AI agents promise transformation, but many projects stall because stakeholders can’t see the path to return on investment. Without a clear approach to predicting and measuring ROI, projects risk being seen as experiments rather than investments.

In this session, Hamish Sheild will share a practical framework for predicting and proving ROI for Copilot Studio projects, based on design sprint principles and real-world client work.

You’ll learn:
- How to frame AI opportunities in business terms that resonate with executives.
- Methods for predicting ROI through value mapping.
- How to have value conversations with senior leaders and use AI to help.
- How to build solutions that measure evidence of impact (including a demo).
- Case studies where Copilot Studio projects delivered early wins and accelerated adoption by proving value quickly.

This session equips consultants, developers, and business leaders with tools to move beyond “AI hype” and instead build a compelling, evidence-based case for AI agents that aligns with strategic goals and delivers measurable outcomes.