What AI does in the platform
- Surface context — Summarise activity and artifacts from connected tools
- Recommend or populate evidence — Suggest links between work and objectives or performance dimensions
- Support review completion — Help structure and phrase feedback; prompt with checklist items and evidence
- Reduce admin — Less time gathering examples; more time on evaluation and conversation
What AI does not do
- AI does not decide grades — Managers complete checklists and scorecards; calibration and leadership approve final grades
- AI does not replace evidence — It surfaces and connects evidence; it does not invent it
- AI does not override manager judgment — It assists; the manager remains accountable
How it supports consistency and bias reduction
- Same structure for everyone — AI works within Delivery, Skills, Behaviors and checklists, so evaluations stay comparable
- Evidence in context — Reduces reliance on memory and recency
- Clear, observable prompts — Keeps reviews aligned to the framework and Talent Bar
In the workflow
- Objective setting — AI can recommend or pre-fill from connected systems (see How it works → Define expectations)
- Performance reviews — AI helps link evidence to dimensions and suggests phrasing
- Manager check-ins — Managers can surface context and history when needed