With organizations increasingly focusing on cost reduction and improved efficiency through AI adoption across projects, Project Managers are also evolving the way they drive, manage, and deliver projects.
Depending on the nature of the project, AI can significantly improve efficiency, especially when PMs adopt and integrate AI tools effectively into their day-to-day activities.
In my role, where I work on SaaS implementations for customers, I leverage Enterprise ChatGPT extensively by creating dedicated Projects and GPTs for reusable PM activities. Some of the areas where AI has helped include:
- JIRA analysis for aging items, dashboards, and insights
- Automated email responses in Outlook
- Automated Slack responses
- Using SharePoint documents as a RAG knowledge base
- PPT creation, including kick-off decks and solution presentations
- Status summaries and executive updates
- Risk management
- Other recurring PM activities
For many of these activities, I have observed up to a 40% reduction in effort.
Of course, the actual efficiency gain may vary based on the type of project, organization, AI tools used, and how deeply AI is embedded into PM workflows.
We would love to hear your thoughts and experiences:
How much time are PMs saving by using AI?
Please share your inputs in the following format so the insights can be useful across different types of projects:
Nature of Project:
Example: Product Development, Embedded, ERP Implementation, Gaming, SaaS Implementation, etc.
Percentage of Effort Saved as a PM Using AI:
Example: 10%, 25%, 40%, etc.
AI Tools Being Leveraged and How They Help:
Example: ChatGPT, Copilot, Gemini, Jira AI, Slack AI, Notion AI, etc.
Details / Examples:
Please share specific PM activities where AI has helped, such as reporting, risk management, stakeholder communication, documentation, planning, or governance.
Looking forward to learning from the community’s experiences.
Community Champion
