Don’t Wait for the ‘Perfect’ AI Strategy: Embrace Experimentation, Workday CIO Urges
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Meta Description: Workday CIO Rani Johnson argues that CIOs shouldn’t delay AI adoption while seeking a flawless strategy, emphasizing the importance of access, trust, and hands-on learning.
The drumbeat for artificial intelligence is deafening. Surrounded by hype, fear, and intense pressure, enterprise technology leaders face a murky path fraught with risk.But the greatest risk isn’t getting AI implementation wrong; it’s waiting for a “perfect” strategy while the world races ahead.Real impact doesn’t begin with flawless designs, but with access, trust, and a commitment to learning by doing.
Rani Johnson, CIO of Workday, draws on decades of experience to illustrate this point. Her journey with technology, even predating her corporate career, has consistently demonstrated that innovation is rarely met with immediate acceptance. She recalls early experiments with expert systems and a venture designed to help people choose outfits, an idea initially dismissed by investors who doubted the viability of online clothing retail. “New technologies are frequently enough met with resistance – which, in hindsight, is usually shortsighted,” Johnson notes.
This pattern continued during her time in state and local government, where a cautious approach often led to missed opportunities. “When we wait too long to understand and adopt new technologies,we risk being left behind,” she explains,drawing parallels to the initial skepticism surrounding online shopping and Software-as-a-Service (SaaS). “we’ve seen this movie before. It’s time to embrace the immense possibilities of AI, and not let
fear dictate our pace.”
Workday’s AI journey began with “foundational AI”-simple applications like bright search and document processing. The initial focus was on demonstrating swift wins and building trust. Crucially, the team prioritized sharing real-life examples of how AI improved workflows. This peer-to-peer approach proved instrumental in building trust and shifting the perception of AI from a top-down mandate to a shared prospect.
As Workday progressed to “functional AI”-more complex applications tailored to specific business areas-collaboration and a willingness to learn from missteps became even more critical.
Redefining ROI in an Experimental World
This journey also necessitated a shift in how AI investments were evaluated. An AI Advisory Council was established to guide decision-making, and the team quickly realized that customary ROI metrics were insufficient for the dynamic nature of AI.
“We had to adopt a more open mindset, recognizing that even projects without an obvious, immediate financial return can yield incredible value through learning, speed, and the uncovering of new possibilities,” Johnson explains. One team, with limited resources, developed a valuable tool for earnings reports in just weeks, demonstrating the potential for rapid development and informing future planning.”Mistakes, especially small-scale ones, are not just acceptable; they are essential for rapid learning.” Waiting for AI technologies to fully mature, she argues, means missing opportunities to inject new energy and innovation.
A Call to Action: foster a Culture of Learning
The key to successful AI adoption is fostering a culture of learning and experimentation. Employees at all levels-developers, executives, and individual contributors-must have the opportunity to engage with AI tools and understand how they work. Some companies are even having employees train AI models and learn prompt engineering, a method Johnson believes removes the mystery surrounding AI and demonstrates its true functionality. Workday is encouraging its teams to write prompts and train chatbots, aiming for AI to become a true copilot in their daily tasks.
Johnson likens this process to an athlete consistently refining their skills. “That’s the feeling we want our employees to have with AI – a tool that makes their work faster,better and,ultimately,more meaningful and joyful.” Even her own mother’s seamless integration of a voice assistant into her daily life serves as a reminder of technology’s potential when it’s genuinely helpful.
So, to my fellow CIOs and technology leaders: Don’t let fear or the quest for perfection paralyze you. start by building awareness. Make AI tools accessible. Empower your champions. Redefine your investment criteria to value learning and iteration. Most importantly, foster a culture where experimentation is encouraged and employees feel empowered to explore. The future of work is intelligent, and it’s our obligation – and our opportunity – to lead the way in shaping it.
