Project Management

Using AI and Automation in the PMO

Mike Donoghue is a member of a multinational information technology corporation where he collaborates on the communications guidelines and customer relationship strategies affecting the interactions with internal and external clients. He has analyzed, defined, designed and overseen processes for various engagements including product usability and customer satisfaction, best practice enterprise standardization, relationship/branding structures, and distribution effectiveness and direction. He has also established corporate library solutions to provide frameworks for sales, marketing, training, and support divisions.

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Teams that work with a project management office have the opportunity to see that IT projects are terrifically complex—and that they take their toll on project managers. It’s a constant circus act with the juggling of shifting priorities, a grand parade of resource bottlenecks, a magic act of risks that appear out of thin air, and a trapeze show of dangerous and thrilling weekly status reports.

Times have changed a bit. We are now active participants in the era of artificial intelligence and automation; they aren’t just flights of fancy being name-dropped into executive-level presentations. There are actual tools in place that can meaningfully improve the PMO delivery management process.

Before the hairs on the back of your head start tingling though, these options won’t replace good project managers. What they do, however, is help take over the routine, tedious, manual, and mind-numbingly boring tasks so that personnel can instead focus their energies on subjects like strategy, alignment, and decision-making (you know, the stuff we’re supposed to be doing anyway).

Let’s look at some practical and real-life ways in which AI is actively helping PMOs evolve, particularly when it comes to resource planning, risk prediction, and automated status reporting.

The Tool for Superior and Smarter Resource Planning
When you start the process…


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