A recruiter at a 200 person staffing firm spent her first year evaluating 12 different AI recruitment tools. Her conclusion was honest. Most of them automated the parts of her job she actually liked. None of them touched the parts she hated.
She liked the candidate conversations. She liked the negotiation. She liked reading a transcript and spotting the moment a hiring manager changed their mind. She hated chasing feedback. She hated reformatting notes. She hated rewriting the same intake summary for every new role.
That is the right way to think about AI agents in recruiting. Delegate the work that has no judgment in it. Keep the work that has nothing but judgment.
A clean delegation list looks like this. Delegate calendar coordination, transcript capture, scorecard drafting, candidate followups, and the first pass on feedback synthesis. Keep the intake conversation with the hiring manager, the human screen, the negotiation, and the final call on signal versus noise.
Most failure modes come from inverting this. Teams delegate the intake call to an agent and the candidate feels like they are talking to an IVR. Or they keep the scorecard drafting and recruiters end up retyping the same eight competencies for the tenth time this month.
Platforms like Mazle deliberately sit on the delegation side. The agent does the intake structuring, captures the panel signal, drafts the synthesis. The recruiter still makes the call. The split is not 50 50. It is 90 percent agent on grunt work, 100 percent human on judgment.
If your AI agent is making hiring decisions, you bought the wrong tool.
