0:00 / ~0:00
AI Consulting & Implementation
AI matters when it actually reduces friction in your workday.
I help you find useful AI scenarios in your business, assess them properly and introduce them so people stay in control.
Emails & replies
Drafts, tone, summaries and reply suggestions for recurring communication.
Documents & knowledge
Structure information, condense minutes and make internal documentation more usable.
Research & analysis
Initial orientation, market information, Excel data, offer input and decision notes.
Support & admin
Prepare support cases, document standard processes and speed up repetitive steps.
Readiness Check
Check first, then roll out tools.
Together we look at current workflows, data, responsibilities and desired results. Afterwards it becomes clear whether a chatbot is enough, an assistant makes sense or a controlled automation is even appropriate.
Licenses & Tool Models
The AI landscape changes quickly. You need a choice that fits your business.
I help you compare user licenses, team plans, assistants, API usage, data protection, cost control and administration effort in understandable terms.
Microsoft 365 & Copilot
Do you use Microsoft 365 and are thinking about upgrading to Copilot?
I bring you up to speed: what Copilot can do in Word, Excel, Outlook, Teams and your everyday work, which prerequisites matter and how to get more out of it than just another subscription.
AI terms explained
New terms arrive faster than most teams can classify them properly.
I help you separate buzzwords from useful concepts and understand which terms are actually relevant for your business.
AgentsMarkdownLLMModelMCP Servershould.mdCopilotAutomationOpenAIGeminiClaudeKimiKimchiGenerative ArtVibe CodingAgentic DevelopmentPromptingContext WindowRAG
Levels 1-3
Three levels, three responsibility models.
The more AI acts on its own, the more important boundaries, checkpoints, data rules and clear human responsibility become.
Chatbot experience
You ask questions, write prompts and make the decisions yourself.
Agentic assistant
AI supports several steps and prepares options, but the human still decides.
Agentic automations
AI runs defined workflows. People judge results, quality and exceptions.
Pilot
Start small, learn cleanly, then decide.
The start stays deliberately manageable. You quickly see whether value, data, responsibility and effort fit together.
- 1
Choose workflow
A concrete workflow with visible value and manageable risk.
- 2
Define tool & rules
Clarify license, data, review, responsibility and result quality.
- 3
Test prototype
Try a prompt, assistant or automation in real everyday work.
- 4
Adopt or stop
Only keep it if value, control and effort fit together.
Next step
Bring one concrete workflow.
Useful details are current tools, data sources, privacy questions, recurring tasks and the result you want to improve.