Score and rank college applicants with AI-powered review

AI reads every application and essay, scores candidates holistically, and routes top applicants for fast review.

How the work actually flows

It branches. Exactly one path is taken.

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

flowchart TD trig>"application submitted via form"]:::trig s0["analyze essay for quality"]:::task s1["score applicant holistically"]:::task s2[("log score and recommendation")]:::store trig --> s0 s0 --> s1 gx{"× strong candidate or not"}:::gate s1 --> gx p00["alert reviewers for fast track"]:::task gx -->|"strong candidate"| p00 p10["route to committee review"]:::task gx -->|"other candidate"| p10 jn{"○ log outcome"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"applicant scored and routed"/]:::out pay{{"faster consistent admissions decisions"}}:::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
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsHR & Recruiting
Connects
JotformGoogle SheetsGmailSlackOpenAI
Featured in

The problem it solves

Reading every essay and application by hand to catch strong candidates and red flags takes an enormous amount of staff time during admissions season. It's easy for a strong applicant to get lost in the pile, or for a generic or inconsistent essay to slip through unnoticed. Reviewers under time pressure can end up making inconsistent judgment calls between similar candidates.

Who it fits

Admissions offices and schools reviewing a high volume of applications each cycle.

How it works

  1. A completed application is submitted through Jotform
  2. AI analyzes essays for writing quality, authenticity, and red flags
  3. AI scores the applicant across academics, activities, character, and fit
  4. Strong candidates are flagged for a Slack alert and fast-track review, others are routed to committee or standard review
  5. Every score and recommendation is logged for the admissions team
What you get

Applications pre-scored before committee review

Get every application scored and ranked automatically, with strong candidates flagged for fast-track review.

What you get

A scored, ranked application record with essay analysis and a clear routing recommendation for reviewers.

What you need

A Jotform account, a Google Sheets account, a Gmail account, a Slack workspace, and an OpenAI API key.

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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