Intelegain Technologies (Internal) Case Study Hero Background

How Intelegain Cut Traditional Hiring Cycles by 60% with the TalentHub AI Voice & Screening Engine

LocationGlobal

SolutionTalentHub AI Recruitment & GPT Realtime Voice Screening

60%

Reduction in Traditional Hiring Cycle

80%

Initial Screens Conducted by AI Voice

4.2x

Faster Candidate Pipeline Velocity

At-a-Glance

Intelegain Technologies — global software engineering and enterprise consulting firm with high-velocity hiring demands.

Case Study

CHALLENGE:

High volume technical recruitment across software engineering, cloud, and Dynamics 365 roles caused massive administrative overhead. Recruiters spent 65% of their working hours on repetitive initial screening calls, resume filtering, and scheduling.

SOLUTION:

Intelegain engineered TalentHub—an end-to-end AI recruitment engine combining semantic profile evaluation, automated candidate ranking, and an autonomous conversational AI voice agent powered by GPT Realtime and Plivo.

RESULTS:

Overall requisition-to-offer cycle length collapsed by 60% rapidly, 80% of first-round screenings were conducted autonomously, and candidate drop-off reduced by 45%.

The Challenge: Overcoming the Manual Bottleneck in Enterprise Tech Hiring

In a competitive technology consulting ecosystem, the speed and precision of talent acquisition directly impact client delivery. Intelegain’s recruitment team evaluates thousands of applications monthly across complex specializations including Microsoft Dynamics 365, Azure Cloud Architecture, React, and Full-Stack Engineering.

However, conventional recruitment workflows were heavily bottlenecked. Talent acquisition specialists spent the majority of their workweek conducting repetitive 15-to-20 minute initial screening calls—verifying notice periods, compensation expectations, relocation flexibility, and foundational tech competencies.

Scheduling delays, time-zone conflicts, and manual spreadsheet logging caused candidate pipelines to stall. Top-tier candidates frequently accepted competing offers before technical interview panels could even be convened. Intelegain needed a solution that would accelerate pre-screening without sacrificing candidate experience or human evaluation rigor.

Recruiters trapped in administrative screening phone calls, leaving minimal time for candidate nurture and headhunting.

Delayed first touchpoints (3–5 days after application submission) leading to significant candidate disengagement.

Inconsistent initial screening data captured across different recruiters, complicating panel evaluation.

Manual interview coordination across multiple managers and geographic locations creating scheduling deadlocks.

Why Intelegain Was Chosen

Intelegain adopted an internal dogfooding approach, engineering TalentHub to solve its own operational friction before packaging the solution for enterprise clients.

Autonomous Voice AI Pioneers:

Implementing OpenAI GPT Realtime audio capabilities over Plivo telephony for ultra-low latency, natural conversational phone screening.

Multi-Dimensional Candidate Ranking:

Utilizing Microsoft Foundry and vector embeddings to match applicant competencies against actual job performance criteria rather than simple keyword matching.

Human-Centric Design:

Ensuring the AI acts as an intelligence multiplier—ranking, summarizing, and presenting rich audio dossiers so recruiters make faster, better hiring decisions.

Seamless ATS & Calendar Integration:

Automating scheduling and candidate notifications directly into interviewer calendars without human back-and-forth.

Implementation: The Intelegain Approach

TalentHub was designed, developed, and deployed in-house through three structured milestones:

Phase 1: Semantic Parsing & Talent Database Architecture

We built a centralized talent database with automated resume parsing. Resumes and portfolios are semantically analyzed against role requisitions using custom embeddings, scoring applicants on technical stack depth, project complexity, and relevant tenure.

Phase 2: Conversational Voice Screening with GPT Realtime & Plivo

We deployed an autonomous voice agent. Qualified applicants receive an automated, interactive voice call that naturally greets them, asks targeted screening questions regarding technical experience and logistics, handles interruptions gracefully, and transcribes the interaction in real time.

Phase 3: Candidate Scoring Dossier & Automated Scheduling

Following each call, TalentHub compiles an executive briefing dossier: competency scores, verified logistics, and candidate sentiment. High-ranking candidates are instantly presented with interview panel booking links, synchronizing directly into Outlook and Teams.

PythonMicrosoft FoundryGPT Realtime APIPlivo Voice APIAzure AI ServicesMicrosoft TeamsPostgreSQL

Measurable Results & Business Impact

60%

Reduction in traditional hiring cycle length (45 days down to 18 days)

80%

First-round screens completed autonomously by AI voice agents

4.2x

Faster candidate pipeline velocity from application to technical round

45%

Decrease in top-tier candidate drop-off during screening stages

TalentHub completely redefined Intelegain’s hiring operations. Candidates now experience immediate, professional touchpoints within hours of applying, even on weekends or across international time zones. Recruiters receive comprehensive voice dossiers with candidate scores, allowing them to skip administrative screening calls and focus on high-touch closing and candidate engagement.