Scheduling 1,900 roles manually took days of back-and-forth. Conversational AI now books interviews instantly, syncing calendars.
A global software company with over 20,000 employees manages 1,900 open positions simultaneously, hiring for diverse roles ranging from account executives to AI product managers.
Manual scheduling logistics caused interview confirmations to take 2 to 4 days, pushing the total interview process to 8 to 10 days. The talent...
Workday's Interview scheduling is part of this use case:
Cloud platform for enterprise human resources, finance, and business planning.
Conversational AI assistant for recruiting, screening, and interview scheduling.
Related implementations across industries and use cases
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual scheduling delayed interviews by 7 days. An AI agent now screens and books candidates instantly, cutting the wait to 24 hours.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Manual scheduling and phone tag bottlenecked hourly hiring. Now, an AI text assistant instantly screens and books candidates 24/7.
Scheduling 1,900 roles manually took days of back-and-forth. Conversational AI now books interviews instantly, syncing calendars.
A global software company with over 20,000 employees manages 1,900 open positions simultaneously, hiring for diverse roles ranging from account executives to AI product managers.
Manual scheduling logistics caused interview confirmations to take 2 to 4 days, pushing the total interview process to 8 to 10 days. The talent...
Workday's Interview scheduling is part of this use case:
Cloud platform for enterprise human resources, finance, and business planning.
Conversational AI assistant for recruiting, screening, and interview scheduling.
Related implementations across industries and use cases
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual scheduling delayed interviews by 7 days. An AI agent now screens and books candidates instantly, cutting the wait to 24 hours.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Manual scheduling and phone tag bottlenecked hourly hiring. Now, an AI text assistant instantly screens and books candidates 24/7.