Prioritize AI potential
I identify which tasks are actually suited for AI and where the biggest day-to-day value lies.
Service
AI & automation for work that costs time every day.
I move AI from experiment into concrete workflows. The focus is on tasks, data, rules, responsibility and measurable relief.
What I do
AI ideas become productive workflows.
AI creates value when it takes over concrete work: summarizing information, pre-qualifying requests, structuring data, preparing tasks or supporting decisions.
Internal AI assistants
I design assistants for knowledge, documents, CRM, support, reporting and operational routines.
Prompt and workflow structures
I define inputs, outputs, rules and checks so AI results become repeatable and useful.
Email and CRM automation
I automate pre-qualification, summaries, follow-up suggestions, tasks and status updates.
Document analysis
I structure processes where AI analyzes documents, requests or information and prepares them for teams.
How I work
AI is implemented only when value, data and process fit.
- business value
- data availability
- process maturity
- technical effort
- risk
- team acceptance
- integration capability
- 01 Select a process
I start with a task that happens often and costs measurable time.
- 02 Check data and rules
I clarify available information and operating boundaries.
- 03 Build a prototype
I implement a lean, testable first workflow.
- 04 Integrate into daily work
I embed the workflow in CRM, email, reporting or existing systems.
Should AI take over real work in your organization?
Then we should talk about the tasks that cost time today and prioritize the most useful AI potential.