Agentic AI for Additive: From Design Rules to Intelligent Workflow Automation

Additive manufacturing (AM) has matured beyond isolated process innovations. Yet many organizations remain trapped in manual design and validation workflows that limit scalability. While AI and generative design promise automation, true productivity gains depend on connecting these tools across the full digital thread, from CAD to simulation to PLM.

This presentation introduces how agentic AI systems powered by Synera are transforming AM workflow automation in R&D and production environments. Synera’s approach combines knowledge-based engineering, CAD/CAE/PLM integrations, and multi-agent orchestration to capture and deploy engineering know-how as executable logic. In an additive context, this allows organizations to:
-Automate complex DfAM checks, lattice generation, and lightweighting studies directly from native CAD
-Couple parametric design variation with instant simulation feedback and manufacturability scoring
-Preserve expert rules while enabling AI agents to propose, test, and document new design variants autonomously

We will share case examples from aerospace and automotive sectors where agent-driven workflows reduced iteration times by over 80%, standardized DfAM compliance, and enabled teams to scale design reviews without increasing headcount. The talk will outline a practical framework for introducing agentic AI into engineering environments, highlighting what can be safely automated today, where human oversight remains critical, and how on-prem, non-cloud architectures make AI adoption secure and auditable.

Attendees will leave with a clear understanding of how to operationalize AI in additive design workflows, moving from single-point scripts to connected, intelligent processes that deliver measurable engineering impact.