To Build or To Buy an AI Recruiter?

Building an AI recruiter is easier than it looks at first and more complex than it appears over time. In this session, we share a practical playbook based on what we learned building and running the world’s most advanced AI recruiter, including the decisions, tradeoffs, and systems teams need to think through to make it work.

The playbook covers:

• How to design interview guides that work across roles and seniority while staying reviewable
• How intelligent follow-up questions are generated, constrained, and governed
• How bias is managed through structured prompts, training, and human oversight
• What to plan for around consent, scheduling, reminders, and opt-outs
• How interview outputs are reviewed, explained, and challenged by teams
• What changes when supporting multiple languages, channels, and ATS integrations