
AI Resume Screening for Workable
Workable candidates are scored against each job's criteria, so reviewers know who deserves to move to the next stage.
Workable brings candidates in from many job boards, and the pipeline fills faster than anyone can read it. This edition connects with a Workable API token, reads jobs and the candidates applying to them, and scores each one against the job's criteria. Scores and extracted details are recorded on the candidate in Workable, and your reviewer decides who moves to the next stage.
- Scores and extracted details recorded on each Workable candidate
- Two-way sync of jobs, candidates and stages
- Every stage change made by your named reviewer

What it is
AI Resume Screening for Workable connects with a Workable API token, reads jobs and the candidates applying to them, extracts the details you define and scores each candidate against the job's criteria. Results are recorded in Workable, and stage changes are made by your reviewer.
Why businesses buy it
Posting a job on Workable is easy. Reviewing everyone it brings in is not. Candidates sit in the first stage for days, hiring managers lose patience, and the best applicants accept other offers. This edition reads every candidate against the job's criteria and records a clear score and evidence on their profile, so reviewers can move the right people forward quickly. The Scope Card and documented field mapping fix what is read and updated before you buy, and stage changes always stay with a person.
Problems this solves
Candidates queue in Workable's first stage with no review
A Workable API token connects your jobs and candidates. Each new candidate is scored against the job's criteria as they apply, so the first stage does not become a backlog.
It is unclear why one Workable candidate outranks another
The details you define are extracted and recorded in Workable alongside the score. Reviewers see the basis for each ranking right on the candidate's record in Workable.
Stages get moved without a person checking the candidate
Results are recorded in Workable, but stage changes stay with your reviewer. People decide who moves forward, while the screening work arrives already done for them.
A good fit if
Not the right fit if
How it works
- We agree the mapping with your Workable admin in a 30-minute call: which job, candidate and stage fields are read and written.
- Candidates in the stages you choose are picked up and their resumes extracted, up to 25 fields per document type.
- Each candidate is scored against the job's criteria, with validation rules flagging missing must-haves.
- The score and extracted details are recorded on the candidate in Workable.
- Uncertain candidates are left for the reviewer you name, who also makes every stage change.
- Before launch, 100 sample documents are processed on test records, and you get an accuracy report.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- A Workable API token.
- A Workable admin for a 30-minute setup call.
- At least 20 sample resumes per document type, redacted if needed.
- Role descriptions and criteria for each job to be screened.
- HR policies, your handbook, and the fields and validation rules.
- The reviewer for uncertain candidates and stage decisions.
- One decision-maker for approvals.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
Timeline
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
What you receive at handover
- AI Resume Screening for Workable, reading jobs and candidates and recording scores
- Workable connection with documented field mapping
- Access through a Workable API token or user invite you control, never shared by email
- Extraction with validation rules and a human review queue
- Test report on sandbox or test records, with an accuracy report from 100 sample documents
- Admin guide, recorded handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can keep Workable's early stages from building up a backlog
- Helps reviewers see the reasons behind each score
- Makes sure people, not software, move candidates between stages
- Candidates waiting in the first stage
- Count candidates in Workable's first stage at the end of each week, before launch and after.
- Time to move a candidate to interview
- Compare average days from application to interview stage using Workable reports, before and after launch.
- Reviewer agreement with scores
- Note how often reviewers advance top-ranked candidates in a monthly sample of jobs.
Before you start: Record how many candidates sit in Workable's first stage today and average days to interview for recent jobs.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is charged once. Running it costs roughly $30 to $200 a month depending on page volume, for OCR, AI usage and storage in your own accounts. Your Workable plan is unchanged, and Workable licenses or plan upgrades are not included.
Usage during the build and testing is billed to your accounts too.
Ask about running costsCustom requirements
Custom Workable objects beyond the agreed mapping, a fourth document type or extra connected systems are quoted separately. Add a note at checkout for a written Change Quote.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and a monthly allowance of change hours, such as criteria for new jobs or a renamed stage.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An AI screening add-on bills monthly per job or seat | An outsourced screener bills per role | Ours is one fixed price, shown on this page before you buy |
| Stages | May move candidates automatically | Decides who reaches your stage | Ours leaves every stage change to your reviewer |
| Criteria | A generic match score | Depends on the screener | Ours uses each job's own criteria |
| Delivery | Turns on fast, then needs tuning | Set per role | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What does AI Resume Screening for Workable read and update in Workable?
Jobs, candidates and stages, through a two-way connection set out in a documented field mapping. Scores and extracted details are recorded on the candidate. Custom Workable objects outside the mapping are excluded unless you add them through a Change Quote before work starts.
Does AI Resume Screening for Workable move candidates between stages?
No, your reviewer does. Stages are part of the sync so the screen knows which candidates to read, but automated hiring decisions are excluded. Your named reviewer makes every stage change after looking at the score and extracted details in Workable.
What access does AI Resume Screening for Workable need?
A Workable API token and an admin for a 30-minute setup call. The token is used only for the agreed mapping. Your Workable subscription stays the same, and any license or plan upgrade Workable charges for is outside the build.
How much is AI Resume Screening for Workable?
The panel on this page lists the price for each delivery speed, and every speed delivers the same Scope Card: the Workable connection with a documented field mapping, extraction of up to 25 fields per document type, a reviewer queue and an accuracy report. Running costs of roughly $30 to $200 a month, depending on page volume, are billed to your own accounts.
Which Workable jobs can AI Resume Screening for Workable cover?
Any job included in the mapping, provided you supply its role description and criteria. Up to three document types and 25 fields per type are covered. Criteria for a newly opened job can be added within the monthly change hours of optional maintenance.
How is AI Resume Screening for Workable checked before launch?
With 100 of your sample documents processed against sandbox or test records, followed by an accuracy report. You then get two rounds of changes to criteria or fields, so screening is settled and agreed before any live Workable candidates are scored.
Who handles hiring-law duties for AI Resume Screening for Workable?
Your company does, as the employer. A person on your team makes every advance or reject decision. The AI score is stored next to it in your connected system. Duties under laws such as New York City Local Law 144 or the EU AI Act stay with you. These include bias audits, candidate notices and risk assessments. This page is not legal advice.
Clear the first Workable stage without reading every resume.
Order AI Resume Screening for Workable and candidates are scored against each job's criteria inside Workable, with your reviewer deciding stages, live on a fixed delivery date.
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