
From AI capabilityto productive value.
From training through choosing to the finished application. Measurable, secure, run in Europe.
WHAT WE DO
Three services that build on one another.
We train your staff, determine the right projects with you, and deliver them.
AI strategy & potential analysis
We analyse how you work and show you what is worth doing, and in what order. With a plan, the numbers, and an honest read on the risks.
View strategy- Audit
- Prioritization
- Roadmap
The principle
Most companies are not short of ideas.What is missing is the decision where to start.
Our process does not end in a list of ideas, but in a roadmap with clear next steps.
What we look at
We analyse how the work is actually done in your company.
- Taking stock
How you work
Work that repeats itself, takes a lot of knowledge or sits in documents. That is where artificial intelligence saves time and lifts quality.
Departmental needs
Where sales, personnel, finance, procurement, marketing, service, legal and IT could genuinely use help.
Data and systems
What data, documents and systems you hold, and how they connect.
- Testing
Feasibility
Can it be built? We check the data, the effort, how it connects to your systems and how settled the process is.
Law and security
Sensitive data, European AI regulation, data protection, and your own rules.
- Value
Impact
What each case is worth: time saved, better quality, less risk, more revenue or faster work.
Examples from practice
Where artificial intelligence helps in your company.
Areas where we keep finding the same, well-solvable need.
Sales
Drafting proposals, summarising customer history, preparing meetings, answering objections, writing emails.
HR
Writing job adverts, preparing interviews, settling new colleagues in, informing staff, planning training.
Finance and controlling
Summarising reports, explaining variances, justifying forecasts, preparing board material.
Customer service
Suggesting answers, sorting requests, looking things up in your own knowledge, replying to complaints.
Legal
Reviewing contracts, comparing clauses, drafting policies, working through regulation.
Operations and IT
Documenting processes, checking quality, looking things up, helping with code, summarising incidents.
The standard
Not a mock-up for a presentation,but solutions that matter day to day.
Ideas are the start. Value appears once the solution is usable, is connected to your systems, and is taken up by your staff.
How a project runs
Seven steps. Each with a result that is settled.
Projects fail when analysis, building, launch and operation run into each other. We keep the steps apart and write down what has to be finished before the next one starts.
- 01
Understanding
We settle which problem gets solved, for whom, with what data, and whether it is legally sound and pays off.
- The problem and the users are settled
- The expected benefit is quantified
- Risks named, scope of the trial agreed
- 02
Pilot
We build the simplest solution for the most expensive problem and run it within a contained scope.
- Usable in real work
- The actual problem is hit
- First numbers are in
- 03
Reviewing the trial
We check whether the trial returned enough to carry on, to improve, or to stop.
- Judged in numbers and in conversation
- Costs and risks checked
- A clear recommendation: carry on or not
- 04
Launching
We bring the solution into further processes, systems and teams.
- Available to the intended group
- Built into the process
- Training and instructions are ready
- 05
Operations
We set up daily operation: stable use, monitoring, and who answers when something breaks.
- Monitoring and incident handling in place
- Responsibilities are settled
- The reporting runs
- 06
Improving
We keep improving: what the usage shows, what people report back, and what changes in the requirements.
- The agreed improvements are in
- Tested and shipped
- Costs are down
- 07
Widening
We widen the solution to more users, teams, locations and related tasks.
- Reusable without rebuilding
- In use across several teams
- The build carries the load
Five kinds of solution
Our solution groups at a glance.
We group related tasks together. Each group has its own build and its own demands on the data. That way we build faster and reuse what has proven itself.
Assistants
Assistants for writing and speaking, for staff or customers. They know the role of the person asking, draw on your knowledge, and log what they do.
Knowledge management
Systems that answer questions from your own documents. With the source named, and only what the person asking is allowed to see.
Reading documents
Pulling details out of invoices, emails, scans and forms, sorting them and making them consistent. Checked, read over by a person where needed, and passed to your systems.
Agents
Systems that carry out several steps independently. At defined points a person decides, and every step is logged.
Automation
Processes that connect your systems and save handwork: from the inbox into the ERP, sorting requests, reading paper, producing reports.
Industries & Projects
Industries and example applications
Production optimization
AI-supported analysis of production data to identify optimization potential. Live monitoring, recommendations and trend analysis.

Predictive maintenance & service obligations
Predictive maintenance planning based on sensor and service data. Reduces unplanned downtime and tracks compliance with maintenance obligations.
Voice bot & voice assistant
AI-powered voice chatbot for incoming calls — triage, standard answers, handover to human agents with context summary.
AI training
AI training for employees and leadership.
Nine courses in four formats, from a ninety-minute overview for the whole workforce to a multi-week programme for individual departments. People practise on their own tasks, with the tools already in use at your company. The training required under the EU AI Act is part of the catalogue.
kischulungen.com- 5,000+
- professionals trained
- EU AI Act
- compliant training
- Nationwide
- headquartered in Stuttgart
Catalog
Our training programs.
From a basic course for everyone to depth for a single industry.
- Prompt engineering fundamentals
- Microsoft 365 Copilot in practice
- Using artificial intelligence without programming
- EU AI Act for all employees (mandatory)
The full programme lives on kischulungen.com.
All course dates, references and participant testimonials are there.
Further information
Where does AI give you the biggest leverage?
In thirty minutes we work out together where it pays off most for you. Based on how you work, what data you hold, and what is realistically buildable. No general ideas, concrete recommendations.