Which processes to automate first: a simple scoring method
Score each process on hours, clarity, data readiness and risk, check payback, then automate the top one or two. Worked example and pass/fail test.
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.

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.
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.
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.
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.
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.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $6,900 |
| Express | 15–25 working days | $8,100 |
| Rush | 10–20 working days | $9,300 |
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.
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 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 versionMonthly maintenance covers monitoring, fixes and a monthly allowance of change hours, such as criteria for new jobs or a renamed stage.
$345/mo (5% of the build price a month, includes 3 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| 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 |
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.
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.
A Workable API token and an admin who approves the written mapping. 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.
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.
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.
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.
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.
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.


Finds and summarizes candidates who match the role profile.

Writes inclusive, structured job descriptions from role notes.