Microsoft Agentic AI Course: Generative AI for Project Managers in India

Generative AI and Agentic AI can support project managers across different stages of a project.

Project planning and scheduling

Project managers can use Generative AI to create an initial project plan, break large goals into smaller tasks, prepare timelines, and organize priorities. The output can then be reviewed and adjusted based on project requirements.

Agentic AI can support planning workflows that involve several connected activities. For example, an AI workflow could organize project requirements, identify dependencies, and prepare information for a planning discussion.

Risk and issue management

Risk management involves reviewing project information and identifying issues that may affect delivery. Generative AI can help summarize risks, group similar issues, and suggest possible mitigation actions.

Agentic AI can support a wider process by helping collect relevant information, identify items that need attention, and prepare an updated risk summary. The project manager should still make the final decision because AI may not understand every business or project factor.

Project reporting

Creating weekly or monthly reports can take a significant amount of time. AI can help turn project updates into structured summaries, highlight important changes, and prepare draft reports.

This allows project managers to spend more time reviewing project performance and discussing issues instead of repeatedly creating documents.

Stakeholder communication

Project managers communicate with team members, clients, business leaders, and other stakeholders. Generative AI can help prepare meeting agendas, emails, progress updates, and executive summaries.