Screen and score job applicants automatically with AI

Scores every job applicant against your requirements and routes top candidates to interview automatically.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"job application submitted"]:::trig s0["score resume against requirements"]:::task s1[("log candidate to spreadsheet")]:::store s2["alert team on top picks"]:::task trig --> s0 s1 --> s2 gx{"× how did they score"}:::gate s0 --> gx p00["route to interview"]:::task gx -->|"top score"| p00 p10["route to review"]:::task gx -->|"mid score"| p10 p20["route to rejection"]:::task gx -->|"low score"| p20 jn{"○ log candidate"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"scored candidate pipeline"/]:::out pay{{"faster consistent hiring"}}:::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 stepA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
CRM & Sales PipelineEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationHR & RecruitingEducation & Training
Connects
OpenAIGoogle SheetsSlackGmail

The problem it solves

You get a flood of applications for every open role and reading each resume against your requirements takes hours you don't have. Good candidates can get buried while you're working through the pile, and it's hard to compare people consistently.

Who it fits

Hiring managers and small HR teams handling their own recruiting.

How it works

  1. A job application is submitted through your application form
  2. AI reviews the resume against your job requirements and scores it across skills, experience, education, presentation, and culture fit
  3. Each candidate is routed to interview, review, or rejected based on their score
  4. Every candidate is logged to a spreadsheet
  5. Your team gets a Slack alert for top picks
What you get

Applicants scored and ranked automatically

You get every applicant scored against your requirements, with top candidates flagged straight to your team for interviews.

What you get

A scored, sorted candidate pipeline in a spreadsheet with alerts on your best applicants.

What you need

An OpenAI API key, a Google Sheets account, and optionally Slack and Gmail.

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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