The first thirty get the best read
The rest are barely scanned.
BoldBellowsAI candidate screening and shortlisting workflow for agencies and hiring teams buried in applications
AI candidate screening and shortlisting workflow that checks every application against your requirements and shows why, while a recruiter decides
Screening and shortlisting work best as a sorting aid: a rule or model reads each application against the stated requirements and shows its reasons, while a recruiter reviews the shortlist and makes every hiring decision. BoldBellows writes down the must-haves and nice-to-haves for each role with the recruiter, and keeps every application as received, before a single candidate is scored, checks each application against those written requirements, shows the reasons beside every score, never rejects anyone by itself and leaves the shortlist for a recruiter to review, then builds the AI candidate screening and shortlisting workflow role by role: the recruiter and hiring manager agree a short list of must-haves and nice-to-haves, each incoming application is read for evidence of every item with a quote from the resume, a score is built only from those items and not from a candidate's name, age, photo or other personal traits, the reasons are written in plain words beside the score, and a ranked shortlist with the borderline cases marked is placed in front of the recruiter. Custom AI candidate screening and shortlisting workflow can add knockout questions and scorecards.
View Pricing
One-off setup from $1,295
No monthly subscription
- AI candidate screening
- Reasons beside every score
- Recruiter decides
- Written requirements first agreed before any scoring
- Evidence quoted from the resume the reason is always visible
- No personal-trait guessing scores come from the requirements only
- A recruiter decides nothing is rejected automatically
- Clear recovery An unsure write has a written next step, not a guess
- No meter running $1,295 covers design, build, tests and handover; nothing accrues afterwards
Chapter 01 the two-hundred-resumes problem
Two hundred resumes on a Friday evening are read very differently at the top of the pile than at the bottom
A role opens, applications flood in, and a recruiter skims them between meetings. The first thirty get a careful read. The last hundred get a glance. A strong candidate who applied late is never seen, and the reason a person was passed over lives only in someone's memory. The hiring manager asks why a particular candidate was not shortlisted, and nobody can say. Different recruiters read the same role differently, so the shortlist depends on who happened to be on shift.
For the first time a hiring manager asked why someone was on the list, and the answer was already on the screen.
A strong late applicant missed
The pile was already sorted.
Reasons live in memory
Nobody can explain a pass.
Before
After
Before
- The route writes first and asks questions later
- Every application is skimmed at a different speed
- A pass has no recorded reason
After
- Every application can be traced back by the candidate, the role and the reasons for each score
- Every application is read against the same written list
- Each score carries quoted evidence for a recruiter to check
Chapter 02 How it works
How applications become a shortlist you can explain
The route reads, decides, searches and only then changes AI Candidate Screening.
Start from the event
The route records who, what and when for the Recruitment Team event, then judges it against your rule.
Agree, read, quote
The must-haves are agreed first, every application is read for evidence of each one, and the matching line is quoted.
Score, explain, review
A score is built from those items alone, the reasons are written beside it, and the recruiter reviews a ranked list with borderline cases marked.
Recruitment Team facts and AI guardrails behind the design
- Screening assists, people decide: Screening and shortlisting work best as a sorting aid: a rule or model reads each application against the stated requirements and shows its reasons, while a recruiter reviews the shortlist and makes every hiring decision.
- A reason is what makes a score contestable: Because every score is shown with the quoted evidence behind it, a recruiter or a candidate's advocate can see what was counted and challenge it, which a bare number never allows.
- Failure handling: A failed or unconfirmed write is recorded with its cause and verified in AI Candidate Screening via the candidate, the role and the reasons for each score.
Chapter 03 What ships in the build
How shortlists are built: requirements, evidence and review
What you choose is how far to go: Start gets one route live, Orchestrate adds the branching, Command adds continuous checking.
Qualifying-event check
Verifies the candidate status change is real, current and in scope before any write is planned.
Stable identity ledger
Keeps the evidence behind each suggestion next to the Recruitment Team object it concerns.
Sensitive-value screen
Keeps private Recruitment Team values out of AI Candidate Screening unless the map says they may cross.
Requirement list
Records the role's must-haves and nice-to-haves, agreed with the recruiter before scoring.
Evidence reader
Finds and quotes the line in each application that supports a requirement.
Reasoned score
Builds a score only from the requirements and writes the reasons in plain words.
Borderline marker
Flags close cases and missing information for a closer look by a person.
Shortlist for review
Delivers a ranked list to the recruiter, who accepts, moves or removes each name.
Hold-and-review lane
Parks doubtful Recruitment Team events with their evidence until a person decides.
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Chapter 04 Who this fits
Right for recruiters who sort a pile of applications into a reviewed shortlist in minutes, with the reasons shown and every decision left to a recruiter
A good shortlist is one you can defend, and defending it needs the reason for every name on it and for every name left off.
Recruiter
"Read every application fairly."
The same checklist applies to all.
Agency owner
"Fill roles faster."
Shortlists arrive the same day.
Hiring manager
"Trust the shortlist."
Reasons come with each name.
Talent acquisition lead
"Keep screening consistent."
One list across recruiters.
Resourcer
"Stop skimming."
Evidence is pulled for you.
HR director
"Stay accountable."
Decisions remain with people.
Chapter 05 The options
Comparing a recruiter skimming two hundred resumes on a Friday evening, a connector and requirement-based screening with visible reasons, a ranked shortlist and a human review step for AI Candidate Screening
Each can sort a pile. Only one reads every application the same way, shows its evidence and leaves the decision with a person.
| Question | Skimmed applications | Passes without reasons | Our screening route |
|---|---|---|---|
| What starts the work | A person decides case by case | Any change that matches the filter | A candidate status change that clears the admission check |
| How identity is decided | By the title someone typed | Matching on the text as it arrives | Skimmed piles and unrecorded passes |
| What reaches AI Candidate Screening | Screenshots and notes | The fields the template lists | Same-checklist reads with quoted evidence |
| After an uncertain result | Ask around and fix it by hand | Retries until it works or fails | Checks AI Candidate Screening, records the outcome, then acts |
Delayed delivery, current state wins
If Recruitment Team delivers an event late, it is compared with the stored state and cannot move the application backwards.
A strong candidate applies with a career change and no matching job title
The application is read for evidence of each requirement, not for titles, so the transferable experience is quoted, the score reflects it and a recruiter sees the case in the borderline group. The route reads AI Candidate Screening through the candidate, the role and the reasons for each score and labels the result before it touches anything. An existing application is updated, never duplicated.
We agree the candidate, the role and the reasons for each score before anything else, since matching, replay and repair all use it.
Interlude You pay for applications, requirements and shortlists
Pricing the screening build: roles and systems
Start opens at $1,295.
View Pricing
One setup fee · Range shown first
Pricing
Build your Recruitment Team AI Candidate Screening price
Pick a package, answer three short questions about how Recruitment Team data should reach AI Candidate Screening, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from a pile of resumes to a shortlist you can explain
Six deliberate steps keep a small project from turning into a long one.
-
About 30 minutes
Agree the requirements
We write down must-haves, nice-to-haves and knockout questions with the recruiter and hiring manager for one role.
-
Access review
Approve access
We arrange narrow Recruitment Team access, confirm the model provider and its data terms, and settle how decisions are identified.
-
Most of the project
Agree review rules
Who reviews the shortlist, how borderline cases are handled and what is never automatic are written down and signed off.
-
Before you review
Test with bad data
Missing fields, odd characters, repeated events and revoked access are fed through a test AI Candidate Screening on purpose.
-
Handover day
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
-
About 30 minutes
Tune and hand over
Thresholds, branches and owners are adjusted after the first real runs, then the notes are finalized, in the AI Candidate Screening and Shortlisting service.
Chapter 07 Turnaround
How long the AI Candidate Screening packages take
The clock starts once your applicant system is connected and one role's requirements are agreed.
Start
6 to 10 business days
Orchestrate
10 to 16 business days
Command
16 to 24 business days
Chapter 08 Getting started
What we ask of you
Authorization to reach the Recruitment Team objects in scope
Read access to your applicant system, a written requirement list for one role and the name of the recruiter who reviews shortlists
Sign-off on which Recruitment Team resources the route may read
The business rule that decides when a candidate status change becomes work in AI Candidate Screening
Any compliance rules that apply to the Recruitment Team data
Anything the route should do differently at weekends or on holidays
Chapter 09 Trust
Fields on a short leash, products left exactly as they are
Access is limited to the Recruitment Team objects in scope, the model gets a minimized view, and a person approves what changes anything.
Built outside the products
The logic lives in the route, not inside Recruitment Team or AI Candidate Screening, which means removing it later leaves both tools as they were.
Scoped, revocable access
Permissions are written down, minimal and reversible.
Fields on a need-to-know basis
Only the values in the approved map are written to the application; the rest of the record stays where it began.
Safe to try again
Because the candidate, the role and the reasons for each score is stored with each application, a retry can tell 'already there' from 'never arrived'.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
"A shortlist should be something a recruiter can defend in a sentence, so every name in the build arrives with its reason."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
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 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 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 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 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.
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 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 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.
Chapter 11 Questions
Screening and shortlisting: questions from recruiters and managers
We collected the questions that decide most purchases and answered them.
Do we need this if Recruitment Team already has AI features?
If a shortlist built on stated requirements and open to challenge is the whole job, use a zap. If the job also means you must read every application against the role's requirements, explain each score and let a recruiter decide, it is not. Everything in that list is included in the scope.
Does it reject candidates automatically?
No. It ranks and explains, and a recruiter decides who moves forward or is declined.
What does it base a score on?
Only the written requirements for the role, with the supporting line quoted from the application.
Does it guess age, gender or ethnicity?
No. It does not infer personal traits, and scores come from the requirement list alone.
Can recruiters change a ranking?
Yes. Any name can be moved, added or removed, and the change is recorded.
Which applicant systems work?
Most with an API, export or email feed, confirmed in the quote.
How is the screening workflow priced?
By the number of roles, the sources your applications come from and the systems that hold them; the total is fixed in the quote.
Who signs off the fields the model sees?
Each requirement, scoring item and review step is written into a one-page plan for your approval, and no application is scored until you sign it off.
Will it fit how our Recruitment Team work is organized?
Yes. Qualification rules, proposal types and approvers are all set to your process, from $1,295.
Can we swap the model provider later on the AI Candidate Screening and Shortlisting service?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately.
Give every applicant the same careful read and a shortlist you can explain
Tell us about a role that drew too many applications and who reviews shortlists; you receive a written quote before we read anything.
- From $1,295, paid once
- Reasons beside scores
- Recruiter decides
- No monthly fee from us