Even the most advanced engineering teams can struggle to define where AI fits, especially when everything’s already in motion.
For one global leader in simulation and digital twin technologies, the goal was clear: streamline benchmarking and review processes with automation. However, with complex workflows and ongoing programs already in place, the real challenge was technical and organizational.
The Challenge: No Room for Disruption, but No Time to Wait
This engineering-focused organization wasn’t new to innovation. Their teams operated across global hubs and dealt with massive volumes of simulation data daily. As pressure grew to accelerate reviews and reduce manual reporting, leadership knew AI could offer relief if they could figure out where to start.
They needed a low-risk approach that could prioritize the right opportunities, align stakeholders across IT and engineering, and avoid creating drag on active programs. The intent wasn’t to chase hype. It was to find scalable wins without disrupting day-to-day execution.
The Approach: Mapping Friction to Opportunity
Through an AI & Automation Readiness Workshop, engineering and IT teams came together in structured working sessions. The focus was clear: dissect real workflows and pinpoint where automation could create meaningful, measurable impact.
Three standout opportunities emerged:
- Streamlining CAD-to-analysis reviews to reduce feedback cycles
- AI-generated summaries of simulation reports to speed up decision-making
- GenAI-assisted engineering commentary to simplify documentation and boost clarity
In addition to identifying opportunities, the teams assessed data readiness and compliance implications, ensuring any automation efforts would be built on solid ground.
The Outcome: A Shared Roadmap for AI Experimentation
By the end of the workshop, the organization had a clear six-month roadmap for AI experimentation and three pilot projects directly tied to engineering KPIs. Teams were aligned, leadership had a framework for evaluating use cases, and everyone walked away with a shared understanding of what responsible AI adoption could look like in their environment.
This was the first step toward meaningful change, backed by strategy, structure, and internal momentum.
Still stuck at the “where do we start?” stage?
You’re not alone and don’t have to figure it out in a vacuum. Our AI & Automation Readiness Workshop is designed to help teams like yours move from uncertainty to action with clarity, confidence, and momentum.
👉 Let’s talk about what practical AI could look like for your team.
