof an AI agent can open a tool and do the work before recommending a platform internally
• Engineers and solution engineers who build or maintain workflows and want to see how agentic AI handles them start to finish