AI Playbook: A Comprehensive Framework for Business Analysts Leading AI Projects

Most business analysts feel underprepared when asked to lead AI initiatives. While we're comfortable with requirements gathering and stakeholder management, AI projects introduce new complexities around data quality, model validation, ethical considerations, and deployment strategies that traditional BA training doesn't adequately address.
This meetup talk introduces the AI Playbook—a comprehensive framework built on over 60 industry standards including BABOK, PMBOK, DMBOK, CRISP-DM, IEEE standards, and ISO frameworks. Unlike surface-level guides, this playbook provides deep, actionable documentation covering every phase of an AI project lifecycle, from strategic alignment through deployment and monitoring.
You'll discover professional-grade templates, step-by-step methodologies, best practices, and common pitfall warnings that business analysts can immediately apply to their AI initiatives. While designed specifically for AI projects, these templates and frameworks are robust enough to elevate any software project's documentation and planning. Whether you're preparing for your first AI project or looking to formalize your approach, this session will equip you with the structured guidance needed to lead AI initiatives with the same confidence you bring to traditional projects.

Our Presenter:
Mark Warrick is a seasoned business analyst who has successfully bridged the gap between traditional BA practices and the emerging world of AI-driven projects. With extensive experience across diverse industries, Mark recognized early that AI wasn't just changing what we build—it was transforming how business analysts work. By mastering AI tools and methodologies, he's achieved unprecedented productivity gains while maintaining the rigor and standards that define excellent business analysis. Mark is passionate about helping fellow BAs navigate the AI landscape with confidence, practical frameworks, and proven templates that work in the real world