AI voice brokers will not be new to staffing, however Curately’s Maya represents a generational leap. In contrast to prior voice brokers constructed by tech firms that retrofit generic AI brokers for staffing wants, Maya was purpose-built by staffing specialists with over 25 years of contingent labor expertise. She was designed to be applied in real-world recruiting workflows and replicate the human conduct of a recruiter within the prescreening course of. After adopting Maya, one staffing group reported: “We’ve been very pleased with our outcomes to this point, and we’re at the moment changing 45% of our software chilly calls. This quantity has exceeded our expectation. The staff over at Curately are very simple to work with, and are attentive to our questions. I’ve led plenty of integrations in my 10 years and this was the smoothest one to this point.”
Developed particularly to suit the nuances of staffing organizations, Maya supplies a degree of precision, reliability, and candidate expertise that present instruments can’t match.
“Maya represents a brand new customary for a way expertise acquisition groups have interaction with candidates and handle their pipelines,” stated Manish Karani, Founder and CEO of Curately.ai. “By verifying candidate responses in actual time, adapting to nuances in dialog, and syncing immediately with a company’s ATS, Maya frees recruiters to give attention to the features of their position which can be strategic somewhat than transactional. On the identical time, candidates obtain intentional, human-like engagements so that they by no means really feel misplaced or ignored.”
Precision-Pushed Dialog
Throughout candidate interactions, Maya evaluates responses for accuracy and relevance: if a candidate claims “100 years of expertise” or asserts an unimaginable ability set, Maya flags the inconsistency, prompts for clarification, and collects exact data earlier than continuing. This real-time validation reduces reliance on handbook screening and safeguards towards inaccurate information getting into the recruiting funnel.
Pure, Nuanced Engagement
Powered by agentic AI, Maya is constructed to deal with conversational complexity. Lengthy pauses, ambiguous solutions, and background noise usually derail human-driven conversations or older, much less superior voice methods, however Maya manages them effortlessly. She maintains a gentle circulation, retains candidates engaged, and ensures the interplay stays crisp and clear whereas preserving a company’s employer model tone, whether or not informal and conversational or formal {and professional}.
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ATS Integration
Maya integrates with Applicant Monitoring Techniques (ATS) and different HR instruments, enabling seamless scheduling, information seize, and candidate administration, guaranteeing minimal disruption to present processes. Which means no duplicate information entry, no handbook burden on recruiters, and no lag in hiring pipeline visibility. Recruiters stay aligned with candidate progress whereas supporting a high-volume throughput with out rising administrative load.
Uninterrupted Attain, Anytime
With Maya working 24/7 throughout all time zones and interview-availability home windows, firms remove bottlenecks in candidate outreach and follow-up. If a candidate must interrupt an interview session or proceed it at a later time, Maya can reschedule on the fly, choose up the place the dialog left off, and hold momentum intact, guaranteeing no candidate falls by means of the cracks.
Model-Aligned Tone, Excessive-Contact Expertise
Curately.ai understands that tone issues. Maya adapts her voice to every group’s employer model messaging, whether or not heat and colloquial or polished and company. Each touchpoint is designed to really feel intentional, private, and aligned with model id. That degree of candidate expertise fosters stronger pipelines, greater completion charges, and higher hiring outcomes.
Measurable Recruiting Impression
Maya’s mixture of real-time accuracy verification, pure engagement, and automatic information circulation means fewer invalid candidate responses getting into pipelines; fewer candidates misplaced attributable to lag or disengagement; and fewer hours spent by recruiters on follow-up and information cleanup. That provides as much as decrease cost-per-hire, quicker time-to-fill, and improved high quality of rent.
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