Screen resumes and rank candidates against your job openings

AI reads incoming resumes, scores each candidate against the role, and routes strong matches to you.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig>"resume and job description submitted"]:::trig s0["extract skills and background"]:::task s1["combine into ranked match score"]:::task s2["notify recruiter of result"]:::task trig --> s0 s1 --> s2 gx{"+ how well candidate fits"}:::gate s0 --> gx p00["score technical skills"]:::task gx -->|"technical fit"| p00 p10["score experience level"]:::task gx -->|"experience fit"| p10 p20["score cultural fit"]:::task gx -->|"culture fit"| p20 jn{"+ combined into match score"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"ranked candidates with confidence scores"/]:::out pay{{"less time screening resumes"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationSpreadsheet & Database OpsAPI & Webhook IntegrationHR & Recruiting
Connects
OpenAIGoogle SheetsGmail

The problem it solves

Screening a stack of resumes against a job description takes hours you don't have, and it's easy to miss a strong candidate buried in the pile. Judging skills, experience, and fit consistently across every applicant is hard to do by hand. Borderline candidates often get lost because no one has time for a second look.

Who it fits

A recruiter, HR team, or hiring manager handling a high volume of applications.

How it works

  1. A resume and job description are submitted
  2. AI extracts the candidate's skills, experience, and background
  3. Separate checks score technical skills, experience level, and cultural fit
  4. The scores are combined into a ranked match with a confidence level
  5. Strong matches are emailed to you as a ranked report, while uncertain cases are flagged for your review
What you get

Ranked candidates ready for your review

You get every resume scored against your job opening and the strongest matches sent to you as a ranked report.

What you get

A ranked candidate report by email and a Google Sheets record of every screened applicant.

What you need

An OpenAI API key, a Google Sheets account, and an email account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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