AI Practice Controlling: Project Controlling
Tools – Case studies – Hands-on projects
Contents
Self-study phase before training:
Generative AI in project controlling
Introduction to project controlling with AI support
- Use of predictive models to forecast project success (costs and time).
- Automated tracking of project status based on defined KPIs.
Presentation of relevant tools and technologies
- ClickUp AI.
- Smartsheet.
- Teamwork AI.
AI as an early warning system: target/actual comparisons in Smartsheet
- Deviations between planned and actual values.
- Analysis of progress data, prioritization, and alerts.
Identifying risks with AI: Risk management with ClickUp AI
- Discover risk information.
- Risk reports and countermeasures.
Resource management with AI: Planning capacities with "Teamwork AI" and "ClickUp AI"
- Analysis of workloads, available capacities, and deadlines.
- Intelligent prioritization of tasks.
- Adjustment of schedules.
Budget planning with AI: Intelligent forecasts with Smartsheet
- Create realistic forecasts using historical project data.
- Automatically explain cost variances.
- Predict future budget risks.
AI practice
- Monitoring of project costs and schedules.
- Creation of a dashboard for real-time monitoring of project KPIs.
- Derive recommendations for action.
Case study
- As part of the case study, you will develop practical skills in how AI tools can be effectively used and applied in the various phases of a project.
Hands-on projects
- You will independently develop a simple monitoring dashboard or risk analysis for a sample project based on the data provided.
- Implementation of own projects.
- Presentation of the results.
Outlook, questions & answers
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- Practical relevance: Direct application of AI tools in a realistic case study.
- Increased efficiency: Automation and optimization of project controlling processes.
- Forecast accuracy: Early detection of risks and deviations through AI-supported analyses.
- Competitive advantage: Developing modern controlling skills for digital transformation.
Methods
A mix of methods including expert input, presentations, live demos, practical examples, exercises, case studies, group work, and individual work.
Technical requirements:
- Laptop/PC with a stable internet connection.
- Willingness to work with Excel-based data sets.
AI tools play an important role in this selected training from the Haufe Akademie .
Please note – general information on data protection:
Registration is required for these tools in order to ensure an optimal learning experience. Registration is voluntary. It is also possible training in training without registering. The providers of these services generally process the data on their own responsibility.This means that they are responsible for complying with applicable data protection regulations and ensuring the security of the processing.
Haufe Akademie no contractual relationship with the provider; participants must agree to the terms of use independently. We recommend using an e-mail that does not reveal your identity.
Details on processing can be found in the privacy policy of the respective tool.
Tool
Recommended for
controllers, project controllers, specialists and executives with project responsibility, and managers who want to use artificial intelligence efficiently in project controlling.
For optimal learning success, a sound knowledge of project controlling is required. It is recommended that you first take part in training "Successful Project Controlling in Practice,"as this covers the basics and organization of project controlling as well as the theory and practical application of the project controlling toolbox.
Further recommendations for "AI Practice Controlling: Project Controlling"
Start dates and details
Wednesday, 25.03.2026
09:00 am - 1:00 pm
Thursday, 26.03.2026
09:00 am - 1:00 pm
Friday, 27.03.2026
09:00 am - 1:00 pm
Monday, 29.06.2026
09:00 am - 1:00 pm
Tuesday, 30.06.2026
09:00 am - 1:00 pm
Wednesday, 01.07.2026
09:00 am - 1:00 pm
Monday, 14.09.2026
09:00 am - 1:00 pm
Tuesday, 15.09.2026
09:00 am - 1:00 pm
Wednesday, 16.09.2026
09:00 am - 1:00 pm
Wednesday, 18.11.2026
09:00 am - 1:00 pm
Thursday, 19.11.2026
09:00 am - 1:00 pm
Friday, 20.11.2026
09:00 am - 1:00 pm
Monday, 01.03.2027
09:00 am - 1:00 pm
Tuesday, 02.03.2027
09:00 am - 1:00 pm
Wednesday, 03.03.2027
09:00 am - 1:00 pm