Rolling Out AI in Performance Management Without Losing Trust

Bringing AI into performance management is a high-stakes change. Done well, it gives managers better support and employees a clearer picture of their growth. Done carelessly, it can damage trust in ways that take years to repair. This course steps past the technology and into the change management discipline that decides which outcome you get. You will work through written scenarios that mirror the planning, rollout, and steady-state operation of AI-supported performance management in different organizational contexts. The course also addresses governance, communication, and the long-horizon commitments that sustainable deployments require. What you'll learn: - Plan rollout in phases that build trust with employees, managers, and HR partners - Communicate transparently about what AI does, what data it uses, and where humans remain in control - Train managers to use AI outputs as a starting point for coaching rather than a substitute for judgment - Design governance routines including bias audits, employee feedback, and policy reviews - Integrate AI-supported performance with broader people processes including pay, promotion, and learning - Plan ongoing evaluation including employee surveys, manager interviews, and outcomes analysis The course begins with the change management foundations, moves through rollout and communication, and finishes with governance and ongoing evaluation. A capstone written exercise asks you to draft a one-year rollout and governance plan for AI-supported performance management in a specific organization type. This course is designed for HR leaders, change management professionals, and technology integrators bringing AI tools into established organizations. No prior AI experience is required. The course respects how real organizations work and treats trust, transparency, and human judgment as first-class concerns.