Behind the Scenes of Injection Molding: 3 Use Cases, From Automated Workflow to Team of Agents

As an engineering leader working with injection molded parts, you know how many questions one part has to answer. Is it moldable? How thick should the walls be? Will it warp? Each answer sits with a different expert in a different tool. And the simulation results often come back after the design has moved to its next CAD version.

The usual fixes each have a catch. Hiring more simulation engineers is expensive. Outsourcing adds management overhead and quality risk. Simulation built into CAD trades away depth, and scripts automate one task in one tool. Agentic AI promises something different, but what you've seen skips the part that matters: how the agents actually connect the design, simulation, and manufacturing steps your team runs today.

This webinar goes behind the scenes of three injection molding workflows, each one a step up in agentic complexity. Join the engineers who build these workflows as they show the outcome at each level, what the engineer stops doing, and what they review instead.

Explore Our Three Use Cases

1. Rule-Based Automation Use Case for Consumer Goods: How a designer iterates the ribbing pattern on a washing machine plate leading to low warpage without waiting days.
2. Agent in a Workflow Use Case for Automotive: How agents read an automotive requirements document, such as a 30-page PDF, extract the engineering requirements, and feed them straight into the workflow.
3. Team of Agents Use Case for Consumer Electronics: How CAD, meshing, molding, and drop test agents work together on a consumer electronics earbud housing, and what they hand back to the engineer to review.

Who It's For

• VPs and Directors of Engineering at injection molding and plastics-heavy manufacturers who need to see what agentic AI actually does before backing a platform
• Simulation and tooling leads whose experts are the bottleneck for every design iteration
• Part designers and engineers who build or maintain workflows and want to see how agents take on the next step