Why many AI in HR projects fail—and how Hitachi got it right

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Rather than solve HR complexity, many companies have chosen to live with it—accepting inefficiency as a cost of doing business. But in a labor market where success is defined by agility and a thirst for AI, that compromise is losing ground.

Because of this, Hitachi Digital chose a different path.

Before rolling out a new AI innovation, a single HR request at conglomerate Hitachi could span several platforms and require deep context. With tens of thousands of employees distributed across five of the org’s distinct companies within the Hitachi Digital structure, even simple requests became complex undertakings.

By deploying an AI HR companion named Skye, built by the universal AI employee platform Ema, the company has restructured how it delivers HR services while improving operational efficiency.

What is an AI in HR solution that works?

Supporting employees in this complex, global environment is a “massive undertaking,” explains Amee Desjourdy, CHRO at Hitachi Digital. The organization’s 20-plus systems of records, different cloud platforms and varying HR policies across business units created what Desjourdy calls “fragmentation,” making it incredibly difficult for human teams to maintain consistency while processing requests quickly. The average resolution time for an HR query was over five days.

Desjourdy

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