Project managers spend a large part of their work organizing information: building schedules, assigning tasks, tracking progress, preparing reports, communicating with stakeholders, and responding to changes in plans.
AI project management is changing how some of that work gets done by giving teams new ways to analyze information, automate routine tasks, and create first drafts of project documents.
Understanding how these tools work can help project managers and other business professionals decide where AI may fit into their everyday workflows. Stratford Career Institute’s AI for Business Training course offers an introductory way to explore generative AI, ChatGPT, Microsoft Copilot, and practical uses of AI in business, including project management.
Read on to learn more about how to use AI for project management and some of the best AI tools for project managers.
What Is AI Project Management?
AI project management is the use of artificial intelligence to support the planning, organization, monitoring, and completion of projects.
A project manager still determines what needs to be accomplished and works with the people responsible for getting it done. AI can assist with some of the information-heavy and repetitive work involved along the way.
For example, a project manager might give an AI tool basic information about a new project and ask it to suggest tasks for a work breakdown structure. The manager can then review those suggestions, add missing work, remove irrelevant tasks, assign responsibilities, and adjust the schedule.
How Are Project Management AI Tools Changing How Businesses Operate?
AI is giving project managers another way to process the large amount of information involved in keeping a project moving.
Traditional project management software is largely built around information that people enter and organize themselves. A manager creates tasks, establishes deadlines, updates project status, and reviews dashboards to determine what needs attention.
AI can take a more active role. Depending on the software, it may generate a preliminary task list from a project description, summarize progress, identify delayed work, suggest potential risks, or draft a stakeholder update.
The Project Management Institute (PMI) has recognized the growing role of this technology. In June 2026, PMI published its first global standard for applying AI to portfolio, program, and project management. The standard addresses AI-assisted planning, analysis, decision-making, delivery, oversight, governance, and human review.
AI changes the mechanics of certain project tasks, but project managers still need to decide what information is relevant and what action makes sense.
How Do I Use AI for Project Management?
AI can be useful at multiple points between the initial project idea and final closeout. Common uses include:
- Project planning. AI can take a description of a goal and suggest phases, deliverables, tasks, or a work breakdown structure. The project manager can then revise the output to reflect the actual scope and requirements.
- Scheduling and resource allocation. Some systems can analyze deadlines, workloads, and dependencies to help identify scheduling problems or possible resource conflicts.
- Risk identification. AI can review information on scope, cost, scheduling, and project performance to identify risks that warrant attention.
- Meeting follow-up. AI can summarize discussions, identify decisions, and turn action items into clearer task lists. This can reduce the amount of manual note organization after meetings.
- Progress reporting. AI can integrate task activity with other project data to prepare an initial status report. Project managers can then concentrate on explaining what the information means rather than manually compiling every update.
- Project closeout. Teams may use AI to organize lessons learned, summarize project documentation, evaluate deliverables, and prepare final reports.
These uses show why project management AI tools are becoming broader than simple chatbots. Some are now built directly into the systems where teams schedule, document, discuss, and track their work.
What Are the Best AI Tools for Project Managers?
The right AI tool depends on what you need help with, the software your team already uses, and how much project information you want the AI to access. Some tools are useful for general planning and writing, while others work directly inside project management platforms and can act on current tasks, deadlines, and team activity.
Tools to consider include:
- ChatGPT. ChatGPT can help brainstorm project plans, break goals into tasks, summarize documents, draft stakeholder communications, identify possible risks, and organize information. Its Projects feature can keep related chats, files, and instructions together so you can maintain context for work that continues over time.
- Asana AI. Teams already using Asana can use its AI features to create task information, summarize work, answer project-related questions, and draft project or portfolio status updates. Its Smart Status feature can also highlight open questions and potential roadblocks when preparing an update.
- ClickUp. ClickUp includes AI features through ClickUp Brain, which can summarize project activity, create and update tasks, search workspace information, draft content, and generate progress updates using information from tasks, Docs, and conversations.
- monday.com with monday sidekick. monday.com’s AI assistant works within the platform and can use project context to analyze information, generate content, update work, and take approved actions across connected tools. That can make it useful for teams that already manage projects within monday.com.
- Microsoft Copilot. For organizations using Microsoft’s business ecosystem, Copilot in Dynamics 365 Project Operations can generate task plans, assess project risks, create status reports, and provide a conversational way to work with project information.
Rather than choosing software based on the longest feature list, consider where AI would remove the most repetitive work from your current process. A tool that fits naturally into the systems your team already uses may be more practical than switching platforms solely to gain additional AI features.
Build Your Understanding of AI in Business with Stratford
Knowing how to prompt an AI system is useful, but understanding where the technology fits into actual business work can make those skills much more practical.
Stratford Career Institute’s AI for Business course includes an entire module devoted to AI in project management. Topics include:
- Stakeholder analysis,
- Team collaboration,
- Scope definition,
- Scheduling,
- Budgeting,
- Resource allocation,
- Project monitoring, and
- Risk management.
The broader course also introduces ChatGPT, Microsoft Copilot, responsible AI use, and prompt development.
Our programs use guided independent study, allowing students to learn from home without scheduled classroom attendance. The AI for Business program is an introductory vocational course. It does not provide any certification or fulfill licensing or professional certification requirements.
As AI becomes more closely integrated into planning, communication, analysis, and everyday business operations, learning what these tools can and cannot do may help you decide how they fit into your work.
Contact Stratford Career Institute to learn more about our AI for Business course or enroll online today.
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