Maintain candidate records
Update permitted application fields from documented source information, preserve attachments and connect candidates to the correct openings and recruiting owners.
Managed AI staffing
A recruiting pipeline your team can read with confidence.
Give your recruiting team dependable records behind every candidate conversation. Your AI applicant tracking administrator maintains application details, stage history and task ownership, helping the team distinguish current opportunities, incomplete records and actions still waiting on a recruiter or hiring manager.
Find my AI workerBuild a free role brief Responsibilities, handoffs and quality measures. No signup.
The job behind the title
A busy applicant tracking system can contain duplicates, abandoned stages and inconsistent labels. Recruiters then spend time reconstructing the candidate story instead of relying on a clear, current record of the process.
Responsibilities
We shape these responsibilities around your systems, priorities and decision permissions.
Update permitted application fields from documented source information, preserve attachments and connect candidates to the correct openings and recruiting owners.
Identify potentially duplicated candidate records and follow your merge rules, preserving distinct applications and the history your team needs.
Apply documented stage changes and track required next actions, distinguishing an approved recruiting decision from an administrative status update.
Surface records missing essential information, stalled tasks and inconsistent classifications so recruiting owners can resolve the issues that affect reporting.
A clear handoff
Illustrative workflow
An example of how the work could run, tailored during onboarding. This is not a customer case study.
A candidate applies to two openings after speaking with a recruiter. Separate records now contain different email addresses, interview notes and application stages, making the recruiter unsure which entry is current.
The administrator compares the records using the approved identity checks, links the separate applications and prepares the permitted consolidation while retaining the relevant notes and attachments.
Two profiles share a name but have conflicting employment histories. The administrator holds the merge and asks the recruiting owner to verify identity before any records are combined.
Onboarding & continued development
We learn the job, your expectations and how your team works. Then we select and configure an AI worker for the role.
We help your bot learn your systems, policies and preferences. Together, we review its work and prepare it for the responsibilities you agree on.
We stay involved, review performance and continue coaching your bot. You have a human Botsource contact when the work needs attention.
We agree on targets and review methods together. These are proposed measures, not claimed results.
Before you get started
The role can review records for missing fields, inconsistent classifications and likely duplicates. We agree on merge and retention rules first, then keep proposed changes traceable so useful candidate history is preserved.
Not automatically. The administrator follows your stage definitions and documented decisions. Administrative updates, such as receiving a document, remain distinct from a decision to advance, reject or offer a role.
The process can maintain one candidate identity while preserving separate applications, stages and owners. Your data model determines the structure, and the administrator avoids collapsing different recruiting conversations into a misleading single status.
Start with the job
Tell us what the role needs to accomplish. We’ll talk through responsibilities, systems, onboarding and how you want to measure performance.
You’ll leave the assessment with a clearer role plan and next steps for preparing the right AI worker.
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