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Sharper thinking on hiring for volume

We work with hiring teams at large organisations that recruit at high volume. Over time, you see patterns – what works, what doesn’t, what industry trends are occurring. This is where we share what we’re learning.

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  • Commentary and analysis
Man sitting completing an assessment on his laptop

You’ve seen the demo. Here’s what to tell your legal team.

Human screening isn't the fair baseline AI gets compared against. Here's the honest answer on bias, audit trails and what your legal team will actually ask.
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  • Commentary and analysis
screening

Screen or filter? Candidates can tell the difference

Candidates want to be considered, not filtered. See why high-volume screening is quietly damaging your employer brand, and what a fairer approach looks like.
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  • Commentary and analysis
Quick - ref

A quick reference guide to AI-powered screening

Talking to AI recruitment suppliers? Here's the jargon you need to understand first, from contextual conversation to UK GDPR Article 22 and automated decision making.
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  • Commentary and analysis
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Is your candidate screening process as consistent as you think it is?

Two screeners reviewing the same candidates agree only 44-74% of the time. Here's what the research says about consistency, bias and what fixes it.
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  • Commentary and analysis
Banning AI

Why banning AI in recruitment probably won’t work (and what to do instead)

A growing number of hiring teams are asking the same question: should we just ban AI from applications? Drawing on our own candidate research, we look at why a ban is harder to enforce than it sounds, and what to build instead
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  • Commentary and analysis
graduates

The screening bottleneck: why it’s graduate recruiters’ single biggest challenge right now

53% of candidates now use AI on job applications. That makes CVs look better and harder to tell apart. Here's what that means for graduate screening.
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  • Commentary and analysis
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The power of conversation and the power of context

New peer-reviewed research confirms it: chat-based AI interviews beat traditional psychometric tests on fairness and candidate experience. Here's what the study found.
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  • Commentary and analysis
How contextual conversation improves hiring decisions - Bright Apply

How contextual conversation improves hiring decisions

CVs and forms tell you what a candidate did. They can't ask the follow-up question that tells you whether it's true. Here's why conversation, not paperwork, is where real signal lives.
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  • Commentary and analysis
new research

New research confirms the value of AI in hiring

New peer-reviewed research backs up what we've long argued: chat-based AI interviews beat traditional psychometric tests on fairness, candidate experience, and uncovering real potential. Here's what the study found.
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  • Commentary and analysis
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Dispelling the biggest misconceptions about AI powered screening

AI in hiring comes with a lot of noise and misconceptions. We break down three common myths about AI screening, bias and candidate experience, and share what the evidence actually shows.
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  • Commentary and analysis
trust

Why trust is the new hiring currency

Trust is breaking down in hiring. Discover why candidates, recruiters and business leaders are losing faith in hiring tech, and how a fairer approach can fix it.
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ROI CALCULATOR

What is your screening process costing you?

Calculate your potential ROI and see how much time could your team get back if every applicant was screened by Bright Apply.

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If what you've read here reflects what your team is dealing with, a 30-minute demo will show you whether Bright Apply is the right fit

*Based on pilot data, 2025–2026

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Bright Apply is a conversational AI screening tool for talent acquisition teams running volume hiring. Built on over 15 years of hiring insight by Bright Network.

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Based on pilot data, 2025–2026
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