The recruitment industry is undergoing a profound transformation, fueled by the advent of Agentic AI. Faced with increasing volumes of applications and limited bandwidth for thorough candidate assessment, companies are seeking smarter solutions.
In the latest episode of the Analytics Insight Podcast, the conversation shifts to how Agentic AI is not only enhancing hiring efficiency but also transforming the way recruiters interact with candidates. The episode features Rahul Veerwal, Founder and CEO of GETWORK, who shared deep insights into how his platform is helping organizations scale their talent acquisition strategies while maintaining human empathy and organizational alignment.
Founded in 2019, GETWORK is an Agentic AI-powered HR tech ecosystem built to simplify recruitment processes from sourcing to onboarding. With connections to over 1,500 colleges, universities, and talent agencies, and a candidate base exceeding 4 million, the platform acts as a comprehensive talent pipeline. “GETWORK is not just another tech tool,” Veerwal emphasized. “It’s a complete ecosystem for companies to depend on.”
At the heart of GETWORK is its digital recruiter—Anjali—an AI persona that acts like a consultant, managing everything from posting jobs and shortlisting candidates to scheduling interviews and verifying backgrounds. The platform’s Agentic AI capabilities ensure each hiring phase is streamlined without compromising quality.
Veerwal’s journey began in his final year of college, where he served as a training and placement coordinator. There, he facilitated the placement of 1,500+ students across 250 companies, witnessing firsthand how transformative job opportunities were for students and their families. “Jobs were more than offers; they were life-changing,” he recalled.
This experience, coupled with his roots in education—his grandfather was a university vice-chancellor and his father ran schools—led Veerwal to build GETWORK. From a small town in Uttar Pradesh, he envisioned a platform that would democratize access to jobs for millions of graduates beyond tier-one institutions. Today, with a 78-member team and $2 million in annual recurring revenue, GETWORK is well on its way to fulfilling that vision.
Recruitment workflows traditionally involve sourcing resumes from platforms, conducting verification calls, and repetitive screening, often resulting in the loss of candidate data during transitions. According to Veerwal, “The problem isn’t just volume—it’s the massive drop in data and lack of feedback at every step.”
To solve this, GETWORK introduced a funnel-based recruitment system specifically tailored for India’s unique challenges. This includes:
Resume Scoring: Automatically scoring 100,000 resumes against job descriptions
AI Calling: Low-cost automated calls to verify resume details
AI Assessments: Intelligent interview simulations for top-scoring candidates
The costs are impressively low—just ₹0.20 per resume screened and ₹99 per AI assessment, making it a cost-effective, scalable solution.
Despite heavy automation, Veerwal stressed that “You will never be able to take human out of human resource.” The real goal is not just finding qualified candidates, but those who align culturally and strategically with the company.
Anjali, GETWORK’s digital recruiter, illustrates this philosophy. It:
Breaks down job descriptions
Posts across its wide network
Sends targeted messages
Scores and verifies resumes
Presents the top 15 candidates for final review
What makes Anjali stand out is her continuous behind-the-scenes work. If a job pipeline goes cold, Anjali automatically reactivates the sourcing process and presents updated options, ensuring recruiters always have relevant candidates.
Agentic AI also raises concerns about bias and fairness—areas where GETWORK has taken proactive steps to address. “Our AI is trained on over 5 million job descriptions, 200,000 interview questions, and 4 million resumes,” Veerwal shared.
To maintain fairness and transparency:
Explainable AI: Every decision is backed by clear reasoning
Customizable Knowledge Bases: Companies can tailor AI behavior
Human-in-the-Loop Systems: Final decisions rest with human recruiters
This ensures AI is a helpful assistant, not a gatekeeper, and reinforces ethical hiring across the board.
Looking ahead, Veerwal predicts a landscape where every company employs multiple Agentic AI recruiters for different departments. “First-round interviews and screening will be fully AI-driven, saving billions globally,” he stated.
Over the next 3–5 years, recruiters will shift to become strategic partners, focusing on culture fit and long-term potential, while AI will handle volume and initial assessments. These specialized AI agents will collaborate across departments, enhancing compliance, improving candidate experiences, and pushing the boundaries of scalable hiring.
The conversation concluded with a powerful reflection: Agentic AI isn’t about replacing recruiters—it’s about empowering them. By handling repetitive tasks and maintaining data integrity, AI enables recruiters to focus on meaningful and strategic conversations.
As GETWORK continues to bridge the gap between human and machine intelligence, it is clear that the future of hiring lies in partnership, not replacement. With platforms like GETWORK leading the charge, recruitment is no longer a bottleneck—it’s a competitive advantage.
This podcast episode offered a compelling glimpse into how innovation, rooted in empathy and efficiency, is shaping the future of HR, one algorithm at a time.