Recruiter Agent
Turns intake notes into role briefs, job descriptions, screening criteria, interview plans, outreach, and candidate summaries.
HCMGPT helps teams create recruiter agents, worker classification agents, onboarding agents, policy agents, and employee support agents that understand roles, documents, workflows, and industry language. The goal is to craft repeatable workflows agents can execute, reducing cost while humans focus on the work that needs judgment, trust, and relationships.
Start with recruiter, worker classification, onboarding, policy, or employee support agents, then add dense domain context as your team finds repeatable work.
Turns intake notes into role briefs, job descriptions, screening criteria, interview plans, outreach, and candidate summaries.
Helps review employee, contractor, exempt, non-exempt, state, role, and engagement facts before routing to human review.
Answers handbook, leave, benefits, travel, expense, conduct, and remote-work questions with sourced context and escalation flags.
Builds onboarding checklists, first-week plans, manager reminders, document requests, and employee communications.
Summarizes sensitive issues, identifies missing facts, drafts next-step notes, and preserves a careful review posture.
Helps explain plan language, salary bands, offer details, eligibility rules, and manager talking points.
Checks HR drafts for policy, jurisdiction, documentation, and approval considerations before final review.
Summarizes headcount needs, open roles, skills gaps, attrition notes, and hiring priorities by team or location.
Prepares feedback drafts, coaching notes, interview guides, performance-review language, and employee communication templates.
The same agent pattern changes by industry. A recruiter agent for staffing needs req intake, bill rate, redeployment, and client submittal language. A healthcare recruiter agent needs licenses, care settings, specialties, shifts, and credentialing. HCMGPT can add those dense domains as customers need them.
Teach agents the words, constraints, and signals that matter in each field.
Reuse the organization’s policies, role libraries, process docs, and operating preferences.
Route risky, sensitive, or judgment-heavy outputs to HR leaders, legal, compliance, or Esteemed experts.
Name the workflow, inputs, allowed actions, review points, and desired output.
Ground the agent in policies, role libraries, examples, industry terms, and company-specific rules.
Run representative HR scenarios, edge cases, cost-saving opportunities, and escalation paths before broad rollout.
Capture corrections and expand the domain model so the agent gets denser over time.