HR, legal, IT, and senior leadership typically can approve AI use in HR, depending on how much the tool affects employees. Low-risk uses like scheduling may need only a sign-off from HR. But automated hiring calls (like screening calls carried out with generative AI) usually require senior leadership or a governance committee. Often, the levels of review are based on how risky the use-case is.
Why approving AI use is a governance question
Buying an AI tool and approving how it runs are not the same thing. A tool that screens resumes or flags performance patterns affects whether the process treats people fairly, and the people affected may never see how anyone reached the call.
Approving its use means someone has reviewed what it does, what data it touches, and what controls are in place. When no one formally owns that review, teams adopt tools on their own and the employer loses sight of how outcomes are reached. That gap is where regulatory and reputational risk builds.
Common roles in the review process
- HR leadership: owns the process the tool supports and evaluates how it affects employees.
- Legal or the regulatory team: reviews whether the tool creates risk under employment or privacy rules
- IT or security: assesses data access, how systems connect, and what technical controls exist.
- Senior leadership or a cross-functional committee: oversees high-impact use cases.
Organizations who are considering how to use AI in HR can pin down who has a say and when.
How the level of risk determines who gets involved
Not every AI use needs the same level of review. Workflow tools and scheduling assistants carry low risk and may need a sign-off from HR. Candidate screening or performance analytics sit in the middle and typically bring in legal or IT. But automated hiring calls carry more weight and usually require senior leadership to approve.
How employers structure the review
- A set of pre-approved use cases that do not need case-by-case review.
- A tiered process where higher-risk uses involve more teams.
- Documented scope, purpose, and review checkpoints for each approved tool.
TL;DR
- Multiple teams approve AI use in HR, not HR alone.
- HR owns the process, legal reviews risk, IT assesses data, senior leadership oversees high-impact uses.
- Tier the review by risk and document scope and purpose for each tool.