AI Agents Are The Next Big Thing in Project, Program, and Portfolio Management
Leadership in project management has always been about more than completing tasks; it’s about driving change, inspiring teams, and creating measurable impact. With AI agents, we’ll have the tools to do this better than ever before. The introduction of OpenAI’s AI agents is more than just an upgrade—it’s a turning point for our profession. These tools will allow us to delegate routine tasks and focus our energy on strategy, leadership, and delivering meaningful results. They empower us to work smarter, not harder, by providing actionable insights, improving communication, and optimizing resources.
Learn how AI agents will transform project management.
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Leveraging AI to Transform Portfolio Management and Project Ranking
In today’s competitive landscape, prioritizing the right projects is critical to success. With so many factors to consider—ROI, strategic alignment, risk, and resource availability—keeping a balanced and optimized portfolio can seem daunting. Enter AI, a powerful tool that can support project managers in making data-driven decisions, ranking projects based on potential impact, and continuously adapting as conditions change.
Learn how AI can redefine portfolio management and project ranking, transforming the way we strategize and execute.
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The Claude Projects Tool is a Game Changer
Claude Projects is designed to streamline processes, enhance collaboration, and spark innovation. From software development to construction management, finance, or marketing initiatives, the ability to upload comprehensive project documentation and tailor AI-driven assistance to your specific needs is a significant advantage. Claude Projects is not just a tool. It’s a catalyst for achieving excellence in project management across any industry.
Learn about Claude Projects and how this feature can help with project management in any industry.
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Uncovering Project Overruns with ChatGPT
As project managers, we’ve all faced the challenge of figuring out what went wrong on a project after it’s finished — why it ran over time, blew past the budget, or failed to meet expectations. We tackled this issue head-on by comparing two versions of a project plan — an initial one and a second from six months later. Using ChatGPT, we dove into the details of the project to uncover the real sources of cost overruns and time delays, providing crucial lessons that any project manager can apply.
Learn how to use ChatGPT uncover key project insights.
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Emotional Sprint Retrospectives
In Agile methodologies, we often focus on processes and technical issues. However, integrating ChatGPT for “emotional sprint retrospectives” can revolutionize team dynamics by addressing the emotional and psychological aspects of team performance. This concept, aligned with my principles of making emotional conversations unemotional, offers a novel approach to Agile retrospectives.
Learn how to integrate ChatGPT into Agile methodologies for emotional sprint retrospectives.
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AI Assistance with WBS (goblin.tools)
In project management, the ability to break down complex tasks is critical. Enter goblin.tools, an AI-driven platform designed to help project managers break down intricate projects into logical, actionable tasks. This tool ensures that each component is not only manageable but also time-bound, aligning perfectly with the principles outlined in the PMBOK (Project Management Body of Knowledge).
Learn about the power of task breakdown.
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10 Prompts to Try with ChatGPT-4o
As project management evolves, using cutting-edge technology becomes increasingly essential. The latest iteration, ChatGPT-4o, introduces groundbreaking features that promise to revolutionize project, program and portfolio management.
Learn how to incorporate ChatGPT-4o into your project management toolkit.
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ChatGPT is Your New Tutor for Excel and Google Sheets
In the fast-paced world of project management, efficiency is key. Managing multiple tasks, deadlines and resources requires not only organizational skills but also a strong command of tools like Excel and Google Sheets. Whether you’re tracking metrics, forecasting budgets, or analyzing data, these spreadsheet tools remain go-to solutions. However, mastering their complex formulas and functions can be daunting. Enter ChatGPT, a game-changer for project managers seeking to streamline their tasks.
Learn how ChatGPT can be your personal tutor and assistant in navigating Excel and Google Sheets.
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At last: A Monte Carlo Analysis Made Possible with AI
A Monte Carlo analysis stands as one of the most powerful tools in the arsenal of project management, renowned for its ability to provide detailed risk assessments and predictions. However, this incredible potential often remains untapped, reserved for high-risk, long-term projects. The reason? The sheer volume of detailed information required to execute Monte Carlo simulations effectively. Yet, in the age of artificial intelligence (AI), we stand on the cusp of a revolution that could democratize this tool, making it accessible and practical for a wider array of projects. Learn how AI can power a Monte Carlo analysis.
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Boosting Value Performance Per Day (VPD) with AI
In project management, timely and effective decisions are critical to success. However, the traditional approach is filled with time-consuming tasks that prevent project managers from focusing on what truly matters — creating value. This is where the concept of value performance per day (VPD) comes into play. VPD measures the value a project manager can deliver in a day, directly impacting the project’s success.
In this blog, Morris discusses how AI can enhance VPD with examples and real-world scenarios.
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Resource Management with AI: A Strategic Imperative for Project Success
Effective resource allocation is fundamental to the success of any project management endeavor. Strategically integrating artificial intelligence (AI) into resource management not only refines these processes but also maximizes the use of every project component. By harnessing the power of AI, project managers can navigate complex project dynamics with unparalleled precision, substantially enhancing team performance and overall project outcomes.
Learn how AI augments various facets of resource management and how it can enable managers to plan more effectively, adapt swiftly to changes, and continually optimize resources.
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AI-Driven PM: Fulfilling the Promise of Lessons Learned
Integrating AI and machine learning (ML) into project risk management is not only an upgrade, it’s a fulfillment of the long-held vision of truly learning from past projects. By turning the abstract into the actionable, AI and ML actualize the potential of lessons learned, offering a roadmap that is both informed by history and tailored to the unique contours of each new project.
In this blog, Morris shares a way to turn lessons learned into a risk assessment that can provide actionable insights.
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The Future of PM: Metrics 2.0
In 2012, Morris penned an article titled “Metrics 2.0,” in which he pontificated what the project management world would look like with a strategic, data-driven approach that streamlined operations and bolstered project outcomes and stakeholder satisfaction.
Little did he know that in just a decade, the advent of AI and the widespread adoption of collaborative platforms would revolutionize the way we work.
In this blog, Morris discusses how Microsoft Teams, augmented with AI, transforms into more than just a communication and collaboration platform. “It evolves into a central nervous system for projects.”
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AI Driven PM: Fulfilling the Promise of Lessons Learned
In the realm of project management, the perennial challenge has been not just to navigate the present, but to learn from the past in a way that illuminates the path forward. In his book, “Project Management That Works,” Morris presents a narrative on risk assessment, a process traditionally encumbered by subjective judgments and cumbersome methodologies.
He shares a way to turn lessons learned into a risk assessment that could provide actionable insights. “It is here, at the intersection of aspiration and reality, that artificial intelligence (AI) and machine learning (ML) emerge not just as tools but as transformative forces, making the ideal of learning from past lessons a tangible, impactful reality.”
Learn how to transform lessons learned into risk management strategies and how to embrace AI and ML in project risk management.
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