Not long ago, automation in project management was limited to task templates and simple integrations between tools. But with the advent of AI technologies, much has changed.
For instance, Machine Learning embedded in project management helps predict deadlines and identify project risks. Natural Language Processing (NLP) allows systems to understand text queries, automate reporting, and summarize discussions. And Robotic Process Automation (RPA) takes care of routine activities such as task status updates, notifications, mailings, and report collection.
These technologies are becoming the basis for modern project management tools. For example, many project managers are familiar with
tools like ClickUp, Asana, and Forecast, which use AI for their functions, greatly simplifying routine work and helping to prioritize tasks, and more.
So far, we see that the benefits are obvious: AI doesn’t replace the project manager (and doesn’t aspire to do so), but enhances project manager’s capabilities.