He suggests a six-step framework to successfully drive AI adoption at scale within a workforce:

Define: Begin by clearly defining the problem you want to solve and assess whether AI is the right fit for that problem. "Implementing AI without a clear purpose will not lead to successful deployment at scale," he says.
Discover: The AI landscape is vast. Edkie says HR must experiment with different AI solutions to find the best fit for specific problems and organizational needs.
Upskill: Provide comprehensive training to employees to ensure they can effectively adopt and utilize the chosen AI solution. "Empowering your workforce is key to successful AI integration," he notes.
Seed before scale: In Edkie's view, employers should start with small-scale experiments to test the AI solution in a controlled environment, as these initial trials will help refine processes and increase acceptance before a broader rollout to the full workforce.
Offer clear governance: Edkie advises employers to establish clear governance frameworks, including usage policies, privacy protocols and regulatory compliance to ensure responsible and ethical AI deployment.
Measure: To scale AI successfully, employers must demonstrate tangible results, which means measuring the impact of the AI solution against the initially defined challenge. Showing clear, positive outcomes will build confidence and support for scaling, Edkie explains.

"Our customers have observed substantial benefits from implementing AI solutions, especially in HR and L&D," Edkie says. "When done right within HR and a workforce in general, AI solutions can greatly enhance employee comfort levels."

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