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Lever AI candidate sourcing for teams sitting on thousands of forgotten applicants

Lever AI candidate sourcing automation that finds past applicants and silver medalists in your own records for a new opening, drafts the message for approval and keeps the consent trail

Lever is candidate-centric, so people can sit in the system without ever having applied to a posting, and its archive reasons come in two types, hired and non-hired. BoldBellows records the opportunity, the archive reason and the consent on file before a name is suggested, searches only your own Lever records and leaves any outside profile alone, then reads the new posting's requirements, searches archived opportunities whose reason, stage reached and tags make them plausible, asks a model to rate each against the posting with a one-line rationale quoted from the record, shows a recruiter the ranked prospects, drafts a short first message in your voice for each approved name, and records why the person was suggested. Nothing is sent without a recruiter's approval, and no outside profile is scraped.

View Pricing

From $1,360, paid once. Source from your own Lever database.

  • Source from your own Lever database
  • Silver medalists surfaced
  • Consent and source trail kept
Lever AI candidate sourcing that matches past applicants and silver medalists in your own database to new openings, drafts outreach for recruiter approval and keeps the source and consent trail, built by BoldBellows

Proof that the Lever AI route stays under control

  • Own records onlyno outside scraping
  • Reason recordedwhy each name appears
  • Consent checkedbefore any draft
  • Recruiter approvesnothing sends alone
  • Plain-language notesOperators get notes written for operators, not developers
  • No meter running$1,360 covers design, build, tests and handover; nothing accrues afterwards

B2Before and after

Thousands of good applicants sit in the archive while a new job is posted to strangers

Every rejected-but-strong candidate, every silver medalist and every referral that did not fit at the time is still in Lever, and nobody remembers them when the next opening arrives. A recruiter searches by keyword, scrolls a page of names and gives up. Meanwhile the agency fee for a stranger is paid. A tool that goes outside your records to scrape profiles is a different risk: it can breach a platform's terms and a candidate's expectations. Old consent also expires, and a message to someone who asked not to be contacted is worse than silence.

Sound familiar?

Silver medalists forgotten

No one searched the archive.

A keyword search that misses

The same skill had other words.

Agency fees for known people

The archive was ignored.

Outreach to someone who opted out

Consent was not checked.

A name with no reason

Nobody recorded why.

Scraped profiles

The tool left your records.

The same recruiters, starting from people who already know you

Before

Before Lever to AI workflow automation: manual candidates exports, duplicates and broken formulasThe old way: a spreadsheet with a duplicated candidate, #N/A and #REF! errors and a note asking which row is right.candidates (2).csvstage changes v3.csvcandidates_export_FINAL_v3.xlsxCandidateCandidateHiresStatus#1048Maya Chen9Hired#1049Omar Hale14Hired#1049Omar Hale14Duplicate#1050Lena Brooks#N/AHired#1051Sam Ortiz21#REF!Which row isthe right one?
  • Whatever Lever sends, the AI workflow receives
  • The archive is searched by memory
  • New openings go to strangers first

After

After Lever to AI workflow automation: one clean workflow that matches LeverThe new way: a five-week calendar grid coloured by daily net hires, from low to high.Hires hires by dayLast 5 weeksMTWTFSS9k13k13k14k18k15k19k19k16k16k20k16kLowHighUpdated live
  • One key built from the contact, the target posting, the match rationale and the model run ties the AI workflow proposal to the Lever event
  • Past candidates are matched to each opening with a recorded reason
  • Outreach starts only with approval and valid consent

D4How it works

How a new opening becomes a shortlist from your own archive

Events are filtered, keyed, searched and then written, with a record at each stage.

How Lever to AI workflow automation works: candidates in, one clean proposal each, on a scheduleYour Lever account sends data through a read-only link to the BoldBellows sync, which removes duplicates and handles stage changes, then fills your AI workflow on your schedule.Your LeveraccountCandidates,jobs, interviewsCandidatesPipelineStage changesBoldBellows syncReads only, writes onceNo duplicate proposalsEdits and stage changes updateYour time zone and settingsYour AIworkflowQueues, reportsand a dashboardRead-onlyYour scheduleHow Lever to AI workflow automation works: candidates in, one clean proposal each, on a schedule, stacked: your account, the BoldBellows sync, then your AI workflow.Your Lever accountCandidates, jobs, interviewsCandidatesPipelineStage changesBoldBellows syncReads only, writes onceNo duplicate proposalsEdits and stage changes updateYour time zone and settingsYour AI workflowQueues, reports and a dashboardRead-onlyYour schedule

1. Receive, log, qualify

The event arrives from Lever, is logged with its identifiers, and is qualified or set aside.

2. Read, search, rate

The posting is read, archived opportunities are searched, and a model rates each match with a quoted rationale.

3. Review, draft, record

A recruiter reviews the ranking, drafts are written for approved names, and the reason and consent are recorded.

E5Inside your workflow

Inside the sourcing route: the parts that search and rate

Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.

Owner dashboard fed by Lever to AI workflow automationOwner dashboard in AI workflow: four KPI tiles, a daily net hires chart and a best sellers list.Owner dashboardLast 14 daysHires hires1842+8.2%Candidates312+5.1%Avg candidate6+1.4%Stage changes64-0.6%Hires hires by day8 Sep21 SepTop rolesApplied86Take-home task54Hired41Rejected37Onsite29

Direct

Source state reader

Reads the current Lever state behind the event so stale or partial notices are not acted on.

Direct

Stable identity ledger

Records which Lever data the model saw, what it proposed and who approved it, in a row that cannot be edited quietly.

Direct

Required-field check

Stops an incomplete Lever record before it produces a half-filled proposal in the AI workflow.

Managed

Archive searcher and rater

Finds plausible past candidates and rates each against the posting.

Managed

Contact-and-posting matcher

Gives every event one of four outcomes using one key built from the contact, the target posting, the match rationale and the model run: new, update, done or unclear.

Managed

Consent and exclusion matrix

Decides who may be contacted, who is skipped and which fields the model sees.

Watchful

Sourcing register

Compares state across Lever and the AI workflow and ranks each gap by age.

Watchful

Stale-consent monitor

Flags a prospect whose consent has aged past your limit.

Watchful

Ownership map

Shows who is responsible for each class of exception between Lever and the AI workflow.

Looking into lever ai candidate sourcing automation? The same brief covers lever candidate matching new openings and lever ai candidate sourcing automation agency. Related searches include lever ai candidate sourcing error handling, lever ai outreach draft, lever talent pool search, lever ai candidate sourcing implementation, lever silver medalist outreach, lever archive search automation, lever ai candidate sourcing automation integration, ai sourcing for lever, automate sourcing in lever, lever candidate rediscovery ai, lever ai candidate sourcing automation setup, lever ai candidate sourcing automation service, lever ai recruiter assistant, lever ai candidate sourcing automation API, lever past applicants rediscovery, lever ai candidate sourcing historical migration, lever ai candidate sourcing, lever ai candidate sourcing automation consultant, lever ai candidate sourcing duplicate prevention, lever ai candidate sourcing automation workflow, lever sourcing automation without scraping and lever ai candidate sourcing consultant.

G7Who it is for

Who uses this: media companies, all needing to surface past applicants and silver medalists from your own Lever records for a new opening, draft the first message for a recruiter to approve, and keep the source and consent trail

Recruiters want a head start. Candidates want to be contacted only when it is welcome, and finance wants fewer agency fees.

Recruiter

"I know we have seen this person before."

The archive is searched for every new opening.

Hiring manager

"Can we avoid another agency fee?"

Past candidates are offered first.

Head of talent

"Show me why someone was suggested."

Each name carries a quoted rationale.

Compliance lead

"Respect opt-outs."

Consent is checked before any draft.

Sourcer

"Save me the first-draft work."

Drafts are written in our voice for approval.

Founder

"Use what we already paid to find."

Past applicants become the first pool.

Budget is driven by prospects, matches and drafts

Cost your sourcing route, one consent rule at a time

Decide what may start an AI decision, how it is matched and how it recovers, and the price moves with you from $1,360.

View Pricing

One setup fee

I9Your options

Choose your route from Lever to the AI workflow: a recruiter scrolling old candidates by memory, zap or an own-database sourcing route

Each can search an archive. Only one rates against the posting, records why and checks consent first.

Comparison table: Choose your route from Lever to the AI workflow: a recruiter scrolling old candidates by memory, zap or an own-database sourcing route
How a run startsA scroll through old namesA generic sourcing scraperOur own-database sourcing route
What starts the workWord of mouth in the teamEvery delivery attemptAn event admitted by rule, not by default
How identity is decidedA manual lookup each timeA field anyone can editOne key: contact, target posting, rationale and model run
What reaches the AI workflowAnything that fits the formA single-step writeA ranked shortlist with reasons, awaiting a recruiter's approval
After an uncertain resultDiscovered at month endTries again without checkingHolds the case with evidence for an owner
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

Old news arrives after new

Each Lever event carries its own time, and the route applies it only if it is newer than what the AI workflow already shows.

A strong match has not been contacted in three years

The route sees the age of the last consent, holds the draft, flags the name as needing a fresh opt-in path, and lets the recruiter decide how to reach out. With one key built from the contact, the target posting, the match rationale and the model run the route can say whether the work is missing, done, off, or unclear, and it says so in the log. Matching and differing records are handled separately; only a missing one is created.

Choosing one key built from the contact, the target posting, the match rationale and the model run is step one; the field map and the branches are built on top of it.

Pricing

Build your Lever AI Candidate Sourcing price

Pick a package, answer three short questions about how Lever data should reach AI Candidate Sourcing, and your price and turnaround move as you choose.


Choose your packageRequired

The three packages differ by how much routing, reconciliation and governance sits around the Lever to AI Candidate Sourcing route.

A focused production route for one Lever event family and one governed candidate sourcing queue, delivering AI sourcing for Lever that matches past applicants and silver medalists in your own database to new openings, drafts outreach for recruiter approval and keeps the source and consent trail with identity, evidence and failure controls from day one.

  • One approved Lever event family and business-state admission rule within the Lever AI Candidate Sourcing service.
  • One authorized account, workspace, organization, or base boundary within the Lever AI Candidate Sourcing service.
  • One AI Candidate Sourcing object contract with field and relationship mapping within the Lever AI Candidate Sourcing service.
  • Stable matching through Lever account plus candidate, opportunity, posting, interview, or offer ID and source identity paired with the ai candidate sourcing record, conversation, case, event, or result identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the Lever AI Candidate Sourcing service.
  • Implementation map, test record, and premium PDF operations handover within the Lever AI Candidate Sourcing service.

Adds branching, existing-record matching and a bounded historical pass for teams whose Lever signals need more than one approved candidate sourcing path, while still delivering AI sourcing for Lever that matches past applicants and silver medalists in your own database to new openings, drafts outreach for recruiter approval and keeps the source and consent trail.

  • Everything in Core
  • Up to four approved routing or state-transition branches within the Lever AI Candidate Sourcing service.
  • Existing-record resolution and one bounded historical checkpoint within the Lever AI Candidate Sourcing service.
  • Lookup-before-replay protection for uncertain writes
  • Named exception ownership and a decision-ready evidence packet within the Lever AI Candidate Sourcing service.
  • Field, permission, and destination-state validation before mutation within the Lever AI Candidate Sourcing service.

Adds reconciliation, drift detection and an aged-exception report for teams that now depend on candidate sourcing proposals every day.

  • Everything in Managed
  • Scheduled source-to-destination reconciliation
  • Schema, field, scope, and webhook drift checks within the Lever AI Candidate Sourcing service.
  • Volume-aware retry ceilings and stale-event protection
  • Aged-exception reporting with ownership status
  • Thirty-day release watch and operating review

Within the Lever AI Candidate Sourcing scope, multi-business-unit routing, unrestricted bidirectional synchronization, regulated archives, unsupported extensions, or additional destination systems receive a separate written quote. Third-party subscriptions and usage charges are excluded.

Which Lever changes should be allowed to start an AI candidate sourcing decision?Required

Governed lifecycle set: Use this when several documented Lever states must converge on one candidate sourcing decision.

How should a Lever record that already has an AI candidate sourcing decision be recognized?Required

Ambiguity queue: Send zero-match and multi-match candidate sourcing cases to a named reviewer instead of letting the model guess.

What should happen when an AI candidate sourcing action can't be confirmed?Required
How soon do you need it live?Required

Standard follows the schedule your other choices set. Pay to move up the queue and go live sooner.

Optional extrasOptional

Each one begins switched off. Turn on what your rollout needs, watch the total, switch it back off.

J11The process

Six steps to a sourcing route that uses what you already have

A short, repeatable process of six steps, ending in a launch review.

  1. Map the archive

    We review your archive reasons, tags and stages and what consent you hold for each group.

    Day 1
  2. Approve access

    Access to Lever is limited to what the route needs, and the model service, keys and data handling are agreed with you.

    Access review
  3. Set the sourcing rules

    Which groups may be contacted, how old consent may be and who approves drafts are decided and recorded first.

    Build phase
  4. Test what goes wrong

    Duplicate deliveries, slow events, blank fields and denied permissions are run in a test copy of the AI workflow, in the Lever AI Candidate Sourcing service.

    Before you review
  5. Launch with notes

    The last step is release: a defined start, a review window and a PDF you can keep.

    Release day
  6. Launch support

    For a short period after launch we respond quickly to anything unexpected in the live route.

    Day 1
Handover for Lever to AI workflow automation: notes, a checked run and a health checkHandover timeline: brief, map, build, test, hand over and a week of support, with the current step highlighted.From first brief to a workflow that runs itself1Brief1 page2MapFields3BuildSync4TestEdge cases5Hand overPDF pack6Support1 weekClear scopeSet onceTested on real candidatesZero duplicatesOwned by youPlain notes

K12Turnaround

How long the AI Candidate Sourcing packages take

Dates start once the Lever scope and the model service are settled.

Direct

6 to 10 business days

Managed

10 to 16 business days

Watchful

16 to 24 business days

L13Getting started

What we ask of you

Authorisation to reach the Lever objects in scope

Read access to your Lever contacts and opportunities, your consent rules and a named approver for outreach

Test records in Lever for the acceptance runs

Names of the people who decide when a Lever event is valid

Your rule for what to do when Lever and the AI workflow disagree

A decision on whether history should be loaded or only new events

M14Safety and ownership

A route that borrows access, never rewrites your tools

The route reads approved Lever records, asks the model for a structured proposal and applies it only after the approval step you choose.

Read-only Lever to AI workflow access: your data stays yoursAn AI workflow covered by a padlock with a note that you own it and access is read-only.Candidates (read-only)You own itRead-only access

Reversible by design

Because nothing inside Lever or the AI workflow is modified, switching the route off returns both tools to how they were.

Scoped, revocable access

Permissions are written down, minimal and reversible.

A purpose for every field

Each mapped field has a reason recorded beside it, so a later review can tell why it was sent.

Find first, write second

The route finds the proposal through one key built from the contact, the target posting, the match rationale and the model run before choosing between create, update and leave alone.

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.

N15In their words

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.

Olivia MartinezVerifiedAustin, USA

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.

Samuel BoatengVerifiedAccra, Ghana

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.

Kwame MensahVerifiedKumasi, Ghana

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.

Maria GonzálezVerifiedMadrid, Spain

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.

Daniel BrooksVerifiedToronto, Canada

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.

Aisha MohammedVerifiedDubai, UAE

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.

Lucas SteinerVerifiedMunich, Germany

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.

Chloe AndersonVerifiedMelbourne, Australia

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.

Emily CarterVerifiedLondon, United Kingdom

P16FAQ

Own-database sourcing in Lever: what talent teams ask

We collected the questions that decide most purchases and answered them.

PriceTimeAccessHandover?Every question, answered
Can a Lever AI recipe replace this build?

To get strong past candidates found before a job is posted, a connector will do. To find the right person among thousands of old records, respect consent and opt-outs or leave a trail of why someone was suggested, you need a designed route. Each of those is covered, tested and handed over in writing.

Does it scrape LinkedIn or the web?

No. It searches only your own Lever records.

Does it send messages by itself?

No. Drafts wait for a recruiter's approval.

How does it handle consent?

It checks what consent you hold and skips or flags anyone outside your rules.

Why was this person suggested?

Each suggestion carries a one-line rationale quoted from the record.

Can it use confidential opportunities?

Only if policy allows, and only with the confidential scope granted.

Which model writes the drafts?

Whichever you approve; each draft stores the model that wrote it.

Do you provide a Lever data-minimisation map?

Included in the fixed price: a written map of the Lever fields the model reads and the fields an approved proposal may write.

Can the route use our approval process in the Lever AI Candidate Sourcing service?

Yes. The route can follow different rules for different Lever projects or teams, from $1,360.

How do you handle a model or API change in the Lever AI Candidate Sourcing 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. If you searched for custom lever ai candidate sourcing automation, this is the service that delivers it.

Q17Find your next hire in the people you already know

Give your recruiters a head start from your own archive

Direct opens at $1,360.

  • From $1,360, paid once
  • Own records only
  • Recruiter approves
  • No monthly fee from us

Unusual volumes or extra systems are quoted on request.