AI for HR Performance Training

Overview

Participants create reviewed performance-management drafts from approved context while HR and accountable managers retain every employment decision. Participants use approved role and performance context to create reviewed performance-management drafts: a performance/feedback voice, scorecard, aligned goals, check-in guide, observable rubric, evidence-based summary, fairness audit and growth-oriented performance-review narrative. AI reduces blank-page work; HR and accountable managers retain every employment decision.

Who should attend

• Roles: HR performance-management professionals, HR business partners and people managers.
• Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their organisation, market, department and current KPIs.
• Platform access: Either an internal AI corporate platform with agentic coding capabilities, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training.
• Delivery context: Facilitated practice-based 3h workshop. The training provides open data set for practice, and participants can also bring their own sanitized data.

What you will learn

• Make performance culture and feedback expectations observable and reviewable.
• Create and review a role scorecard, aligned goals and check-in guide.
• Build an observable evaluation rubric and evidence-linked performance-summary draft.
• Audit subjective language, weak evidence and bias risk before a manager uses a draft.
• Prepare a respectful performance-review narrative and growth-plan outline with manager accountability.
• Record one safe next performance-management use case, its reviewer and its data boundary.