Agent vs. Agent

When Workflow Automation Isn’t Enough: Agentic AI in Additive Manufacturing  

See what agentic AI can do in additive manufacturing (AM)

Additive manufacturing (AM) teams constantly balance material choice, machine selection, and cost. While workflow automation tools support predefined steps, what happens when trade-offs have to be evaluated to determine the optimal strategy? Or when a parameter needs to change without restarting the whole process?

In this 35-minute session, Synera experts compare several agentic AI approaches to solve a real AM engineering challenge: optimizing an AM job to maximize value of a build – highest yield and throughput at the lowest total cost - while staying within a fixed budget.

Through a live demo and Q&A, you'll see how engineering workflows evolve with AI agents that autonomously evaluate constraints, negotiate trade-offs, and complete processes where conventional automation systems stall.

Key Takeaways

• See the difference between workflow automation and agentic AI
• See a real AM process run by Synera AI agents specialized for engineering
• Learn pros and cons of different agent setups
• Ask Synera experts about AI in engineering environments

Who is the webinar for?

• Additive Manufacturing Team Lead: Leads AM engineers responsible for build preparation, orientation strategy, support generation, and machine allocation under cost and production constraints. ‍
• Cost Engineering Team Lead and RFQ Owners: Oversees cost estimation and quotation workflows, balancing material, machine, and process parameters to deliver competitive and accurate pricing. ‍
• Manufacturing Engineering Team Lead: Responsible for scaling manufacturing preparation processes and improving automation in complex, constraint-driven production environments.
  

Secure your spot now and gain exclusive access to the live session and the recording afterward.