HR and people
Timesheet and payroll checks
Timesheets are checked against rosters, leave and pay rules before each pay run, and odd entries go to the manager with a plain reason.
Automation
HR and people · Custom app
Resume screening with written reasons
AI resume screening with clear reasons for hiring teams
Every application is scored against the job's must-have criteria, with a written reason for each score, so hiring managers can check the reasoning.
01 today
The problem
A single job ad can bring in far more applications than a hiring manager can read properly. People skim, strong candidates get missed, and nobody can explain afterwards why one person got an interview and another did not.
02 the run
What the AI does
- Step 1: Turns the job description into a short list of must-have and nice-to-have criteria that the hiring manager confirms before screening starts.
- Step 2: Reads each resume and application answer from Greenhouse, Workable or your inbox.
- Step 3: Scores each candidate against every criterion and writes a sentence of evidence for each score, quoting the resume.
- Step 4: Leaves out names, photos, ages and other details that should not affect the decision when showing the summary.
- Step 5: Sorts candidates into a shortlist, a maybe pile and a decline pile, with the reasons visible for each.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
A hiring manager reviews the shortlist and the written reasons and decides who moves forward. No candidate is rejected or contacted without a person approving it.
04 after
What changes
Every applicant is read against the same criteria, and the team can explain each decision. Hiring managers spend their time on the shortlist instead of the whole pile.
Results from a real build
[CASE STUDY] We only publish results we can name and check with the client.
see also
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Voice/chat agent
Tell us how your business runs. We'll tell you where AI fits.
A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.
Working with teams in the United States, United Kingdom and Australia.