Managed AI workforce role

Increase recruitment capacity with accountable human decisions.

An AI-enabled recruitment professional supporting sourcing, screening administration, candidate communication and onboarding without delegating material hiring decisions to AI.

AI Recruitment Operator: a trained professional using AI inside documented workflows, with human accountability for material decisions and outputs.

Typical responsibilities

  • Sourcing research
  • Screening administration
  • Candidate communication
  • Onboarding workflow support

Example AI-enabled workflows

01

Sourcing research brief

Configured around approved information, review criteria, escalation rules and measurable output standards.

02

Candidate communication workflow

Configured around approved information, review criteria, escalation rules and measurable output standards.

03

Interview preparation pack

Configured around approved information, review criteria, escalation rules and measurable output standards.

04

Onboarding coordination system

Configured around approved information, review criteria, escalation rules and measurable output standards.

How Lymora deploys the role

  1. Define responsibilities, systems, risks and performance measures.
  2. Select and assess a suitable professional.
  3. Build applied AI and role-specific workflow capability.
  4. Onboard the operator into client context, SOPs and controls.
  5. Review quality, performance, wellbeing and workflow improvement.

See the frameworks behind the deployment →

Explore a managed ai recruitment operator.

Share the role, recurring work and current capacity gap. Lymora will recommend the right scope, onboarding and management model.