Less Screening Time
Your Hiring Velocity
Lower Candidate Drop-Offs
Shorter Time-to-Offer
Queries Auto-Handled
Agents don’t wait for commands, they trigger actions based on events, like exits or pipeline gaps.
With every interaction, agents get smarter, adapting to roles, recruiter preferences, and hiring outcomes.
Agents pull data, call APIs, integrate calendars, and engage candidates, all without human hand-holding.
Whether you’re hiring 10 or 10,000, it adjusts without needing extra hands.
Agentic AI reduces manual workload by automating repetitive tasks such as candidate shortlisting, communication follow-ups, and interview coordination. Recruiters spend more time on strategic decisions like candidate engagement and less time on administrative work.
Traditional automation follows fixed workflows. Agentic AI, however, uses reasoning and contextual awareness to make independent decisions — adapting to recruiter behavior, historical outcomes, and candidate engagement data.
By standardizing candidate evaluations and removing human subjectivity in screening, the AI ensures fair and consistent assessments. It can also flag potential bias patterns in recruiter behavior for corrective action.
AI Co-Recruiter acts as a co-pilot — managing repetitive work, surfacing insights, and enabling recruiters to focus on human interaction, negotiation, and relationship-building — the core of great hiring
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Gartner's voice of customer report 2022-2024
Product Stack
Enterprises
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Gartner's voice of customer report 2022-2024
Enterprises
Countries
Users
Gartner's voice of customer report 2022-2024
Enterprises
Countries
Users
Gartner's voice of customer report 2022-2024
Enterprises
Countries
Users
Gartner's voice of customer report 2022-2024
Enterprises
Countries
Users
Gartner's voice of customer report 2022-2024
Enterprises
Countries
Users
Customers' Choice in 2023 Gartner Peer Insights 'Voice of the Customer' Report