Recruitment has always involved a lot of processing. Applications need to be read, experience compared, candidates contacted, interviews arranged and notes kept.

AI can help with a lot of that. The temptation is to go one step further and let the system make the decision too. We don't think that's a line worth crossing.

A candidate is more than a list of keywords. Someone may have worked in a smaller organisation but carried far more responsibility. Another candidate may look perfect on paper and be wrong for the environment.

Where the line sits
  • AI: reads, sorts and schedules
  • JobScore: shows the evidence
  • The panel: assesses candidates
  • The employer: makes the appointment

That doesn't make structured assessment useless. It makes the difference between evidence and judgement matter.

JobScore is built to make the evidence easier to see and to explain what's behind a result. It gives the hiring manager or panel one more thing to consider.

A candidate is more than a list of keywords.

It doesn't get a vote.

The selection panel still assesses candidates. People decide who progresses. The employer decides who gets the job.

A score should start a question, not end the conversation. AI can cut the admin and make evidence easier to compare. The point is to give people more time for the decisions a system shouldn't make.