Customer Story: April 2025

Voice AI for Candidate Management

Hyreo’s 24x7 Candidate Helpline for Enterprises, powered by Bolna

Hyreo powers candidate engagement for some of the world’s largest enterprises. They needed a way to manage high volumes of candidate interactions—especially during post-offer stages—without overloading their recruiter teams.

By deploying Bolna as an AI Relationship Manager, Hyreo now ensures timely follow-ups, real-time support for candidates, and proactive issue escalation, leading to improved candidate experience and reduced offer drop-offs.

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The Numbers


Monthly cumulative talk time
50 hours
Monthly call minutes growth rate
50.00%
Hourly peak parallel conversations
100
Voice AI call conversations
5000

THE PROBLEM

Scaling Candidate Support Without Burning Out Recruiters

Hyreo’s recruitment teams were spending excessive time on manual follow-ups—chasing updates on notice periods, resignations, and joining dates. There was no scalable way to handle high volumes of post-offer candidate queries, and human-led support didn’t scale with enterprise hiring demands. Worse, candidate drop-offs often came without warning, as there was no system to detect early signs of disengagement.


  • Inefficient candidate management

    Inefficient candidate management

    Endless repeated mails and calls to candidates to collect ever changing details regarding CTC, joining date etc.

  • No scaleable helpline for candidates

    No scaleable helpline for candidates

    Impossible to provide 24x7 helpline to discuss candidate queries and unforseen changes.

  • Risk of candidate churn

    Risk of candidate churn

    No early warning system for candidates being unsatisfied with offers and going cold / rejecting job

THE BOLNA INTERVENTION

How Bolna Drove Candidate Engagement with Enterprise Hiring at Scale

Hyreo deployed Bolnas Voice AI agents to handle post-offer communication with consistency, speed, and scale. Routine updates—like resignation status and notice periods—are now collected autonomously through a single AI-driven call. The always-on helpline supports candidate queries round-the-clock, while at-risk candidates are proactively identified and engaged before they drop off.


  • Seamless information collection

    Seamless information collection

    AI collects all relevant data points like resignation status, notice period etc with just one call, autonomously.

  • Always available candidate helpline

    Always available candidate helpline

    24x7 available call-line to resolve queries , discuss contract, solve concerns and redirect if required.

  • Proactive risk detection & escalation

    Proactive risk detection & escalation

    AI detects at-risk candidates identifies points of contention and immediately alerts the right POC.

LEARNINGS

Scalable Impact on Cost, Coverage & Candidate Confidence

Bolna enabled 100% call coverage, with over 90% of conversations capturing all required data points—eliminating manual follow-ups. The AI-led system reduced outreach costs by 60% and cut recruiter effort by 80%. Importantly, it flagged and engaged 12% of at-risk candidates instantly, allowing timely escalations and reducing last-minute offer drop-offs.


  • 100% call coverage

    100% call coverage

    >90% conversations ended with 100% data point completion.

  • Massive Reduction in Costs and Time

    Massive Reduction in Costs and Time

    Reduced costs by 60% per candidate reach out,
    saved upto 80% of recruiter time.

  • Candidate query escalation

    Candidate query escalation

    12% of candidates were idnetified as at-risk candidates and had immediate conversations to discuss contract.

Live Recordings


  • Sakshi

    Sakshi

    • Candidate wanted to negotiate salary before accepting the offer

    • Agent escalated the query to the hiring manager

  • Prashant

    Prashant

    • Post-offer engagement with the candidate

    • Resignation letter was missing, candidate was asked to email it to the hiring manager

  • Neha

    Neha

    • Understood unavailability & that the candidate has not read the offer letter

    • Scheduled interview for preferred time slot