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Screen 900+ job applications without a recruiter: a CFO's AI setup

A 30-person firm's CFO got 930+ applications in 36 hours. Workable's AI ranked them. One screening question cut about 20% before a person read a resume. The vendor says the bottom 80% needed no manual resume review.

Who this is about: 30-person company whose CFO also runs hiring

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What it takes

Cost
From $299/monthStandard is $299/month for 1-20 employees ($3,588/year). Premier is $599/month. Paid accounts start with 3,000 AI credits. A free trial is offered. Pricing page read Oct 24, 2026.Price checked Oct 24, 2026 on workable.com. Prices change; check before you buy.
Setup time
An afternoonOur estimate from the source, for one business.
Skill needed
No codeApps and settings only.

Explain it simply

Workable is a place to post a job and collect every application. Its AI scores each application against the requirements you wrote, so you start at the top of the list. A question on the form can drop people who miss a must-have before anyone opens a resume. You still decide who moves forward, and you should tell applicants that AI will read their materials.

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How can a small business screen hundreds of job applicants with AI?

Put one knock-out question on the job post, then let an applicant tracker's AI grade each application against the job's requirements so you read only the top tier. CacheFly's CFO, who also runs HR, got 930+ applications in 36 hours; one question "eliminates about 20% of applications automatically" (Workable case study, 2026).

What the source reports for this use case: tool, input data and stated result
Workflow / use casePrimary AI role / tool slotInput dataExpected business output / time saved
Screening a flood of job applicationsWorkable AI Recruiting Agent (grading, ranking) + one screening questionJob requirements, applications, one must-have questionA ranked shortlist; bottom 80% need no manual resume read (vendor case)

How does this differ from other ways to do this job?

Workable suits a company that hires several salaried roles a year and wants one system for postings, scoring and interviews. Homebase's Hiring Assistant is built for hourly shift workers and links to scheduling and payroll. ChatGPT connected to a jobs inbox costs least but has no applicant tracking, audit trail or job-board posting.

What was done

CacheFly, a company of about 30 people, had its CFO handle hiring. One role drew 930+ applications in 36 hours.

They put one must-have question on the application. Workable says that question eliminates about 20% of applications automatically. That cut is the question, not the AI score.

Workable's AI Recruiting Agent then graded and ranked the rest against the job requirements. Workable's own summary says the bottom 80% needed no manual resume review.

A person still chooses who advances. Tell applicants that AI will read their materials, and check local hiring rules before you turn scoring on. In New York City, Local Law 144 covers some automated employment decision tools.

How it went

The source is Workable's own case study, dated Aug 19, 2026. It describes the flood of applications and the screening setup. It does not give an outside count of hours saved.

  • Workable writes that the screening question "eliminates about 20% of applications automatically."
  • Keep a person on every rejection. Do not let a score email a "no" on its own.

Prompt

Context / Role

You are the owner or the one person who handles hiring at a company under 50 people, with an open role that drew more applications than you can read.

The copy-paste prompt
PromptWritten by our editors from the source
You are my hiring screener for the role [JOB_TITLE] at [COMPANY_NAME].

Must-haves (an applicant missing any of these is "Not a fit"): [MUST_HAVES]
Nice-to-haves: [NICE_TO_HAVES]
Knock-out question on the form and the answer we need: [KNOCKOUT_QUESTION]

For each application below, return one table row:
| Name | Knock-out answer | Must-haves met (list) | Missing | Nice-to-haves | Score 1-10 | One-line reason quoting the application |

Rules:
- Judge only on job-related evidence written in the application. Ignore name, age, gender, photo, nationality, school prestige and gaps in employment.
- Quote the exact line that earned each must-have. If you cannot find it, mark it Missing; do not guess.
- Sort by score. Put "Not a fit" rows at the bottom with the reason.
- Do not write rejection emails. I decide who advances and I review every "Not a fit" before anyone hears back.
- End with: the 3 strongest applicants, one question to ask each in a phone screen, and any application you were unsure about.

Applications:
[APPLICATIONS]
Variables to customize
  • [JOB_TITLE]
  • [COMPANY_NAME]
  • [MUST_HAVES]
  • [NICE_TO_HAVES]
  • [KNOCKOUT_QUESTION]
  • [APPLICATIONS]
Expected output / next step

A ranked table with quoted evidence and phone-screen questions. Next step: the owner advances people in the applicant tracker or a sheet. Do not send a rejection until a person has reviewed it.

Written by our editors for any AI chat. It is not a built-in Workable prompt. A person decides who advances.

Setup notes

  1. Write the must-haves and one knock-out question before you post the job.
  2. Collect applications in Workable so they are not scattered across inboxes.
  3. Let the AI rank people against those written requirements.
  4. Read the top of the list yourself. Review every "not a fit" before anyone hears back.
  5. Tell applicants that AI will read their materials, and check rules such as NYC Local Law 144 if you hire in New York City.

Business fit

Who this helps, and how:

  • Dental office hiring a receptionist: put one must-have, such as a license or a shift, on the form, then rank the rest.

    Local & service
  • Agency hiring a remote designer: score applications against a written brief and interview only the top of the list.

    Agencies
  • Trades firm hiring an office manager: screen for the software and hours you actually need before a manager reads resumes.

    Local & service

Related

Similar tools

Other tools for this job, and how they differ. Chosen by our editors, never paid for.

“Vendor or secondhand” (grade C) means: A tool maker's case study, a promotional demo, or someone else's write-up. How we grade. Spotted a mistake? Suggest a correction.