Purpose-built AI for Engineering Excellence
Join us for an engaging and practical webinar specifically designed for senior leaders and decision-makers in engineering across R&D, Production, and Aftermarket. Discover how you can SPREAD product knowledge with functional virtual twins of all your product data to activate drive AI-powered decisions & actions.
Tuesday, July 15, 2025
4:00pm CEST
How a global OEM sets up its source-of-engineering-truth
Smart connectors integrate product data into intuitive dashboards, giving inline reworkers real-time access to product descriptions, 3D wiring geometries, DTC mappings, and fault hotspots for proactive issue detection.
faster error correction
reduced process steps
reduced error searching time
How a global OEM sets up its source-of-engineering-truth
Connected systems integrate product data to drive specialized apps for project management and decision-making, offering dashboards with real-time status, readiness, and risk insights while proactively addressing cross-domain gaps and interdependencies.
faster to market
costs reduction
quality
How a global OEM enables a source-of-truth for product data
Integrated product data is connected via smart connectors, enabling workshops to access up-to-date repair guidance and wiring information while creating active feedback loops that enhance product data for improved field monitoring and innovation.
faster troubleshooting
lower warranty cost
increase in CSAT

Shane Connelly
CPO

Oliver J. Blauth
Head of Solution Consulting

Alexander Matthey
VP Marketing & People
Key highlights
This session is for engineering, production, and service leaders in automotive, defense, machinery and beyond who are exploring how to apply AI to real product challenges across the lifecycle, from early development to production, to field operations and aftermarket:
- AI in focus: AI is moving fast, but expectations in engineering are often off. This session shows where LLMs and other AI approaches add value today, with surprising wins and clear limits.
- Real-world examples: Explore how leading OEMs are optimizing requirements, connecting issue tickets to product data, and auto-mapping product data, alongside other high-impact use cases covered in the session.
- Tangible ROI: Learn how leading OEMs are using AI to lower risk, accelerate delivery, and improve performance across development, production, and service.
- Interactive experience: View guided demonstrations showcasing our AI solutions, accessing structured and unstructured product data, with practical insights you can apply immediately.
- Expert guidance: Join our Chief Product Officer Shane, Head of Solutions Consulting Oliver, and VP of Marketing & People Alexander as they share hands-on experience, answer your questions, and outline next steps.
Don't miss this opportunity to drive innovation and stay ahead in the fast-paced manufacturing industry. Register today and empower your engineering teams with AI solutions designed for real-world impact!
If you’re unavailable at the scheduled time, registration ensures access to the full recording.
What you'll gain
- A clear view of where AI delivers real value in engineering, and where expectations still miss the mark
- Concrete examples of when LLMs impress, when they fail, and what approaches actually work in complex engineering tasks
- Insights from companies applying AI to real engineering work:
- How AI helps structure and trace requirements across complex development programs
- Ways to connect issue tickets to system and functional chain context for faster, more accurate root cause analysis.
- How leading OEMs use AI to map product data into engineering systems
- What a scalable data foundation looks like in practice (without starting from scratch)
- Practical guidance to get started with AI in your own context, and ideas you can bring back to your team
To protect your privacy and the confidentiality of all participants, your name and company will not be visible to other attendees during the webinar. The session is structured as a closed-format event, and participant details will remain hidden throughout. If you have any questions, feel free to contact us at marketing@spread.ai.