HR & Recruiting

Using AI for interview prep

AI assists with interview preparation so recruiters can be better informed and more consistent going into candidate conversations.

Why the human is still essential here

Interviewers and recruiters still exercise judgment, assess evidence, and make the final evaluation calls.

How people use this

Candidate briefing packet

AI generates a concise interview brief with resume highlights, role context, and areas to probe before the call.

Metaview / BrightHire

Structured question draft

AI suggests competency-based interview questions and scorecard prompts aligned to the role's requirements.

ChatGPT / Greenhouse

Panel note recap

AI summarizes earlier screens and panel feedback so interviewers can avoid repeating questions and focus on unresolved gaps.

BrightHire / Metaview

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

Related Prompts (2)

Latest community stories (1)

Opinion
LinkedIn

Should recruiters use AI? Yes (with caveats).

Should recruiters use AI? Yes (with caveats).

But all the AI and tooling in the world doesn't change the fundamentals. AI doesn't make a bad process good. It makes it fast. And a bad process at scale is the worst version of hiring there is. Point it at a structured, consistent one, and it helps run that process for every candidate. Not speed. Not cleverness. Consistency.


A few things I believe after building this into a real talent function:


β–ͺ️ The recruiter stays at the centre. AI can make you faster and better informed. The human still makes the call and owns the outcome.


β–ͺ️ The constraint isn't which model is smartest. It's whether it can see the whole hiring story. Scatter it across email, Slack, and half-filled ATS notes, and your AI only ever reasons about the easy half.


β–ͺ️ Hiring is two kinds of work. Predictable work you automate. Judgment work AI assists with, but never decides.


β–ͺ️ The resume is an even weaker signal now. Both sides have the same tools. That's not a crisis, it's a forcing function for skills-based hiring. It strips away the lazy proxies and rewards the teams who already knew what "good" looks like and built a process to test for it.


I just hosted the first episode of the Pinpoint How-To Series on exactly this.


I walk through the five areas where this changed how I work: intake and role design, candidate management, recruiting content, reporting and insights, and interview prep.


It's 20 minutes, practical, and I share the three red lines I won't cross. Link in the comments.

MB
Mike BradshawVP of Talent
Jun 25, 2026