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As recruitment evolves, so does the technology behind it. One area gaining real traction is the use of agentic AI to support and streamline the interview process, particularly when it comes to gathering and sharing feedback.

Agentic AI refers to tools that can act autonomously, helping hiring teams save time, reduce bias, and identify insights from multiple interviewers. But while the potential is exciting, it’s important to weigh the benefits against the challenges.

Here’s a closer look:

Pros

 

Improved consistency across interviewer feedback

AI can identify recurring themes across feedback forms and highlight where opinions align—or conflict. This gives hiring managers a more balanced view, especially when multiple stakeholders are involved.

Saves valuable time by automating synthesis

Instead of manually pulling together notes from different interviewers, AI can consolidate responses and generate a clear summary in minutes. This speeds up decision-making and reduces delays.

Reduces bias by focusing on objective input

By analysing written feedback at face value, AI helps reduce the impact of unconscious bias. It doesn’t factor in likeability or tone of voice—just what’s been said.

Provides clear, actionable recommendations

Based on trends and patterns in feedback, agentic AI can offer suggested next steps—whether that’s progressing a candidate, exploring other roles, or identifying areas for deeper assessment.


Cons

Quality depends on the detail and honesty of input

AI can’t make weak feedback stronger. If the input is vague, brief, or biased, the output will reflect that. Consistent, quality note-taking is still essential.

May miss subtle human context and intuition

While AI is great at summarising facts, it may not pick up on softer skills, team fit, or emotional intelligence—areas where human judgement is critical.

Risk of over-reliance on AI-generated summaries

There’s a danger that teams could treat AI summaries as final. While useful, these tools should support—not replace—thoughtful hiring discussions.

Potential concerns about transparency and candidate trust

Candidates may be cautious if they know an AI played a role in assessing their performance. Transparency and ethical use are key to maintaining trust in the process.


Final Thought

Agentic AI offers real value in modern recruitment, particularly when it comes to consolidating feedback and accelerating decisions. But it’s most effective when combined with human insight, ethical practice, and clear communication.

Curious how AI could support your interview process? Get in touch to find out how we support organisations throughout the recruitment process.

 

 

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