IT Services – Slice1
Built for IT services & SaaS

Hiring is the business. So is keeping them.

In IT services and SaaS, every quarter is a recruiting quarter. You're not just running payroll — you're filling open roles before the client SOW expires, scoring 100 applicants in an afternoon, and tracking equity refreshes for senior engineers. hrPLANR is built for the recruitment-led HR motion.

Q2 hiring · this week
47 applicants
47
Applied
12
AI-scored
5
Interview
1
Offer
Backend Engineer · Bengaluru
CLOSED
Time to fill: 14 days · was 38 last cycle
AI Recruitment Matching · scored all 47 resumes in 4m 12s
What recruitment-led HR teams deal with
01
Roles open for 6 weeks · clients escalate · candidates ghost
02
JDs go out · 100+ resumes come in · 90 of them are wrong fit
03
Q4 attrition pattern in engineering · no early warning system
04
Senior engineers asking about equity refresh · spreadsheet-tracked
05
Onboarding the new hire on Day 1 · they're still chasing offer-letter copies
Modules that fit your reality

Three modules that earn their place here

IT services HR teams use the whole platform, but these are where the value clicks fastest:

RECRUITMENT

AI Recruitment Matching

Score 100 resumes in 4 minutes. AI ranks candidates against the JD with a fit score + reasoning — your team interviews the top 12, not the top 47. Time-to-fill drops by 30-50% in the first quarter for most IT services customers.

  • 100 resumes in 4 minutes (Premium AI Pack)
  • Fit reasoning · not just a score
  • BGV integration · AuthBridge (Coming Q3 2026)
  • Cross-modal: matches JD against project history
See recruitment
ONBOARDING

Day-1 ready · before Day 1

Offer accepted to Day-1 ready in 5 working days. Equipment provisioning, system access, BGV, statutory enrollment all in parallel. The new hire walks in on Day 1 with their laptop already set up and Slack invite waiting.

  • Trigger from offer acceptance · auto-workflows
  • BGV status visible in real time
  • Personalised welcome packet · AI-generated
  • 30/60/90 check-ins · NPS at 90 days
See onboarding
OFFBOARDING + AI

Predictive attrition · before the resignation letter

Once you've offboarded 50+ people, the patterns become useful. AI cross-references exit interview themes, performance scores, attendance shifts — and flags the 5 people most likely to leave next quarter, with manager-action recommendations.

  • Predictive attrition (Premium AI Pack)
  • Risk score + theme cluster
  • Manager-action suggestions · save rate tracked
  • Attrition trend dashboards for CHRO
See offboarding
A signature workflow

47 applicants → 1 hire. In 14 days.

This is what AI Recruitment Matching actually does on a Tuesday morning. A Backend Engineer JD goes live Monday. By Tuesday EOD, 47 applicants have applied. By Wednesday morning, AI has scored all 47 against the JD with reasoning. Your recruiter interviews 5. The hire is closed by the second week.

  • Mon 9 AM — JD live · auto-syndicated to LinkedIn, Naukri, Instahyre
  • Tue 6 PM — 47 applicants · AI scores all 47 in 4m 12s
  • Wed 10 AM — recruiter reviews top 12 · interviews 5
  • Wed-Thu — technical rounds · panel feedback in-system
  • Fri — offer extended · accepted · Onboarding workflow triggered
  • Day 14 — new hire's Day-1 walkthrough · laptop ready, Slack joined
AI scoring · Backend Engineer · Bengaluru
4m 12s
MS
Meera Singh
Go · k8s · Postgres · 5y
92
INTERVIEW
AK
Arjun Kumar
Python · Django · 4y
88
INTERVIEW
NB
Nidhi Bansal
Node · Postgres · 6y
85
INTERVIEW
VG
Vikram G.
Java · Spring · 7y
78
MAYBE
RT
Ravi T.
PHP · MySQL · 3y
42
PASS
42 more candidates scored · view all in the pipeline
Statutory edges

Built for your statutory reality

IT services companies have their own statutory edges: Section 10(10AA) on F&F, equity tracking, multi-state PT.

F&F
₹6.4L avg
for a 4-yr engineer · auto-computed
Form 16
All FYs
self-serve · employee vault
Equity
Tracked
ESOP grants + cliff + refresh
PT
All states
Karnataka, Maharashtra, TN, etc.
What IT services teams use hrPLANR for

Companies like yours

ST
A 340-person IT services firm in Bengaluru — AI Recruitment Matching cut time-to-fill from 38 days to 14 days. Saved ~12 HR hours per week.
SS
A 78-person SaaS startup in Pune — onboarding workflow gets new hires productive on Day 1 (laptop + Slack + Linear + Notion access in parallel).
CT
A 612-person services group in Hyderabad with two delivery centres — predictive attrition flagged a senior engineer 8 weeks before resignation. Save retention conversation worked.
PS
A 124-person product studio in Chennai — using equity refresh tracking + AI HR Assistant to answer compensation queries in Slack without HR involvement.
Other solutions by industry

Hire faster. Keep them longer.

30-minute demo · we'll walk through a recruitment cycle with your JD.