What candidates actually say about AI-assisted screening, and where firms get it wrong The biggest concern from staffing leaders is straightforward: we're in the people business, and putting a bot between us and our candidates will cost us what makes us different. But staffing firms running AI-assisted interviews are seeing 84% of candidates rate the experience 4 out of 5 or higher. Meanwhile, 62% of candidates drop off when communication is inconsistent, and candidates are accepting offers from whoever talks to them first.

Every slow callback is a lost placement. This session looks at what the data actually shows and where the most common mistakes happen.

In this session, Aaron Wang, CEO of Alex AI, covers:

• What candidate satisfaction scores look like across firms using AI-assisted interviews, and what drives the numbers up or down.
• Where the most common implementation mistakes are, and how they show up in candidate drop-off rates.
• What candidates say they actually want from the screening process, and how that compares to what most firms assume.
• How to think about which parts of the candidate interaction benefit from automation and which ones don't.

Speaker:  

• Aaron Wang, CEO, Alex AI

NYSA Members: No Charge
Non-Members: $100 per person