AI is already influencing day-to-day work across planning, delivery, documentation, analysis, communication, and decision support. For Scrum Masters, agile PMs, agile delivery leads, coaches, and similar leaders, the challenge is often less about the technology itself and more about how to help teams use it responsibly, consistently, and in ways that improve outcomes rather than create avoidable risk.

This session presents a practical, lightweight approach to AI governance for real delivery environments. It focuses on how leaders close to the work can help teams align AI use to meaningful business and delivery needs, apply appropriate data and tool discipline, and put workable guardrails in place around accountability, risk, and adoption.

Rather than treating governance as a heavy compliance exercise, this talk frames it as part of good delivery leadership. It is about creating clarity, improving judgment, and helping teams move forward thoughtfully as AI becomes part of everyday work.

Attendees will leave with a practical framework they can apply in project, agile, and cross-functional delivery settings without adding unnecessary bureaucracy.

Target audience: Scrum Masters, agile coaches, agile delivery leads, project managers, program managers, delivery managers, PMO practitioners, and related team and delivery leadership roles.

Suggested session length: 45-60 minutes, Q&A incorporated throughout the session.

Also suitable for audiences in project management, agile, product, software delivery, and digital transformation communities.

No technical setup required beyond standard presentation capability.