This article probably needs no introduction—we all know what AI is, the potential it has to disrupt almost every industry (including project management), and what ChatGPT is. I’ll spare you an intro in which I recap the hype train we’re all on.
In the interest of providing you with some useful information on how you might start using AI in your day to day project tasks (which so many LinkedIn-fluencers try and fail to do), here’s a roundup of ways project managers are using it right now.
Image Credit: PeopleImages/istockphoto.
9 Use Cases For AI In Project Management Right Now
There’s plenty of tools out there beyond just ChatGPT (although most of these use cases were tested in ChatGPT)—Notion has released an AI tool, as have Jira and ClickUp.
As you’ll see, in most of these examples, the project manager notes that they had to check and edit things themselves. At the moment, AI is another tool which needs human intervention—it can get things wrong (or sometimes make things up!), so it still needs a human touch.
Image Credit: Prostock-Studio/istockphoto.
1. Drafting Communications With Stakeholders
Sometimes you need a little help wording that email or Slack message. Maybe you’ve already written the message and need some suggestions to improve your tone or cut it down. Either way, AI tools offer a fast shortcut to the 10 or 15 minutes you might waste away trying to edit it yourself.
Image Credit: Sanja Radin/istockphoto.
2. Turning Project Briefs Into Project Plans
Once you’ve nailed down a project brief, building it out into tasks and phases can be a tedious task. AI is great for speeding up these manual, arduous processes. You’ll be able to slap the tasks and due dates into your project management software (after a thorough once-over, of course).
Image Credit: g-stockstudio/istockphoto.
3. Generating Time Estimates
Sure, they might not be the most accurate, but your team members likely aren’t accurate 100% of the time either.
As mentioned here, it’s a starting point and as any good project manager knows, you should aim to under-promise and over-deliver. Whatever project estimate the AI gives you, keep this in mind.
Image Credit: @d_feldman.
4. Brainstorming Risks
Start by giving the AI an overview of the project scope (make sure to remove any sensitive or proprietary details!) and ask it to generate some risks. Again, you can use this as a starting point.
It can probably give you a few you might not have thought of (especially if you’re new to managing risks), and you can use its output as a jumping off point to generate other ideas.
Image Credit: nensuria/istockphoto.
5. Brainstorming Ways To Reduce Budget
Stuck with a budget that feels too small? AI might have some ideas for making it work! You’ll enter an overview of your scope again, and ask it to generate some ideas for reducing your currently planned budget.
Don’t just follow its advice blindly, though! Make sure its suggestions make sense for your project, especially if you haven’t given it all the nitty gritty details.
Image Credit: DPM.
6. Writing Project Documentation
AI can write some project documentation for you, as long as you give it the right parameters. You’ll once again need to make sure not to share any sensitive details with it, but it will give you an outline that you can fill in with those sensitive details later. You’ll get a leg up on filling out your project documents with less hassle.
Image Credit: Jacob Wackerhausen/Istockphoto.
7. Researching Project Background
Get a head start on your background research—try asking it questions you might normally go to an SME for. Of course, you’ll still want to run what it says by a real person at some point, but starting with AI can save time.
And as this particular person mentioned, they still do end up speaking to an SME, which is important when working on projects you’re not an expert in.
Image Credit: monkeybusinessimages/Istockphoto.
8. Clarifying Technical Communications
For project managers in more technical roles, part of the job is communicating all those technical bits to non-technical people, which can be a challenge.
The use of AI in project management can save you time by helping to simplify and clarify technical language, so you can keep regular communications with your stakeholders running smoothly. Paste in your text and ask it to simplify your language.
Image Credit: insta_photos/istockphoto.
9. Assessing Project Health
Even if you’re tracking the right KPIs for monitoring project health and progress, sometimes those KPIs don’t show that there’s a problem until it’s too late.
You need to find the leading indicators and warning signs—AI can help you there. If you feed it your list of KPIs and success metrics, you can ask to identify which of those are leading indicators.
This article originally appeared on thedigitalprojectmanager.com and was syndicated by MediaFeed.org.
Image Credit: JLco – Julia Amaral/istockphoto.
More from MediaFeed
12 Reasons Why Project Management Is Important
Image Credit: PeopleImages/Istockphoto.
