Organizations Integrate Artificial Intelligence Into Human Resources Strategy and Workforce Planning

Talkdesk’s Dr. Shauna Geraghty said she joined the company as its first U.S. employee in 2012, when it had only a few employees, and has remained through more than a decade of growth and reinvention.
Geraghty described how Talkdesk’s early lack of formal playbooks required employees to move into whatever the business needed; although she was pursuing a doctorate in clinical psychology and had no marketing background, she researched the industry and wrote the company’s first website copy.
Phenom’s AI Day agenda will examine how enterprises convert both structured and unstructured inputs—including a hiring manager’s own words—into models that can be applied across roles, functions and geographies.
The event will include a demonstration of agents managing intake, sourcing and outreach, as well as sessions on calibrating hiring using real-time feedback and writing job descriptions that can withstand compliance review.
Companies are rapidly embedding AI into hiring, workforce planning and employee development. Talkdesk is rethinking how human workers and AI collaborate, while Phenom is moving AI hiring tools from experimental pilots into production systems that can screen thousands of applicants at scale.
The shift raises real challenges: validating skills across large applicant pools, catching deepfake candidates, staying compliant with labor laws, and writing job descriptions that pass legal review. HR leaders must now balance automation with human judgment in ways that didn't exist a year ago.
Talkdesk's Chief People Officer Dr. Shauna Geraghty joined the company as its first U.S. employee in 2012 when it had just a handful of staff. Over thirteen years, she watched the company reinvent itself repeatedly, stepping into roles nobody planned for—including marketing work despite studying for a doctorate in clinical psychology.
Now Talkdesk is rethinking employee development, how teams adopt new tech, and where humans add value alongside AI. Geraghty's playbook has shifted from "do whatever the business needs" to "understand how AI changes what humans need to learn and contribute."
Phenom's AI Day 2026 focuses on one critical challenge: moving AI hiring tools from experimental test phases into reliable production systems. This means building AI agents that can source candidates, screen applications, conduct interviews and forecast workforce needs at enterprise scale.
The event will showcase how hiring managers' own words—unstructured feedback, comments, preferences—can be converted into AI models that work consistently across different roles, departments and locations. Agents will manage intake, sourcing and outreach with real-time feedback loops to keep hiring fair and accurate.
As AI takes over screening and interviewing, Phenom will address a growing threat: deepfakes and synthetic applicants who slip past automated systems. Companies must validate candidate skills, detect fraud and ensure their hiring workflows survive legal scrutiny.
Sessions will cover writing job descriptions that withstand compliance review, calibrating hiring decisions with real-time feedback, and scaling AI safely across thousands of applications. The goal is automation that actually reduces hiring bias and legal risk—not creates it.
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