What Can Artificial Intelligence Do For Project Management?

As stated by the Project Management Institute, the notion of artificial intelligence (AI) is now enthralling the globe. This is for a good purpose. AI is the future, AI is already being used in candidate interviews, and you've probably welcomed it into your kitchens, living rooms, and workplaces, as I have, in the shape of Alexa and Google products, and the list of things it can and will do for us is expanding rapidly — on a daily basis. The potential is limitless, and it is improving on a regular basis.

If AI can save lives like this, it's safe to assume it can also help us manage projects more effectively. It may be too expensive for certain firms, but it might be essential in the long run for precise administration of PM solutions and projects, as well as cost and time savings. What can artificial intelligence (AI) do for your project management infrastructure and PMO practises and strategies? Consider this:

·         Team meetings. 

If everything is configured correctly, AI could listen in on team meetings and collect all of the status update information, then update things like the project schedule, issues list, risk ledger, change orders, and other key project information with the most up-to-date progress and status information.

·         Status calls.

If AI can listen in on 911 dispatch conversations and detect signals of cardiac arrest in prospective call-in victims, it can certainly be trained to listen in on project status calls and detect confident and anxious tones from both the customer and project delivery teams.

·         Change orders.

AI may listen in on client status calls, as well as other important conversations and emails, and sort out talks with demands that appear to be out of scope. As stated by the Project Management Institute, having AI predict the need for project change orders in the future might significantly increase a project's income and profitability, as well as turn the entire scope management process on its head!

·         Issue tracking. 

Because AI learns the issue tracking and reporting methods as well as the project's goals and mission, milestones, and technology in use, whatever we can have AI track on the project certainly assures higher accuracy and possibilities for aid with solutions.

·         Risk assessment.

AI might be useful for finding, tracking, analysing, and managing the whole risk process throughout the project, just as it could be for problem tracking. As more data is collected on a single project and throughout a company's portfolio, AI learns and grows.

Summary / call for input

As I learned when preparing for the PMP and Scrum Master Certification, the bottom line is that AI will play a significant part in tech project solutions, as well as in the delivery structure and methodology for tech-centric project management companies, not if, but when. It will be beneficial if used intelligently, as it will save time and money while also considerably enhancing our PM capabilities, in my view. Project success may be easier to achieve, and fewer project failures would be beneficial. However, with AI, we must be cautious and handle any dangers and concerns - it will learn quicker than we can!