Working with SEOS AI gave us much better clarity on what AI actually means for our business - not just in theory, but in our day-to-day operations. We identified where AI can realistically improve our processes and, just as importantly, where investing time or resources doesn't make sense.

Their approach helped us stay focused and avoid unnecessary complexity and costs - using existing tools where possible and only building when it truly added value.

“We worked with Peter to map out the company processes where AI could create real impact. He helped us clearly understand what is worth automating, what is possible, and what still makes sense to keep manual.

Together, we went through each area of the business and identified concrete opportunities, resulting in a clear, prioritized list we can now use to start implementation. We expect this to save us more than 10 hours per week - and this is just the beginning.”

"With Peter’s help, we were able to start using Microsoft Copilot in our day-to-day work - something we probably wouldn’t have managed on our own.

One of the first things we built was an assistant for preparing a mandatory Quality and Safety Report, based on multiple regulations and requirements. The output was already very close to final, with only minor adjustments needed before submission. This gave us a lot of confidence to keep moving forward with other use cases."

“Working with Peter gave us a much clearer understanding of how AI can actually support day-to-day marketing work - not just as an interesting tool, but as something practical that can genuinely improve how teams operate.

What stood out most was the focus on real workflows and real business challenges. Instead of generic AI theory, the approach was focused on practical use cases, clearer processes, better communication, and finding ways to work faster and more efficiently without adding complexity.

After the training, AI felt much less overwhelming and much more like something we could realistically integrate into our daily work.”

“Before working with Peter, we already had teams experimenting with different AI tools internally, but like many companies, we were still missing a clear understanding of where AI could realistically create operational value and which initiatives actually mattered most. What made the difference was the structured and practical approach. Instead of focusing on AI trends or generic use cases, the process focused on how work actually happens across the company, where teams lose time, and which operational bottlenecks are truly worth solving first.

Together, we identified more than 60 concrete opportunities for automation and AI support across multiple departments and evaluated their operational impact and potential savings. Without this kind of structured process analysis, we would probably still be guessing where to start, which initiatives to prioritize, and how to approach implementation efficiently. The result was a much clearer roadmap for turning scattered experimentation into a focused operational strategy.”