Paper and Presentation: AI in Project Management: From Reactive to Predictive – AI Agents That Detect Risk and Automate the Noise
Abstract: You’re a delivery leader, not a detective, so why do you spend half your day hunting for information scattered across project tools, collaboration platforms, Excel sheets, SharePoint, and endless email threads? Can you answer ‘what’s blocking us right now?’ without checking five tools and three spreadsheets? If not, your PM tools are creating silos, not solving them.
The problem isn’t a lack of tools; it’s a fractured context. Traditional PM platforms track structured data in your task management systems, while critical early warning signals hide in Slack conversations, Teams chats, meeting notes, Excel spreadsheets, and team behavior. PMs spend hours pulling data from scattered sources, tracking dependencies across systems, and chasing resource availability. By the time dashboards show red, the damage is done.
AI transforms this by becoming your execution intelligence layer. Instead of another tool to check, AI works across your entire ecosystem, analyzing both structured project data and unstructured team communications to surface what traditional dashboards miss. It integrates with your project management tools, collaboration platforms, spreadsheets, meeting transcripts, and communication channels to extract decisions and deadlines, track dependencies in real-time, and identify bottlenecks while you still have time to act. The AI spots patterns that precede failures: resource conflicts brewing in chat threads, scope creep hidden in meeting notes, and dependencies stalling across platforms.
The result? You shift from reactive dashboards to predictive foresight. AI automates the tedious work – status synthesis, dependency mapping, data consolidation, and meeting intelligence, so you can focus on strategic intervention. It centralizes fractured information into actionable intelligence, answering “what’s blocking us?” with context, not just data.
This session shares the practical framework for implementing AI-powered automation and predictive intelligence that protects timelines and revenue.
PMI Talent Triangle: Ways of Working
Biography: Dr. Gloria Enjuweh, “The Execution Doctor,” is the Founder & CEO of ExecuteIQ, a Predictive Autonomous Intelligence OS that helps delivery leaders predict and prevent project failures before they impact timelines and revenue. With over 10 years transforming government and Fortune 500 enterprises across telecommunications, retail, and financial services, Dr. Gloria combines Lean Six Sigma process excellence, Agile transformation expertise, and cutting-edge AI strategy to help organizations shift project delivery from reactive firefighting to proactive prevention.
Currently serving as a Senior Agile Delivery Lead for mission-critical federal programs with Active DoD Secret Clearance, Gloria was recently honored with the 2025 Innovation Award from the U.S. District of MAD for delivering a complex system upgrade under budget and ahead of schedule.
She holds a Doctorate Degree from Tufts University with R&D focus and executive certificates from Harvard Business School (AI Essentials for Business), MIT Sloan (AI: Implications for Business Strategy), UC Berkeley Haas (Data Strategy), and Stanford Graduate School of Business (Digital Transformation & AI Playbook). As a PMP, SAFe RTE, SPC, and ICAgile-certified coach, Dr. Gloria publishes “The Execution Intelligence Report,” a weekly newsletter for 1,600+ delivery leaders.
Gloria combines hands-on delivery expertise with AI innovation to help organizations predict project failures before they cascade, automate manual PM work, and build execution intelligence that protects both timelines and revenue.
