AI in HR strategy: An expert’s 5 pillars for successful implementation

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The artificial intelligence tools entering the enterprise aren’t just faster versions of the automation HR teams have grown accustomed to. Unlike the rule-based systems of the past, today’s AI in HR can analyze, learn and make nuanced decisions that were once the exclusive domain of human judgment.

Speaking in a recent HR Executive webinar, Akshara Naik Lopez, senior analyst at Forrester, said the shift from traditional HR systems to AI-enabled platforms represents more than an upgrade—these new tools are sparking a reimagining of how work gets done. She drew a critical distinction: “With automation, we generally mean that we are looking at executing predefined tasks without human input; with artificial intelligence, basically, there’s a simulation of human intelligence to make decisions or learn from data.”

This distinction is critical for HR leaders, according to Naik Lopez. She highlighted that while conventional automation handles routine tasks like sending interview invites, AI can analyze resumes, rank candidates and even predict job fit using historical hiring data—capabilities that give organizations a significant edge in talent management.

The transformation extends beyond individual tools to entire system architectures, and implementing these is no small feat. Naik Lopez advocated for unified platforms over siloed systems, emphasizing that “AI

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