This development cycle represents a major leap forward in making your AI recruiting team more responsive to how you actually hire. We're addressing the core feedback we've heard from customers: the need for greater flexibility in how AI recruiters work.
The key improvements focus on giving you control over AI behavior from guiding screening conversations to enabling your recruiters to learn from your feedback. Whether you need to ensure critical topics are always covered or you want that AI touch on a candidate you sourced on your own, these updates ensure your AI recruiting team works exactly how your business needs it to.
These enhancements help your AI recruiters become more valuable over time, understanding your unique requirements and delivering increasingly precise results as they work with your team.
Greater Control Over How Your AI Recruiter Operates
We're addressing the need for more customization and control over how your AI recruiting team operates across several key areas.
Guided Screening Conversations - You can now provide your AI recruiters with specific topics or questions to cover during dynamic screening, ensuring critical requirements are addressed while maintaining conversational flow. This solves the tension between wanting natural candidate conversations and needing consistency on essential qualifications.
Learning from your Feedback - Your AI recruiters will now actively learn from the feedback you provide on candidate evaluations, automatically improving their assessment approach for specific jobs. When you rate scores or provide feedback on candidate evaluations, the system will analyze these insights and update your AI recruiter's scoring criteria for that job. This creates a continuous improvement loop where your AI recruiting team becomes increasingly aligned with your specific hiring standards and preferences. Over time, your AI recruiters will feel less like static software and more like team members who understand what makes a great candidate for your organization.
AI Screening for Manual Sourcing - AI screening will now be available for candidates you source manually from our talent pool. When you add promising candidates to active jobs, you can activate the same dynamic screening process used for inbound applicants, creating consistent engagement across all candidate sources.
Permissions - Account administrators can lock specific AI behaviors across the entire organization, ensuring consistent compliance with organizational policies.
These improvements give you more influence over AI decision-making while reducing the manual work required to maintain consistency and quality in your recruiting process.
Enhanced Candidate Discovery Through Smarter Search
One consistent challenge in passive recruiting has been search precision, especially for manufacturing roles where job titles can vary significantly between companies. A maintenance technician might be listed as "Industrial Maintenance," "Equipment Technician," or "Manufacturing Maintenance Specialist" depending on the organization.
We're improving this by upgrading how AI recruiters generate search queries for passive outreach. Instead of relying solely on job titles and basic keywords, the system will analyze your complete job description, including specific equipment, certifications, and responsibilities, to create more targeted searches.
This is particularly helpful for detailed job titles that our previous search approach struggled with. When your job mentions specific machinery, shift requirements, or certification needs, the AI can now factor these elements into its candidate discovery process, potentially finding qualified professionals who weren't surfaced by simpler keyword matching.
Have questions or want a demo of what’s coming? Contact us to see the future of frontline recruiting in action.
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