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The Rise of the AI-Powered PMO: Skills and Strategies for Thriving in an AI-Augmented Project Landscape

The IIL Blog

By Ruchi Gupta, PMP ® , PgMP ® , PMI-ACP ® , PMI-RMP ® , SAFe, DASSM, SIP, Jira CBAP ® The accelerating rise of Generative AI tools like ChatGPT, Gemini, Copilot, and others is rapidly reshaping the way project management operates. The Project Management Office (PMO) is no exception.

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Revolutionizing Project Management: The AI-Driven PMO and Its Transformative Potential

MPUG

As PMO Leaders, we need to adopt a fresh perspective. Source: But let’s back up and take a closer look at that definition again; “AI is the capability of a computer program or machine to mimic human-like behavior.” We focus on leveraging these AI tools to improve processes as well as decision-making capabilities.

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Artificial Intelligence and Project Management: The First Step

The IIL Blog

Risk Management. Effective risk management has to be proactive. AI enables predictions that are more accurate than traditional software solutions in determining risk responses, probabilities, and their impact. This is the first step towards AI by project managers. Active Assistance.

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Leveraging AI in Project Management: 8 Areas for Impactful Predictions

MPUG

The foundation supporting this cornerstone is that an organization must be ready for AI. Somehow, all historical data from projects, documentation, metrics, risk analysis, organization goals, and monitoring, external data (e.g., This capability enables better planning and time management, reducing the risk of schedule slippage.

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Harnessing the Power of AI in Project Management Workflows

NimbleWork

Below, we’ll look at 5 workflows and simple ways you can tweak what you currently do to take advantage of efficiencies from AI. You can streamline the process by using AI-powered similarity features to identify risks that might apply to this project. That’s where AI comes in. Source: ligsuniversity 2.