Late resumes read faster
Fatigue changed the standard.
Greenhouse AI resume screening for teams that receive more resumes than they can read
Greenhouse AI resume screening automation that reads each resume against your must-haves, summarizes the match and flags the gaps for a recruiter to judge
Harvest v3 keeps demographic answers and EEOC data as resources separate from the application, and application documents arrive as attachments with links that expire. BoldBellows records the application, the attachment version and the screening criteria before a resume is read, keeps demographic answers and EEOC data out of the model's reach, then fetches the resume when an application arrives, extracts its text, asks a model to compare it with the must-have and nice-to-have criteria you wrote, returns a short summary with each criterion marked met, partly met or not shown and a quoted line for each, writes that to the application as a note and flags missing evidence for a human to check. The route never moves or rejects an application.
View Pricing
From $1,215, paid once. Screen Greenhouse resumes with AI.
The guarantees behind the Greenhouse AI workflow
- Same criteria for all written once
- Summary, not verdict a person decides
- Demographics excluded never read
- Quoted evidence per criterion
- Launch review The first weeks are watched against the checkpoint log
- Clear from the start packages open at $1,215, and the delivery range appears next to it
01 · the skimmed-resume problem
Resumes are read in a hurry and the tired ones are read differently
A recruiter with sixty new applications on Friday afternoon reads the last ones faster than the first. Format changes what gets noticed: a two-page resume with clear headings is read, a four-page academic CV is skimmed. A screening tool that returns pass or fail hides its reasoning, may use signals that correlate with protected characteristics and gives no way to appeal. Resumes also arrive as attachments whose links expire, so anything not fetched promptly can be lost.
Format decided attention
Layout beat content.
A pass or fail with no reason
The tool kept no evidence.
- Events are copied across unjudged
- Resumes are skimmed in a hurry
- A tool says pass or fail and says nothing else
- Create, update or skip is decided by a key made of the application, the resume file version, the criteria and the model run
- Each resume is read against the same written criteria
- Summaries carry quoted evidence and a recruiter decides
02 · how it works
How an incoming resume becomes a summary with evidence and gaps
The path is short: admit, match, write, record.
- 01
Confirm the trigger
The route confirms that the Greenhouse event is authentic and that the Greenhouse event is one you asked it to act on.
- 02
Fetch, extract, compare
The attachment is fetched, its text is extracted, and a model compares it with the criteria you wrote.
- 03
Summarize, flag, review
A summary is written as a note, missing evidence is flagged, and a recruiter decides what happens next.
Behaviour we rely on in Greenhouse and in the model
Demographics stay out of the model
Harvest v3 keeps demographic answers and EEOC data as separate resources from the application itself, so the build gives a model only the fields a recruiter would use to judge fit and leaves those two resources unread.
Demographics stay out of the model
Harvest v3 keeps demographic answers and EEOC data as separate resources from the application, so the build gives a model only the fields a recruiter would judge fit by and leaves those two resources unread.
Proof of delivery
Each successful write stores the AI workflow identifier beside a key made of the application, the resume file version, the criteria and the model run, which later checks rely on.
03 · what ships in the build
How the screening route works: the parts that read each resume
Pick the depth you need.
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Rule-based admitter
Matches the incoming event to the admission rule and logs the match for later audit.
EntryStable identity ledger
Writes the inputs, evidence and approval for each Greenhouse proposal to a ledger your team can search.
EntryValue normaliser
Standardises formats, dates and casing from Greenhouse so the AI workflow receives clean values.
EntryResume reader and summarizer
Extracts the text and compares it with the criteria.
EngineApplication-and-file matcher
Compares the event with what a key made of the application, the resume file version, the criteria and the model run points to and picks the matching action.
EngineCriteria and exclusion matrix
Decides which criteria apply to which job and which fields the model never sees.
EngineScreening register
Produces a dated list of differences so they can be cleared in order, on the Greenhouse AI Resume Screening service.
Audit DeskDrift monitor
Flags when the model's reading and the recruiters' decisions start to diverge.
Audit DeskIncident trail
Keeps the sequence of events around any problem so the cause can be found fast.
Audit Desk04 · who it's for
Helping construction and trades companies read every incoming resume against the must-have criteria for the job, summarize the match for a recruiter and flag gaps, without rejecting anyone
Recruiters want time back. Candidates want a fair read, and the company wants to be able to explain how screening was done.
Recruiter
"Sixty new applications and one afternoon."
Summaries are ready when they arrive.
Hiring manager
"Is the strong candidate buried?"
Every resume is compared with the same criteria.
Head of talent
"No automated rejections, please."
The route only writes notes.
Compliance lead
"Protected data must stay away."
Demographic and EEOC resources are never read.
Coordinator
"Chase the missing attachments."
A resume that is missing or unreadable is flagged.
Managing director
"I want speed we can defend."
Each summary shows its evidence and its reviewer.
Resumes, summaries and flags move the estimate
Price your screening route, criteria by criteria
Packages start at $1,215.
View Pricing
- One setup fee
- Range shown first
- PDF handover included
05 · compare your options
Skimming at 6 p.m., or a criteria-led screening route: how resumes get read
Each can read a resume. Only one applies written criteria, quotes evidence and stays out of protected data.
| How a run starts | A recruiter's skim | A generic resume parser | Our criteria-led screening route |
|---|---|---|---|
| What starts the work | A manual check | Each raw notification | A Greenhouse event that passes eligibility |
| How identity is decided | Name typed, hope it matches | Name match, first result wins | One key: application, resume file version, criteria and model run |
| What reaches the AI workflow | Key fields, sometimes | Loosely formatted text | A summary with quoted evidence, left for a recruiter to judge |
| After an uncertain result | A weekly tidy-up | Stops and loses context | Reconciles first, writes only the difference |
Yesterday's change, today's record
A Greenhouse event older than the state in the AI workflow is logged and closed, so delivery timing never decides which version wins.
A candidate uploads a scanned image of a resume
Text extraction fails, the route does not guess, the application is flagged as unreadable with the reason, and a recruiter reads it by hand. The proposal is located through a key made of the application, the resume file version, the criteria and the model run, compared with the intended values and classified.
Decide a key made of the application, the resume file version, the criteria and the model run early: it is how the route recognises its own work.
Pricing
Build your Greenhouse AI Resume Screening price
Pick a package, answer three short questions about how Greenhouse data should reach AI Resume Screening, and your price and turnaround move as you choose.
06 · process & getting started
Six steps from a resume pile to reasoned summaries
The plan has six steps and a fixed shape, so timelines stay honest.
- Step 01
Write the criteria
We turn each job into must-haves and nice-to-haves with a plain description of the evidence that counts.
- Step 02
Approve access
Limited rights to Greenhouse, a model connection you control and a written approval path are in place before the build starts.
- Step 03
Set the boundaries
Which fields the model may read, what a flag means and who reviews are decided and recorded first.
- Step 04
Replay the troublemakers
Known problem cases are replayed through a test the AI workflow until each one ends safely, for this Greenhouse AI Resume Screening service.
- Step 05
Launch with notes
We launch at a checkpoint, watch the first runs with you, and deliver the written handover.
- Step 06
Confirm it holds
A short review confirms that counts, matches and exceptions behave as they did in testing.
07 · turnaround
Delivery times for each AI Resume Screening package
Timing starts as soon as Greenhouse access and the model connection are in place.
Entry
6 to 10 business days
Engine
10 to 16 business days
Audit Desk
16 to 24 business days
08 · before we start
What you bring to the start
A Greenhouse login or token that can read what the route needs
Harvest v3 access set up by a Greenhouse Site Admin, the criteria for each job in writing and a named reviewer for flagged resumes
A named Greenhouse contact who can approve access requests
The fields from Greenhouse that the AI workflow must receive
Details of any other tools that already write to the AI workflow
Permission to document the route in your handover pack
09 · security and ownership
Approved data only, through supported doors only
Scoped access to Greenhouse, a minimal prompt and an approval gate mean the model advises and your rules decide.
Leaves both tools alone
The build uses supported access on each side and does not alter how Greenhouse or the AI workflow behave for anyone else on your team.
Scoped, revocable access
The integration user or token carries only the rights the route requires.
Scoped to the route
For Greenhouse AI Resume Screening, the proposal receives the agreed fields for this route alone, which keeps reports and permissions in the AI workflow simple.
Checked before it is repeated
Each retry is preceded by a read of the AI workflow through a key made of the application, the resume file version, the criteria and the model run, which keeps a timeout from becoming a duplicate.
Minimal logging
Log lines name the record and the result; they do not reproduce the record.
Full handover
You are not tied to us: the configuration sits in your accounts.
10 · verified reviews
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and sales to support and operations.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
11 · questions
AI resume screening in Greenhouse: what recruiting teams ask
Before you commit, here is what buyers most often want confirmed.
Is a Greenhouse AI step in Zapier or Make enough?
Buying every resume read the same way on the day it arrives from a connector is fine. Expecting it to read a resume against must-haves, keep demographic data away from the model or hand a recruiter a summary instead of a verdict is where they fall short. That is the difference between moving data and running a route.
Does it reject candidates?
No. It writes a summary and flags gaps. Recruiters move applications.
Does the model see demographic answers?
No. Demographic answers and EEOC data are separate resources and are never read.
What about scanned or odd resumes?
If text cannot be extracted the application is flagged as unreadable and a person reads it.
How is a summary checked?
Each criterion is marked met, partly met or not shown with a quoted line, so a recruiter can verify it in seconds.
Can we tune the criteria?
Yes. Criteria are versioned, and each summary records the version it used.
Which model is used?
Whichever you approve; each summary stores the model and the criteria version.
Is the Greenhouse field list reviewed with us?
It is included. We list the Greenhouse fields in scope and decide which are shown, which are masked and which are never sent.
Can we limit which Greenhouse changes qualify?
Yes. The approval path, the proposal types and the escalation rules are written for your team, from $1,215.
Who owns the route after handover?
We document each dependency. When a platform alters something, only the records touching it pause, and you are told which. Fixes beyond the review period are priced on their own. Related searches this service covers include custom greenhouse ai resume screening automation.
Read every resume the same way, today
Give your recruiters summaries they can verify at a glance
Pick one Greenhouse signal to start with. We build the route, prove it and document it, with Entry from $1,215.
Need something the packages do not cover? Tell us and we will quote it.