Atrium Hospitality

Bryan Drackett

Claims Intelligence Advisor

Reimagining Talent Acquisition Through AI and Automation

My focus on AI and automation started with a simple reality: the math in high-volume hiring no longer worked. In hospitality, roles open and close quickly, candidate expectations are rising, and teams are already stretched; asking recruiters and hiring managers to “work harder” was not a sustainable strategy. For example, at my company, we receive up to 15,000 applications per month across 300 openings. We only ever interview 3% of those due to time availability. I saw AI and automation as a way to give every candidate a fair shot at being more than just a resume. With a redesign of the work itself—removing repetitive, manual steps so humans could spend more time on judgment, relationships, and coaching, while giving every candidate their opportunity to shine.

Keeping Automation Tied to Business Outcomes

The starting point is not the technology; it’s the bottleneck. I encourage HR leaders to begin by mapping their process and asking three questions: Where are candidates getting stuck? Where are managers frustrated? And where is the team spending time that doesn’t require human creativity or judgment?

From there, rank potential use cases against three or four core metrics—often time-to-fill, quality of hire, early turnover, and candidate satisfaction—and prioritize the use cases that clearly move at least one of those needles. For example, if you consistently lose candidates between the application and the first interview, automating screening and scheduling will likely have a greater impact than a brand-new assessment. This discipline keeps AI and automation from becoming side projects and ties them directly to business outcomes.

Where Automation Creates Value and Humans Create Trust

Automation delivers the most value in work that is highvolume, rules-based, and repeatable. In talent acquisition, this often includes initial screening against basic criteria, managing interview logistics, sending reminders, collecting documents, and providing status updates to candidates. These are exactly the tasks that drain recruiter energy, create delays, and frustrate candidates when they fall through the cracks.

"I saw AI and automation as a way to give every candidate a fair shot at being more than just a resume. With a redesign of the work itself—removing repetitive, manual steps so humans could spend more time on judgment, relationships, and coaching, while giving every candidate their opportunity to shine."

Human judgment, on the other hand, is still essential in areas such as selecting the final slate, assessing cultural contributions, navigating trade-offs with hiring managers, and having honest conversations with candidates about career paths and expectations. I think of automation as the engine that keeps everything moving, while humans handle the moments that truly shape trust, commitment, and long-term success.

Driving Adoption Across HR Teams and Leadership

The first challenge is mindset. Many HR and TA professionals worry that automation will make their work less human or less valuable, even though it can actually free them up for more strategic, relationship-driven work. Hiring managers are often skeptical too, questioning whether AI will truly help or simply add another system to navigate—especially as they see an influx of AI-generated applications that look polished but are harder to assess quickly.

Candidates create a third challenge: misunderstanding and distrust. Some assume a “black box” algorithm is making arbitrary decisions, while others overestimate how much of the process is automated, which can erode confidence and perceived fairness.

Three responses help: transparency, co-design, and quick wins. Transparency means explaining in plain language where automation is used and where humans still decide. Co-design involves recruiters and hiring managers in shaping workflows so they solve real problems, not just theoretical ones. And quick wins—pilots that reduce time-to-fill, eliminate repetitive tasks, or improve candidate response times—build trust and momentum across all stakeholders.

Scaling AI Responsibly Without Losing the Human Experience  

Fairness and transparency need to be designed in from the start, not bolted on at the end. That includes regularly auditing automated steps for potential adverse impact, ensuring that the screening criteria are job-related, and being clear with candidates when technology is part of the process. Research shows candidates can perceive AI as fairer when it is used consistently and objectively, but only if they trust the process and understand how it works.

For candidate experience, predictability and communication matter more than perfection. When AI helps provide faster responses, clearer next steps, and fewer “black holes,” candidates often report a better overall experience—even if they are not ultimately selected. My advice to HR leaders is to start small, stay anchored in your values and metrics, and treat this as an ongoing practice rather than a one-time implementation. The organizations that will win are the ones that combine smart automation with deeply human leadership.​