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AI: The Next Phase of Project Management




The project management profession has evolved considerably over the past 50 years, the complexity of the projects & tasks increasing day by day. Thereby, project managers are often pressurized to make rapid decisions. It’s now more efficient and productive when the project management integrated into AI, and it will continue to evolve and thrive in the new era of project management.

 How AI proposes to do this better?

•  The project manager gets an alert that something is wrong. They pick up their Smartphone. And through a natural interaction like a text or a voice chat, they’re able to create a task for someone to investigate the alert.

• Looking at the updated task, the AI understands the issue and can take the appropriate action right away.

• Meanwhile, all this gets logged in the project management database: the alert, the task, the foreman’s follow up, and a picture of the situation. The project manager can use this to decide what needs to be done next.

• Later, when the project manager is planning their next project, a machine learning algorithm alerts them to where a similar issue is likely to arise in the new project, enabling the project manager to proactively address the issue.

• Ultimately, save your time while improving outcomes for your projects and team.

All of these types of methods  play a role in bringing intelligence to the project management discipline—and in making project management more accessible to everyone that has a stake in  it


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