AI Agents

Build HR agents with real workforce context.

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.

27 domainsEsteemed Intelligence can add dense HR, hiring, and industry domains as the product grows.
ReviewableAgents draft, classify, summarize, and route work with human judgment still visible.
Workflow firstAgents are built around repeated People Ops work, not generic chat prompts.

Tailor agents to your workflows.

Start with recruiter, worker classification, onboarding, policy, or employee support agents, then add dense domain context as your team finds repeatable work.

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Agent examples

Agents for the work HR teams repeat every week.

Recruiter Agent

Turns intake notes into role briefs, job descriptions, screening criteria, interview plans, outreach, and candidate summaries.

Worker Classification Agent

Helps review employee, contractor, exempt, non-exempt, state, role, and engagement facts before routing to human review.

Policy Agent

Answers handbook, leave, benefits, travel, expense, conduct, and remote-work questions with sourced context and escalation flags.

Onboarding Agent

Builds onboarding checklists, first-week plans, manager reminders, document requests, and employee communications.

Employee Relations Triage Agent

Summarizes sensitive issues, identifies missing facts, drafts next-step notes, and preserves a careful review posture.

Comp + Benefits Agent

Helps explain plan language, salary bands, offer details, eligibility rules, and manager talking points.

Compliance Review Agent

Checks HR drafts for policy, jurisdiction, documentation, and approval considerations before final review.

Workforce Planning Agent

Summarizes headcount needs, open roles, skills gaps, attrition notes, and hiring priorities by team or location.

Manager Enablement Agent

Prepares feedback drafts, coaching notes, interview guides, performance-review language, and employee communication templates.

Esteemed Intelligence

Domain density makes the agent useful.

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.

Industry vocabulary

Teach agents the words, constraints, and signals that matter in each field.

Company memory

Reuse the organization’s policies, role libraries, process docs, and operating preferences.

Human escalation

Route risky, sensitive, or judgment-heavy outputs to HR leaders, legal, compliance, or Esteemed experts.

Build path

From chat to repeatable agent workflow.

1. Define the job

Name the workflow, inputs, allowed actions, review points, and desired output.

2. Add context

Ground the agent in policies, role libraries, examples, industry terms, and company-specific rules.

3. Test against cases

Run representative HR scenarios, edge cases, cost-saving opportunities, and escalation paths before broad rollout.

4. Improve the domain

Capture corrections and expand the domain model so the agent gets denser over time.