The Planning and Automating Projects with AI training enables participants to discover how artificial intelligence can support project management, coordination and operational oversight activities. It helps them structure tasks more quickly, prepare action plans, clarify priorities and automate certain follow-up or communication steps.
A practical training course for project managers and coordinators looking to boost efficiency
During this training course, participants learn to use AI to frame a project, turn notes into action plans, prepare summaries, organize tasks, formalize follow-ups and streamline certain project routines. The course emphasizes the quality of structuring, action consistency and the integration of AI as a support tool for project oversight. Participants work through realistic project scenarios and leave with templates and methods they can use immediately.
Module 1: AI for Planning and Project Oversight
Module 2: Structuring a Project More Quickly
Module 3: Preparing Follow-Ups and Action Plans
Module 4: Automating Certain Project Routines
Module 5: Improving Coordination with AI
Module 6: Precautions and Best Practices
Project management benefits significantly from artificial intelligence. Planning, progress tracking, risk management and project communication are activities where AI can deliver significant gains in efficiency and quality.
Project managers who master AI tools can handle more complex projects, anticipate problems and communicate more effectively with their stakeholders.
AI helps break down a project into tasks, estimate workloads, identify dependencies and build a realistic schedule. It can analyze similar past projects to refine estimates and propose appropriate breakdown structures.
Creating risk matrices, stakeholder registers and communication plans can be accelerated by AI, which proposes templates adapted to the type and size of the project.
Project tracking involves collecting, analyzing and communicating progress information. AI can synthesize progress reports, identify deviations from the plan and flag risks of drift. The production of dashboards and milestone reports is considerably accelerated.
Predictive analysis helps anticipate potential delays by analyzing progression trends and identified risk factors. This anticipation capability is particularly valuable for large-scale projects.
Communication is a key success factor for projects. AI helps write meeting minutes, scoping notes, follow-up emails and governance presentations. It can adapt the level of detail and vocabulary to the target audience, whether it is a technical team or a steering committee.
Automatic summarization of project exchanges, decisions taken and actions to be carried out maintains complete traceability without additional documentation effort.
AI transforms the project manager’s role by freeing them from time-consuming administrative tasks. It allows them to focus on leadership, problem-solving and team support, which constitute the core added value of project management.
ITTA offers this training in Geneva and Lausanne to support project managers in French-speaking Switzerland as they integrate AI tools into their daily project management practice.
Companies in French-speaking Switzerland face specific automation challenges. Labor costs, talent shortages in certain fields and growing productivity demands create a favorable context for adopting AI-powered automation. Organizations that invest in these technologies see a rapid and lasting return on their investment.
The Swiss technology ecosystem provides a conducive environment for intelligent automation. Locally available cloud infrastructure, clear data protection regulatory frameworks and the digital maturity of businesses facilitate the deployment of automation solutions. Team training is the cornerstone of successful transformation, ensuring that internal skills keep pace with technological evolution.
Project managers trained in AI usage have a set of tools and methods that accelerate every phase of project management. They are able to plan faster, communicate more effectively and anticipate risks with greater precision. This capability increase allows them to manage more complex projects and deliver higher-quality results within optimized timelines.
Can AI manage a project from start to finish?
No, AI assists the project manager but does not replace them. Decision-making, human relationship management and conflict resolution remain exclusively human skills.
Which AI tools are most useful in project management?
Generative AI tools like ChatGPT and Claude are the most versatile for planning, writing and analysis. Specialized tools also exist for estimation, tracking and reporting.
Can AI help with agile methods?
Yes, AI can assist with writing user stories, sprint planning preparation, retrospective summaries and burndown tracking. It adapts to Scrum, Kanban and SAFe frameworks.
How can project risks be managed with AI?
AI helps identify potential risks by analyzing the project context, assess their probability and impact, and propose mitigation strategies. It can also continuously monitor risk indicators.
Is AI suitable for small projects?
Yes, AI gains are proportional regardless of project size. For small projects, AI enables rapid planning structuring and quality documentation production without disproportionate effort.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
