Getting started with AI development – how a workshop laid the foundation for targeted LLM use

Starting point

BRIEM Steuerungstechnik GmbH develops sophisticated monitoring solutions for cleanrooms and laboratories, as well as high-quality measurement technology for ventilation and air conditioning. Internal innovation initiatives raised the question of what role generative AI could play in the future, particularly in user-focused applications.

The aim was to develop a shared understanding: how can generative AI be integrated into product strategy and system architecture? And which knowledge and technical foundations does the team need to have or develop?

The workshop: compact, focused and practical

In a one-day workshop with evoliq, BRIEM's product and development teams received a structured introduction to generative AI, working with large language models and integrating them into software development.

The workshop was designed to convey technical relevance, highlight specific pitfalls and create a connection to the company's everyday work.

The following topics were covered during the day:

1. Context: where are we with generative AI today?
2. Foundations: what are LLMs, how do they work and where are their limits?
3. Concepts: what are AI agents and agent-based architectures?
4. Challenges: data security, privacy and infrastructure
5. Technologies and frameworks: what options are available to development teams?
6. Application: developing ideas for an AI-supported prototype to help users and technical support at BRIEM

The content was discussed, questioned and developed together on equal terms, bringing technology consulting, software practice and product understanding together.

Results: clarity, direction and concrete next steps

By the end of the day, BRIEM had more than a better understanding: it had a shared knowledge foundation within the team, an initial concept for a potential AI prototype and a clear assessment of what is possible and what is not.

Developers could begin technical evaluation immediately, product managers had tangible ideas for added value, and business teams understood the prerequisites for production use.

What can otherwise take weeks became clear within a few hours:

• Which technologies make sense
• Where risks need attention
• Where concrete value can arise in practice

Why a workshop is the right starting point

A well-structured workshop gives companies space to gain clarity about technology, applications and next steps without prior knowledge. Especially when initial experience with generative AI is missing, the format helps develop realistic expectations and explore concrete options together.

The benefits can be measured:

• Less uncertainty
• Faster decisions
• Better communication between business teams and development
• Lower project planning risk

Conclusion

evoliq's workshop format shows that a sound starting point need not be complex or time-consuming. What matters is the right setting, the right questions and a partner who understands the language of both technology and the business.

evoliq provides companies with access to AI knowledge alongside structure, direction and technical implementation expertise, tailored to what they actually need to get started with AI.