All platform features
Core feature
Who deserves your attention next.
The AI Hiring Summary is a per-job recap that groups every applicant into clear categories and points you to the ones worth your time — with evidence, not scores.
Senior Backend Engineer · this week
Applicants in the last 7 days
23 new
Strong Match
4
Worth a second look
7
Worth a closer look
12
Recap: Four strong matches this week — two former startup engineers with distributed-systems experience worth a first call.
The problem
You don't need another inbox. You need a decision to make.
Small teams don't have time to read 300 résumés. Most tools respond by dumping applicants into a spreadsheet and calling it a workflow.
That leaves the hardest question — *who deserves attention next?* — squarely on the hiring manager, without any help.
You end up rereading the same résumés at 10pm, hoping something jumps out. That's not a hiring process. That's fatigue.
How it works
How the AI Hiring Summary works
Every time a candidate applies, AROS reads the résumé, compares it against the job you posted, and adds them to a category. When you open the job, you see a calm one-screen recap:
- 1Applications land in your workspace
- 2AROS categorises each one against the role you defined
- 3You see a per-job summary — Strong Match, Worth a second look, Worth a closer look
- 4Every category is expandable to the underlying evidence
- 5You decide who to invite. AROS drafts the outreach.
What you actually get
Small surface, big signal.
Strong Match
Candidates whose évidence aligns with the role's core requirements. Human review required — always.
Worth a second look
Candidates with partial alignment, unusual strengths, or transferable experience worth exploring.
Worth a closer look
Candidates the AI is less sure about. Never rejected — flagged for human judgement.
One-line recap
A plain-English summary of the applicant pool: how many, how strong, what stands out this week.
Why we built this
“We kept hearing the same thing from small-team hiring managers: "I don't need another dashboard. I need a decision to make." So we built the Summary around that exact question — not "where is this candidate in the workflow?" but "who deserves attention next, and why?"”
— AROS Founder
Answers