AI in Project Management

AI can support project work effectively when it is used for specific tasks – for example in communication, reflection, decision preparation or problem-solving. The key is not to use as many AI applications as possible, but to select those that make project work clearer and more effective.

In day-to-day project work, there are many situations in which information needs to be structured, perspectives organized or decisions prepared. AI can support these tasks, but it does not replace professional responsibility or the judgement of the project lead.

In the kick training, participants therefore work on concrete questions and their own use cases. They learn how to use AI as a practical support tool in a way that fits the specific project context.

AI creates value in project management when it supports concrete work – not when it becomes an end in itself.

Effective prompts are clear, context-specific and focused on a concrete objective. Especially for communication tasks, it helps to describe the role, situation, target audience and desired outcome in a way that enables the AI to process the task appropriately.

Vague prompts often lead to generic results. In project work, however, context is usually crucial: stakeholder communication requires different information and a different tone than an internal alignment or the preparation of a difficult conversation.

In the kick training, participants develop tailored prompts for typical communication situations and test them using concrete project-related questions. This helps them build a better understanding of how to design prompts not just technically, but in a way that fits the task.

A good prompt translates a project task clearly enough for AI support to produce a useful working result.

AI can support project communication by structuring content, preparing wording and making different communication situations easier to address in a targeted way. It is particularly helpful when messages need to be adapted to different audiences or complex content needs to be made easier to understand.

Project communication is about more than producing text. It requires judgement, contextual knowledge and an understanding of the specific situation. Responsibility for tone, message and impact therefore remains with the people involved in the project.

kick supports participants in using AI purposefully for typical communication situations and in developing suitable prompts. In this way, AI can reduce the burden of routine tasks without replacing the human judgement that remains essential.

AI can help prepare and structure communication – responsibility for impact and relationships remains with people.

AI can act as a sparring partner by helping to structure decision options, add perspectives and challenge assumptions. In this way, it can support the preparation and reflection of decisions, but it should not replace the person responsible for making them.

Especially in complex project situations, it can be useful to systematically examine arguments, risks and possible courses of action. The real value comes from asking better questions and engaging in a deliberate reflection process.

In the kick training, participants explore how AI can be used to prepare and reflect on decision-making processes. They learn to use AI as an advisory tool and to critically assess its outputs in the context of the project.

AI can help prepare better decisions – the final decision still rests with the person responsible.

Orientation develops primarily through practical experimentation, reflection and working on concrete project tasks. By using AI in different situations and critically evaluating the results, project managers gradually develop a better sense of where AI can add value and where its limits lie.

More complex AI-supported ways of working can quickly seem demanding when considered only in theory. In day-to-day project work, however, what matters is whether the application is understandable, relevant to the context and helpful for the specific task.

That is why the kick training combines prompt development, real use cases, reflection on decision-making and the use of AI as a sparring partner. This helps participants gain greater clarity and confidence in applying AI within their own working context.

Confidence in using AI develops through application, reflection and responsible judgement.

The kick training is designed for project team members and project managers who are familiar with the fundamentals of project management and want to use AI purposefully as a practical support tool in their projects.

The format is particularly suitable for people who do not just want a general introduction to AI, but want to develop concrete use cases for communication, decision-making, reflection and problem-solving.

In the training, participants work on their own questions, develop tailored prompts and explore AI as a support tool in typical project situations. This creates a direct transfer into their own project work.

The training is the right choice when AI is not just being tried out in projects, but used purposefully and responsibly.