AI that actually helps in day-to-day work

Generative AI systems, AI agents, RAG systems, generative workflows, and the safe use of AI tools — we build that capability directly into your team, not just in a single workshop.

Generative AI = systems that autonomously generate text, code, or other content. AI agents = systems that can carry out tasks autonomously or semi-autonomously. RAG systems = Retrieval-Augmented Generation systems – systems that draw not only on a model’s trained knowledge, but also on your organization’s own knowledge from internal documents and databases. This page covers the practical tool side of AI – for the regulatory framework (EU AI Act, ISO 42001, EN 18286, EN 18228 et al.), see our page on AI Risk Management.

[01] — WHERE YOU STAND

Is your team’s AI use still missing structure?

Tools tried, not embedded
Some team members already use AI tools, but there’s no agreed-on workflow.
Prompting stays hit-or-miss
Results vary widely because no one has learned to phrase requests systematically.
Unclear boundaries
Where AI-generated content may be used isn’t defined – confidentiality, quality, and liability remain open questions.
No knowledge transfer
The one AI-savvy person on the team stays the bottleneck, and their knowledge leaves the company with them.
Noticeably faster drafts
Field experience shows that teams with established AI workflows report significantly shorter turnaround times on routine tasks.
[02] — THE SHIFT

From hit-or-miss prompts to a reliable workflow

The status quo

Ad hoc prompts with no structure.
Results get reworked one by one.
No toolkit for recurring tasks.
Uncertainty about what’s allowed.

With our approach

Sustainable enhancement of knowledge based on second brain strategies for AI interactions.
Clear quality control before anything is adopted.
Documented workflows for recurring tasks.
Binding guardrails for how AI is used.
[03] — OUR APPROACH

From ad hoc use to established practice

AI competence doesn’t come from a single tool – it comes from a process that turns informal use into a documented, team-wide workflow. Our approach combines four steps: taking stock, developing templates, embedding them into the workflow, and training the team.

01
Taking stock
Where is the team already using AI informally, and where’s the biggest potential for recurring tasks?
02
Developing prompt templates
Jointly tested, documented templates for the most common use cases, instead of hit-or-miss prompts.
03
Embedding the workflow
Templates become part of the existing work process, including quality control before anything is adopted.
04
Training the team & establishing guardrails
Everyone involved masters the workflows themselves, backed by clear rules on confidentiality and quality.
[04] — TRACK RECORD

Tool competence and governance, together

Practical AI competence and AI governance belong together: this page builds your team’s tool competence, while our page on AI Risk Management provides the regulatory framework around it (EU AI Act, ISO 42001, prEN 18286). Decades of experience introducing new methods into teams – now applied to the productive, everyday use of AI.

[05] — NEXT STEP

Ready to put AI to real productive use?

Let’s use a first call to work out where your team stands today and which workflows will pay off fastest.