Artificial intelligence has moved well beyond science fiction, it's now embedded in the everyday tools project managers and business analysts rely on. From automating status reports to predicting project risks before they materialize, AI is changing how projects get planned, tracked, and delivered. But does it genuinely enhance the work, or just add another layer of complexity?

This session takes a clear-eyed look at AI's real impact on project execution, exploring where automation creates measurable value and where human judgment remains irreplaceable. You'll examine practical AI applications across the project lifecycle, discuss how roles are shifting as a result, and walk away with a grounded perspective on separating genuine capability from overhyped promises, plus ideas you can apply immediately.

𝗞𝗲𝘆 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀:
✔ 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 𝗿𝗲𝗮𝗹 𝘃𝗮𝗹𝘂𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲. Pinpoint the specific tasks (reporting, scheduling, risk forecasting) where automation measurably improves project outcomes.
✔ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗵𝗼𝘄 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗿𝗼𝗹𝗲𝘀, 𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝘁𝗵𝗲𝗺. Explore how project and analysis responsibilities are evolving as routine work shifts to AI, and what skills matter more as a result.
✔ 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗴𝗲𝗻𝘂𝗶𝗻𝗲 𝗔𝗜 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗳𝗿𝗼𝗺 𝗵𝘆𝗽𝗲. Build a practical framework for evaluating AI tools and claims, so you can make confident, evidence-based decisions for your projects.

𝗧𝗮𝗿𝗴𝗲𝘁 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲:
This presentation is designed for business analysts, project managers, and BA/PM hybrids who want a realistic, no-hype assessment of AI's role in project delivery. It's especially relevant for practitioners involved in planning, reporting, risk management, and stakeholder communication who are wondering how their day-to-day work will change. Whether you're skeptical of AI's promises, cautiously optimistic, or already using AI tools and want validation or new ideas, this session offers a balanced, practical perspective. Team leads seeking to guide their teams through AI adoption will also find actionable takeaways.