Introducing Supervity Autos. Hire AI Employees that run the operation.
Auto Recruitment · Talent Acquisition

Source, screen, schedule, and offer.
The pipeline runs itself.

Auto Recruitment runs talent acquisition end to end. AI Employees source and screen candidates, coordinate interviews, shortlist against criteria, and manage offers. Recruiters stop chasing calendars and screening resumes and start governing the pipeline and closing candidates.

Replaces the work ofWorkday RecruitingGreenhouseLeveriCIMSSmartRecruitersAshby
Auto Recruitment
Running
Senior Finance Analyst · Bengaluru
SourceFind + engage
ScreenCriteria + evidence
InterviewCoordinate + offer
Final selection and offers stay under human command. Actions follow policy and remain auditable.
24/7
Candidate sourcing, screening, and scheduling
~60%
Fewer tokens per process than frontier-model agents
90 Days
To a committed AI-first baseline under ROI Assurance
Apps wait. Autos finish.
Apps wait for people. Autos finish the work.

ATS software tracks applicants. Auto Recruitment fills the role.

Legacy recruiting software stores candidates and stages, then waits for a recruiter to source, screen, schedule, and follow up. Auto Recruitment runs the pipeline and escalates only the human decisions.

Your ATS today
The SaaS you run today
Auto Recruitment
The Auto that replaces it
Sourcing
Sourcing is manual boolean searches across job boards.
AI Employees source and match candidates against the requirement across channels.
Screening
Resume screening is a bottleneck at the top of the funnel.
Screening runs consistently against defined criteria on every applicant, fast.
Coordination
Interview scheduling is a back-and-forth over email.
Interview scheduling and coordination happen automatically across calendars.
Candidate follow-up
Candidates go dark because follow-up is inconsistent.
Every candidate receives timely, personalized follow-up under policy.
Compliance
Compliance and audit evidence is assembled by hand.
A defensible, consistent record of every decision is kept for compliance.
Every part of talent acquisition
The components of Auto Recruitment

Every part of talent acquisition, run by AI Employees

Auto Recruitment decomposes hiring into the components a talent team actually runs, each executed by governed AI Employees against a living talent graph.

Sourcing Employee

Candidate sourcing

Sources and matches candidates against the requirement across boards, networks, and the talent pool.

 

Talent-pool activation

Re-engages silver-medalists and prior applicants who fit the role before spending on new sourcing.

 

Job-description drafting

Drafts consistent, inclusive job descriptions from the requisition and role family.

 

Candidate engagement

Runs personalized outreach and keeps candidates warm under policy.

Screening Employee

Resume screening

Screens every applicant against defined criteria consistently, ending the top-of-funnel bottleneck.

 

Structured pre-screen

Runs structured pre-screen conversations and captures responses against the scorecard.

 

Shortlisting

Ranks and shortlists candidates against the criteria with the evidence attached.

 

Bias-aware criteria

Applies the defined, auditable criteria consistently so screening stays fair and defensible.

Scheduling Employee

Interview coordination

Schedules and reschedules interviews across panels and calendars automatically.

 

Interview kit preparation

Prepares interviewers with the candidate summary, scorecard, and questions.

Offer Employee

Offer management

Generates offers under approval policy and manages acceptance and negotiation.

 

Pre-boarding handoff

Hands the accepted candidate to onboarding with the record complete.

Policy

Policy authoring

Talent authors screening, approval, and communication rules in plain language; they take effect deterministically.

Approval

Requisition and approval

Routes requisition approvals through the delegation-of-authority matrix with evidence.

Workbench

Exception resolution

Edge cases arrive in the Auto Workbench with the candidate context and applied criteria for one decision.

Audit

Compliance and audit trail

Every decision is time-stamped and queryable for hiring compliance and audit.

End to end, not step by step
End to end, not step by step

The scenarios Auto Recruitment runs end to end

Each is a hiring operation the Auto owns end to end, with recruiters on the loop for oversight and in the loop on final selection and offers.

Auto RecruitmentOne operation, multiple outcomes
Automated candidate sourcing

Candidates are sourced and matched against the requirement across channels, continuously.

Source
Talent-pool re-engagement

Prior applicants and silver-medalists who fit are re-engaged before new sourcing spend.

Source
Consistent resume screening

Every applicant is screened against defined criteria consistently, ending the funnel bottleneck.

Screen
Structured pre-screening

Structured pre-screen conversations run and responses are captured against the scorecard.

Screen
Interview scheduling

Interviews are scheduled and rescheduled across panels and calendars automatically.

Interview
Offer management

Offers are generated under approval policy and acceptance and negotiation are managed.

Interview
Candidate follow-up

Every candidate gets timely, personalized follow-up so fewer go dark.

Source
Hiring compliance evidence

A defensible, consistent record of every decision is kept for compliance and audit.

Govern
AI does the work. Humans govern.
AI does the work. Humans govern.

How Auto Recruitment runs the operation

Every cycle runs through the four parts of an Auto. Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and each resolution deepens the Auto Graph. The operation compounds with every cycle.

01The workers

AI Employees

Multi-agentic talent workers source, screen, schedule, and manage offers across the ATS and calendar systems, escalating final selection and offers.

02The guardrails

Auto Policies

Screening criteria, approval limits, and communication rules are authored in plain language and enforced deterministically.

03Human in command

Auto Workbench

Edge cases and selections arrive with candidate context and the applied criteria. The recruiter decides once; the resolution trains the next pipeline.

04The core moat

The Auto Graph

Candidates, roles, criteria, and prior hires become a living per-tenant graph that sharpens matching and screening every cycle.

Governed through the Auto Manager Console.
Every action logged, time-stamped, and auditable.
Human-in-command
Proven in production

A talent team that closes candidates, instead of chasing calendars

A pipeline that sources, screens, and schedules itself

Supervity AI Employees run sourcing, screening, and interview coordination across high-volume hiring, screening every applicant consistently and keeping candidates warm. Recruiters move from administrative work to governing the pipeline and closing candidates.

Enterprise talent-acquisition deployment · SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.
[FACT NEEDED: name a citable recruitment reference account and hard metrics (time-to-fill, screening throughput) with the account team before external use.]
30%AI-first target at 3 months
60%AI-first target at 6 months
80%+AI-first target at 12 months
ROI Assurance is built in
ROI Assurance is built in

An outcome commitment, not a licence

Auto Recruitment is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.

30%

AI-first operations in 3 months

60%

AI-first in 6 months

80%+

AI-first in 12 months

Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.

Make talent acquisition AI-first

Make talent acquisition AI-first

See Auto Recruitment run your pipeline against your own roles and criteria in an FDE baseline scoping session.

Always Learning · Touchless End-to-End · Lowest-Cost Processing