Use AI Pragmatically

AI that really helps – not just on slides

I show you how to use AI concretely: for automation, better workflows, and faster development. Less talk, more action.

Tools I Use

No rocket science - but the right tools for real problems:

Email processing, document analysis, data pipelines - outsource repetitive tasks.

e.g., invoicing automation, support routing, lead scoring

Intelligent document management, chatbots for frequent questions, internal knowledge bases.

e.g., customer support, onboarding, FAQ automation

AI as a feature in your app - recommendations, smart search, content generation.

e.g., personalization, error detection, improvement suggestions

Where does AI really make sense? I look at effort, benefit, and technical feasibility.

Few, effective use cases - not testing all tools.

Cleanly integrated, maintainable, without dependency on hype tools.

Real value is documented - time saved, quality increased.

Tool mastery (Cursor, Claude, GitHub Copilot)

Custom workflows for your team

Best practices & pitfalls

Follow-up support (2 weeks)

1-3 days of intensive training for your team. Direct work on real projects from your context.

Focused sprints for specific challenges: MVP foundation, architecture review, team enablement. Measurable results in a few weeks.

Real value is documented - time saved, quality increased.

30 minutes, non-binding. Tell me where AI could make sense for you.

30 minutes, non-binding. Tell me about your situation - I'll honestly tell you if and how I can help.

Choose a time that works for you. I'll join the video call on time.

Prefer written communication first? No problem. I usually respond within 24 hours.

Remote-first | DACH region | Also international