What IMS Gear learned putting AI engineering into practice and sped up their RFQ process

The IMS Gear journey: AI engineering, in practice

IMS Gear, a global precision gear manufacturer with customers in both automotive and aerospace industries, put AI engineering into practice on their RFQ workflow.  

The journey took them through choosing the right level of automation for each step, integrating AI into their existing engineering tools, aligning engineering, IT, and leadership behind the change, and running both initial agentic and current hybrid AI-assisted workflows, in production. Plastic part RFQs that used to take weeks now run in around 10 minutes.

On May 27th, Director R&D Dr. Jens Fechler and Development Engineer Erik Stähle walk through what they built, what they learned, and what they'd tell another engineering team starting the same journey today.

What we'll cover

1. Picking the right level of automation — when rule-based, AI-assisted, and agents each make sense
2. Time savings in production — what weeks-to-minutes actually looks like, demonstration on video
3. Why workflow design matters — the orchestration and tool integration decisions that shape the trustworthy outcome
4. Buying and aligning around AI software — what alignment is needed across engineering, IT, and leadership to move forward on enterprise roll-out
5. Where IMS Gear is now and where they're going next — the lessons learned and future outlook

For automotive Tier 1 and Tier 2 engineering leads facing global speed pressure

China is setting the new pace on cost and cycle time, and Tier 1 and Tier 2 suppliers in Europe and the US are under pressure to modernize engineering workflows. RFQ cycles are one of the most exposed steps. They're slow, manual, and getting harder as Advanced Driver Assistance Systems (ADAS), electrification, and software-defined vehicle architectures pile complexity onto every quote. If you're an R&D manager or engineering team lead at a Tier 1 or Tier 2 supplier, this webinar is for you.

For aerospace engineering leads working through a backlog

Order books are at record highs and engineering capacity is working a backlog. The bottleneck isn't demand. It's how quickly your team can move quotes, design iterations, and supplier specs through the same engineering process you've always used. If you're an engineering lead at an aerospace component supplier or heavy-duty vehicle manufacturer, this webinar is for you too.

Especially relevant for digital transformation and innovation leaders

If you're the person at your company tasked with deciding which AI solutions become part of your manufacturing enterprise backbone this webinar is for you. Learn a defensible adoption story plus a leadership alignment playbook to back the decision. Jens and Erik's experience is the kind of evidence you came looking for. Synera's platform supports the full automation spectrum and connects to your existing engineering tech stack. One digital engineering thread connected to your enterprise systems.

Sessions and how to register

• EU session: Tuesday, May 27, 14:00 CET
• US session: Tuesday, May 27, 19:00 CET (1 pm EST / 10 am PST)
• Format: 35 minutes presentation, 10 minutes live Q&A ‍
• Platform: Zoom (browser-based access available)

Use the form on the right and select your preferred session.