Integrate AI meaningfully into your grant funding work

In many organizations, two things are happening at once: some team members already experiment with AI tools every day, while others are just getting started. At the same time, new questions keep coming up — about data protection, tool selection, internal guidelines, quality assurance, and how AI really fits into grant funding work.

I help you turn all of this into a shared, sustainable way of working: with training, hands-on formats, concrete use cases, and support during implementation.

In many teams, AI has long since arrived — it just hasn't been sorted out together yet.

Some team members already use ChatGPT, Copilot, Claude, Langdock, or other tools regularly. Others are unsure what's allowed, what's useful, and where to even begin.

At the same time, grant funding teams are under pressure: less time, higher requirements, more complex funding programs, more coordination — and always another tight deadline.

A single introductory seminar can provide orientation. Sometimes that's enough for a start.

But if AI is really going to become part of your grant funding work, you need more: concrete use cases from your organization, well-prepared context materials, first prompts, assistants, or skills — and a plan for what happens after the first workshop.

That's exactly what my team offerings are for.

I don't work with teams on “AI” in the abstract — we work on your real tasks.

That might be grant research, project ideas, application texts, internal knowledge bases, funding strategies, impact logic models, reports, or recurring coordination processes.

The foundation is my KIAD approach:

Kontext · Input & Interaktion · Assistenten · Dokumentation (context · input & interaction · assistants · documentation)

In other words: we don't just look at how to write a better prompt. We look at what information AI needs, how you can work with it effectively, which recurring tasks can be turned into assistants, agent skills, or workflows — and how you document what works.

The goal is not for everyone on your team to become an “AI expert”.

The goal is for you to use AI with more confidence and structure, in a way that truly fits your work.

Working together doesn't have to start with a big process.

We usually begin with a clearly defined first step: either an Impulsseminar (a compact introductory seminar), if you first want to give a larger group some orientation, or a Praxisworkshop (a hands-on workshop), if you'd rather work directly on your own tasks.

If it then becomes clear that you want to build AI into your grant funding work more deliberately, the next sensible step is a longer working format: the KI-Werkstatt (an in-depth AI working lab). There, we work on selected real use cases from your organization.

The outcome of this Werkstatt is a strategic roadmap: a clear assessment of which prompts, assistants, agent skills, data contexts, or workflows make sense for you next, and which steps should take priority.

This roadmap can then lead into ongoing monthly support.

That way, it doesn't end with one good workshop — you have a path from initial orientation through concrete implementation to anchoring AI in your everyday work.

Many organizations have already chosen a tool or are in the process of doing so: ChatGPT Team, Microsoft Copilot, Langdock, Claude, Mistral, or another solution, for example.

That's a good thing.

Because then we don't have to talk about AI in the abstract — we can look directly at:

My focus is on training, concept development, and the practical use of AI in grant funding work.

But team projects in particular sometimes raise additional questions: classic funding research, grant applications, research funding, technical reviews, or implementing more complex workflows.

That's why, when needed, I collaborate with people whose work I hold in high professional regard.

For classic funding research and grant applications, I can draw on the Förderlotsen network. For research and science funding, I work with Sabine Dzuck. For technical reviews and implementation, I can bring in partners such as N3XTCODER.

For you, this means: you don't get an off-the-shelf solution, but support that fits your specific situation.