AI agents for HR teams
Take the load off recruiting and people ops — screening, onboarding, policy questions and HR tickets — with agents that keep humans in control of every people decision.
What this means for your people team
HR teams drown in repetitive volume: shortlisting resumes, answering the same policy questions, driving onboarding checklists and triaging employee tickets. It is exactly the work that delays hiring and frustrates new joiners.
An AI agent can pre-screen applications against a role brief, answer policy questions from your handbook, run onboarding workflows and route HR tickets to the right owner — while every hiring and people decision stays with a human.
Because HR is sensitive, we build for fairness and traceability: structured screening criteria, logged reasoning, redaction of protected attributes where appropriate and human sign-off on decisions. The result is faster cycles and consistent answers without ceding judgement to a model.
What we build
Candidate screening
Scores applications against a structured role brief and surfaces shortlists for human review.
Policy Q&A agent
Answers employee questions grounded in your actual handbook and HR policies.
Onboarding automation
Drives onboarding checklists, document collection and reminders for new joiners.
HR ticket triage
Classifies and routes employee requests, drafting first responses for HR to approve.
Fairness guardrails
Structured criteria, logged reasoning and redaction of protected attributes where appropriate.
Human sign-off
Every hiring and people decision requires a human; the agent recommends, it does not decide.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Integrations | ATS, HRIS, ticketing and document/handbook sources |
| Actions | Screen applications, answer policy Q&A, run onboarding, route tickets |
| Safety | Bias-aware structured scoring, attribute redaction, human approval on decisions |
| Grounding | Retrieval over your handbook and policies so answers cite real documents |
| Engagement | Pilot on one workflow (e.g. screening or policy Q&A), then expand |
| Typical budget | ₹20L–₹40L / $20k–$50k per workflow |