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AI performance reviews: faster, fairer, and still decided by managers

How AI can draft reviews from a year of real evidence, and the rules that keep the final rating in human hands.

Frontifier

Twice a year, managers sit down to rate people on work they half remember. The result is predictable: reviews shaped by the last few weeks, ratings that depend on who writes most persuasively, and HR teams chasing forms instead of improving them.

AI can fix much of this, if it is used for the right job. That job is gathering evidence and drafting. Deciding is the manager's.

Where AI helps

The rules that keep it fair

The goal is not to let AI judge people. It is to make sure managers judge them on the whole year.

What changes for HR

HR spends less time chasing forms and more time on calibration and development. Employees get reviews that reflect their whole year, in their own language, with the evidence visible to them. And the conversation shifts from "what do you remember?" to "here is what you did; what comes next?"

How Orbit does it

Orbit is our AI-first performance management tool, now in development. HR models the company and drafts templates from a brief, employees set goals and KPI targets for managers to approve, and Jira work and HR data flow in all year. At review time, AI suggests a rating per KPI with cited evidence, and the manager decides. Orbit works fully in Arabic and English, masks personal data before it reaches any AI provider, and runs in the cloud or on your own servers.

See how it works in practice.

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