{"podcast":{"title":"AI HR Daily by OVI","slug":"ai-hr-daily-by-ovi-7799457","podcast_index_feed_id":7799457,"rss_url":"https://moyvabqxvlqzzkhyotju.supabase.co/functions/v1/podcast-rss","website_url":"https://www.aihrdaily.com","image_url":"https://moyvabqxvlqzzkhyotju.supabase.co/storage/v1/object/public/Logo/Blue%20White%20Modern%20Profile%20Picture%20LinkedIn%20Profile%20Picture.png","author":"Tim from OVI","episode_count":774,"summary":"What is Al HR Daily? Artificial intelligence in human resources encompasses technologies like machine learning, natural language processing, and predictive analytics applied to talent acquisition, employee engagement, performance management, and workforce planning. From Al-powered resume screening to automated video interviews, these tools help HR teams make faster, more objective hiring decisions. Topics We Cover Al recruitment tools, automated candidate screening, Al voice interviews, hiring bias reduction, EU Al Act compliance, predictive hiring analytics, talent intelligence platforms, Al job description generators, skills-based hiring, workforce planning Al, employee retention prediction, and Al ethics in employment","last_synced_at":"2026-09-12T02:20:32.972321+00:00","page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457"},"episode":{"title":"9 Companies That Rebuilt Recruiting From Scratch With AI","slug":"9-companies-that-rebuilt-recruiting-from-scratch-with-ai","published_at":"2026-09-09T04:23:19+00:00","page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457/9-companies-that-rebuilt-recruiting-from-scratch-with-ai","show_page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457","url":"https://www.aihrdaily.com/article/how-companies-rebuilding-recruiting-operations-ai-9-real-examples-operational-playbook","audio_url":"https://moyvabqxvlqzzkhyotju.supabase.co/storage/v1/object/public/podcast-audio/episodes/29b922ab-df2c-447f-8359-65fb80171eac.mp3","summary":"What does it actually look like when a company stops layering AI on top of old recruiting processes and rebuilds from the ground up? Today we're digging into nine real examples — from a warehousing firm that screened 10,000 candidates in one Q4 push, to a European e-commerce company that went from three hours of daily screening to under ten minutes. The gap between AI adoption and real business value is massive. Gartner found that 88% of HR leaders say their organizations haven't realized significant value from AI investments — and this episode breaks down exactly why, and what the companies that cracked it did differently. We cover four operational areas: sourcing and analytics, automated screening, scheduling and coordination, and post-interview documentation. Across all four, the pattern is the same — the winners didn't add AI tools to existing workflows. They dismantled the process and rebuilt it around AI. If you're still on the adoption side of that gap, this episode gives you the practical playbook: pick the function where your team bleeds the most unproductive hours, own it end to end with AI, and measure hours recovered — not features activated. Brought to you by OVI, the AI-native ATS built for exactly this kind of transformation.","meta_description":"What does it actually look like when a company stops layering AI on top of old recruiting processes and rebuilds from the ground up? Today we're digging i…","key_points":[],"chapters":[],"topics":[],"duration_seconds":null,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/ai-hr-daily-by-ovi-7799457/episodes/9-companies-that-rebuilt-recruiting-from-scratch-with-ai/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457/9-companies-that-rebuilt-recruiting-from-scratch-with-ai.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}