13 lakh candidates screened. Zero headcount added.

13L+

Candidates screened

70%

Pre-filtered by AI HRs

Same day

Interest check

Industry

Diagnostics & Healthcare

Target role

5 distinct roles

Scale

Tier 1, 2 & 3 cities

Volume

13L+ candidates

Candidate screening

13L+

Candidates screened

70%

Pre-filtered by AI HRs

Same day

Interest check

Screening for

Packing Associates

0:00/1:34

A silent revenue leak disguised
as a hiring problem

Dr Lal PathLabs needed to hire at scale across dispersed geographies for 5 distinct roles — each with different skill benchmarks. Their manual screening process was creating a silent revenue leak. Every empty seat in a collection centre meant lost patients, lost tests, and lost revenue. Every single day.

The core problem

Empty Phlebotomist seats = lost diagnostic revenue per collection centre, per day. The business could not afford slow hiring.

The outcome

Same-day shortlisting across all 5 roles. HR bandwidth fully redirected from filtering to onboarding and retention.

The challenges

Challenge #1

High-volume, low-signal applications

Challenge #2

Geographic friction killing funnel quality

Challenge #3

Slow time-to-hire directly impacting revenue

  1. High-volume, low-signal applications

Manual filtering consumed recruiter bandwidth with no consistent evaluation standard across interviewers or locations. Every day was a different bar.


  1. Geographic friction killing funnel quality

Tier 2 and 3 candidates dropped off at in-person screening rounds. The best talent in smaller cities was simply unreachable through existing processes.


  1. Slow time-to-hire directly impacting revenue

Every day a Phlebotomist seat stayed vacant was a day of lost diagnostic revenue for that collection centre — a direct P&L impact.


  1. No consistent evaluation bar across locations

Assessment quality varied by recruiter mood, fatigue, and availability — making quality-of-hire unpredictable and impossible to benchmark at scale.


Solution

Candidate added to job queue

WhatsApp conversational screening

Voice AI fallback — the 3-hour rule

Instant pass / fail evaluation

Walk-in scheduling & reminders

  1. Candidate added to job queue

    A check-interest message is triggered automatically the moment a candidate enters the pipeline. Zero recruiter action needed to initiate outreach.


  1. WhatsApp conversational screening

    Candidate opts in and completes a role-specific flow on their own time, from anywhere in India — no travel, no scheduling friction.


  1. Voice AI fallback — the 3-hour rule

    No WhatsApp response within 3 hours? An AI-powered outbound voice call fires automatically. Channel preference never costs you a qualified hire.


  1. Instant pass / fail evaluation

    Responses scored against role-specific criteria defined by Dr Lal PathLabs' own HR team. Consistent, standardised, and bias-free across every location.


  1. Walk-in scheduling & reminders

    Passed candidates self-schedule their interview slot and receive automated reminders. Zero recruiter coordination required post-screening.




Before Hunar.AI, every single applicant required manual HR review — a 100% human workload. After deployment, 70% of screening is handled automatically by AI, with HR only touching the pre-qualified top 30%. This frees up significant recruiter time for higher-value work.


Manual screening took 4–7 days per role, varying by recruiter availability and workload. Hunar.AI compresses this to same-day across all five roles — Phlebotomist, TSM, ASM, Lab Tech, and Collection Agent — with zero role-to-role variance.