AI for HR that screens fairly
Resume screening, candidate engagement and employee-policy assistants — built with bias controls and wired into your ATS and HRIS.
Where AI actually moves the needle in HR & Recruitment
Recruiting is a funnel problem with a fairness obligation. Screening hundreds of resumes against a role, scheduling interviews across calendars, and keeping candidates warm with timely updates is high-volume work that AI handles well — provided it’s built to evaluate skills and evidence rather than proxies for age, gender or background. We design screening to be explainable and bias-tested, with a recruiter making every advance decision.
Candidate experience is a differentiator most companies leak. A responsive agent that answers application questions, confirms next steps, and chases missing documents keeps people engaged instead of ghosting. Internally, the same pattern serves employees: a policy assistant that answers leave, payroll and benefits questions from your actual handbook saves HR from the same fifty questions every week.
Onboarding and HR operations are full of repeatable workflows — generating offer letters, structuring onboarding checklists, and routing employee requests — that an agent can draft and orchestrate. We integrate with ATS and HRIS platforms so the AI acts on real candidate and employee records, and we treat fairness, explainability and data privacy as non-negotiable across India and the World.
What we build for HR & Recruitment teams
Resume screening agent
Ranks candidates against role requirements on skills and evidence, bias-tested and explainable, with the recruiter deciding.
Interview scheduling bot
Coordinates availability across panels and candidates and books interviews without the email back-and-forth.
Candidate engagement agent
Answers applicant questions, confirms next steps and chases documents to cut drop-off and ghosting.
Employee policy assistant
Answers leave, payroll and benefits questions grounded in your actual handbook and HR policies.
Offer & onboarding orchestrator
Drafts offer letters and structures onboarding checklists, routing tasks across the team automatically.
Sourcing & JD copilot
Drafts inclusive job descriptions and helps recruiters refine boolean and outreach for a role.
How we deliver
| Capability Parameter | System Specification |
|---|---|
| Integrations | ATS (Greenhouse/Lever/local), HRIS (Workday/Darwinbox), calendar, e-sign, payroll systems |
| Models | Frontier LLMs for evaluation and conversation, constrained to skills-based, evidence-grounded criteria |
| Guardrails | Bias testing, explainable screening, recruiter approval on every advance/reject decision |
| Engagement | Fixed-scope build, 4–10 weeks, then optional operate retainer |
| Typical budget | ₹20L–₹50L / $20k–$60k per production system |
| Data & compliance | Candidate and employee PII protection; fairness documentation; per-org data isolation |
