Explore the pilot
of recruiters say AI hiring can cause them to miss strong candidates
Human-in-the-loop applicant screening
See the evidence.
Not just the application.
InterventionAI turns overwhelming applicant volume into a human-reviewed, evidence-backed shortlist—so employers can understand every recommendation and make better-informed decisions.
AI recommends. People decide.
Example intake1,057applications
Meaningful oversightHuman reviewed
Employer receivesEvidence-backedshortlist + review notes
Human
verified
verified
The case for intervention
Faster screening is not enough.
Recruiters need help with application volume, but the evidence shows what happens when automation becomes an invisible decision-maker.
say strong applications are filtered out before reaching interview
of candidates believe AI rejected them without human review
CV-Library research, April 2026Read the research
InterventionAI takes a different approach: AI recommends. People decide.
The problem
Automation made applying faster.
It did not make hiring clearer.
Good candidates disappear
Strong evidence can be buried beneath hundreds of highly polished, duplicated or loosely relevant applications.
Recruiters inherit a black box
A score without reasons may be quick, but it gives employers little confidence and candidates little fairness.
Volume consumes judgement
When teams are overwhelmed, careful evidence review is often the first thing the process loses.
How it works
Five clear steps.
One accountable shortlist.
InterventionAI combines careful automation with meaningful human review. The technology creates capacity; the reviewer provides context, challenge and accountability.
Agree what good looks like
We turn the vacancy into a clear evidence framework with essential requirements, useful experience and fair review rules.
Bring applications into view
Applications are securely organised, normalised and checked for duplication, missing information and relevant evidence.
Use technology for the volume
Technology helps structure the workload and surface patterns, contradictions and borderline cases for closer attention.
Keep a human in the loop
A trained reviewer examines the evidence, challenges the automated findings and conducts short verification conversations where needed.
Receive a shortlist you can defend
You receive a concise shortlist with reasons, evidence notes, exceptions and human reviewer sign-off. You make the hiring decision.
The human loop
Let technology organise.
Let people judge.
We do not replace recruitment teams with another opaque decision engine. InterventionAI gives them the time and evidence to exercise better judgement.
Technology supports
- Structuring high-volume applications
- Identifying duplication and gaps
- Surfacing relevant evidence
- Highlighting cases for closer review
A person remains responsible
- Interpreting context and transferable experience
- Challenging automated findings
- Examining borderline candidates
- Signing off what the employer receives
What employers receive
Not another score.
A decision-ready evidence pack.
Credible shortlist
A focused group of applicants who meet the agreed requirements—not simply the people who wrote the most polished CVs.
Evidence notes
Clear reasons for every recommendation, linked to the role criteria and the evidence supplied by the candidate.
Questions and exceptions
Missing details, inconsistencies and uncertainties are made visible instead of being hidden inside an unexplained score.
Human sign-off
An accountable reviewer checks the output before it reaches the employer. Technology supports judgement; it does not replace it.
Our candidate promise
People deserve to be considered as people.
InterventionAI is being designed around fairness, transparency and meaningful human oversight. Technology may support the review, but it will not become an invisible substitute for judgement.
- Clear criteria agreed before screening
- Relevant evidence considered in context
- Borderline cases receive human attention
- Employers retain the final decision
Founding pilot
Start with one live vacancy.
The first InterventionAI pilot will test the complete managed screening process against a real hiring challenge—before we turn assumptions into expensive software.
Designed to include
- 01 One agreed vacancy and evidence framework
- 02 A defined volume of applications
- 03 Human-reviewed candidate recommendations
- 04 Evidence notes and employer review meeting
Pilot enquiries opening soon