Product Case Study · AI Recruitment
From Excel chaos to AI-native hiring.
Kalpita Recruit replaced manual, Excel-based hiring with a centralized, AI-enabled recruitment platform — 70% candidate engagement, 45% higher screening efficiency, 50% fewer manual follow-ups, and positions closed up to 30% faster.
70%
candidate engagement rate
45%
higher screening efficiency
50%
fewer manual follow-ups
30%
faster position closes
Overview
Six things that changed when hiring left the spreadsheet
From spreadsheets to one platform
Excel-based hiring transitioned to a centralized, automated recruitment platform.
Faster, tracked hiring
Hiring efficiency improved with role-based workflows and real-time tracking.
Decisions on evidence
Data-driven recruitment decisions enabled through analytics and reporting.
A better candidate experience
Candidate experience enhanced with AI-powered interview and chatbot integration.
Built to scale securely
Performance, security, and scalability strengthened with modern platform upgrades.
Approvals without the wait
Hiring delays reduced through automated approvals and simplified workflows.
Summary
We fixed our own hiring first. Then it became a product.
Kalpita Technologies transformed its internal recruitment operations with Kalpita Recruit 2.0, a scalable, AI-enabled recruitment platform. Replacing manual, Excel-based processes with an automated, centralized system dramatically improved hiring efficiency, visibility, and decision-making — with AI-driven interviews, chatbot assistance, and role-based workflows powering a smarter recruitment lifecycle. The internal transformation became the product now sold as Kalpita Recruit.
Product profile
At a glance
Kalpita Technologies — a growing IT services and software development company — faced operational inefficiencies in internal hiring due to manual systems.
- Industry
- IT Services & Software Development
- Size
- Medium-sized enterprise
High-level technical approach
The engineering behind Kalpita Recruit 2.0
- Interface
- A responsive web interface for desktop and mobile access, kept current so performance and stability improve with the platform rather than lagging behind it.
- AI engine
- Resume parsing, job-description matching and workflow automation run on a configurable generative-AI engine rather than a fixed provider dependency.
- Data
- A managed cloud database with multi-region data handling and full per-client segregation.
- Document store
- Integration with the organization’s existing enterprise document storage.
- Analytics
- Executive dashboards and recruitment analytics delivered through the business-intelligence tooling the leadership team already uses.
- AI Interview
- End-to-end integration with Kalpita AI Interview including question bank management, direct scheduling of AI interviews from Recruit, and automatic feedback flow.
- Chatbot
- Integration with Kalpita Nexa for conversational access to recruitment data.
The challenge
The problem we solved
Kalpita’s own hiring ran on Excel: scattered candidate data, manual approvals, no real-time visibility, and historical records that simply disappeared.
Spreadsheets
candidate tracking lived in Excel, so nothing was searchable and nothing was shared.
Lost history
past candidate data disappeared, and with it every re-engagement opportunity.
Manual approvals
requisition sign-off moved by email, adding days to every hire.
No visibility
nobody could see recruitment progress in real time.
Inconsistent
each team ran its own hiring process, and none of it scaled with demand.
The solution
A centralized, AI-enabled platform built on our own pain.
Kalpita built Recruit 2.0 as a single system for the whole hiring lifecycle — role-based, automated, and wired into Kalpita AI Interview and Kalpita Nexa.
Requisition management
Role-based requisition creation with multi-level approvals, so every opening follows the same governed path.
End-to-end recruitment workflow
sourcing to offer
AI interview integration
Question-bank management, interview scheduling and automated feedback generation, connected end to end.
Skill mapping
Tag-based skill mapping that suggests skills dynamically from candidate profiles.
Fast navigation
Searchable dropdowns and filters, so recruiters reach the right record without scrolling a list.
Reporting
Real-time reporting and analytics on pipeline health, hiring velocity and source effectiveness.
Historical retention
Past candidates stay retrievable, so a previous applicant is a shortlist candidate rather than a lost record.
Feedback window
Interviewers update feedback inside a defined window, which keeps decisions moving on a predictable timeline.
In-product assistance
Kalpita Nexa answers recruiter and candidate questions in real time, grounded in the organization’s own recruitment data.
The build
What we changed, step by step
Recruit 2.0 was not a feature release. It replaced the process end to end, then added the AI layer on top.
Custom recruitment platform developed
Kalpita Recruit 2.0
Access control added
Role-based permissions replaced ad-hoc access, giving every workflow a defined owner.
Candidate data centralized
One record per candidate, retrievable and reusable across requisitions.
Approvals automated
Requisition and approval routing moved out of email and into the platform.
AI interviewing integrated
Screening now hands off directly to assessment, with no manual step between them.
In-product assistance added
Kalpita Nexa answers recruiter and candidate questions in real time, grounded in the organization’s own recruitment data.
Interface modernized
The web interface was brought up to date for responsiveness and stability on desktop and mobile.
Security hardened
Authentication and platform security were strengthened alongside the workflow changes.
Inside Kalpita Recruit
Results
What Kalpita Recruit delivered, measured
These numbers came out of Kalpita’s own hiring operation before Recruit was ever sold to anyone else.
Candidate engagement
70%
70% candidate engagement rate
Screening efficiency
45%
45% higher screening efficiency
Manual follow-ups
50%
50% fewer manual follow-ups
Time to close
30%
positions closed up to 30% faster
Data retention
Full history
full historical data retention enabling re-engagement of past candidates
Decisions
Analytics-driven
real-time, analytics-driven hiring decisions
Conclusion
The best product roadmaps start as someone’s real pain.
The best product roadmaps start as someone’s real pain. Kalpita Recruit was born from our own — built, measured, and proven internally before becoming the standalone AI-native ATS product enterprises and staffing agencies use today. Explore Kalpita Recruit →
FAQ
Frequently asked questions
See it live
We fixed our own hiring first — now it’s a product.
If your hiring lives in spreadsheets and email approvals, that is exactly the gap Recruit was built to close.