ServiceNow's John Phillips Urges Shift from AI Adoption Metrics to Work Outcomes

As organizations grapple with the rapid integration of artificial intelligence into their workflows, a leading voice in the employee experience space is challenging the conventional metrics used to gauge AI success. John Phillips, Group Vice President of Employee Experience at ServiceNow, recently joined the 'You Should Know' podcast to argue that the current focus on AI adoption rates is misguided. Instead, he contends, businesses should measure the tangible outcomes AI delivers to jobs and the broader organization.

Phillips, who leads ServiceNow's employee workflows business, painted a stark picture of the current AI landscape, describing it as a 'train wreck of productivity.' He attributes this chaos to the proliferation of AI agents embedded in every system of record, each operating in isolation. 'Every system of record is now got their little AI agent and it's creating chaos for these practitioners,' Phillips told hosts Ryan Leary and William Tincup. He noted that customers often arrive with eight purchased AI tools plus one they built themselves, none of which communicate with each other. This fragmentation, he argues, undermines the very efficiency gains AI promises.

The solution, Phillips suggests, lies not in abandoning these tools but in layering an 'agentic companion' across existing systems—a concept ServiceNow is championing. This approach, which he describes as an AI control tower, would stitch together multiple large language models and hundreds of systems to create a unified, intelligent workflow. By doing so, organizations can move beyond the siloed AI implementations that currently dominate and toward a more cohesive, outcome-driven strategy.

Central to Phillips' argument is a shift in measurement philosophy. 'We're going to quickly stop talking about AI adoption as tool usage, and we're going to start looking at the outcomes and jobs to be done,' he predicted. This perspective aligns with a growing sentiment among HR leaders who are under pressure to demonstrate AI's return on investment. Instead of tracking how often employees click an AI button, Phillips advocates for assessing whether jobs are completed faster, with less friction, and with better results for both the employee and the business.

The conversation also delved into the employee value exchange—the reciprocal relationship between what employees give and what they receive. Phillips highlighted the paradox of AI tools that claim to save time, noting the disconnect when those hours don't materialize as expected. He emphasized the importance of discretionary effort over traditional engagement surveys, a point that resonated with Tincup, who has long critiqued such surveys as inadequate measures of true engagement.

Phillips, whose worldview was shaped by time spent in refugee camps, brought a human-centric perspective to the discussion. 'Skills and talent is universal and opportunity is not,' he remarked, underscoring the need for AI to democratize access to opportunities rather than exacerbate existing inequalities. He also touched on the post-COVID collapse of work boundaries, burnout, and the internal dialogue of 'am I enough,' framing high performance as a balance of 'extreme focus and extreme recovery.'

For Texas businesses and beyond, the implications are significant. As companies across the state and nation invest heavily in AI, the ability to measure its true impact on work outcomes will determine competitive advantage. By shifting focus from adoption metrics to results, organizations can better align their AI strategies with business goals and employee well-being. The 'You Should Know' podcast, part of the WRKdefined Podcast Network based in Arlington, Texas, continues to provide a platform for such critical conversations, reaching over 3.9 million verified monthly listeners. The full episode with John Phillips is available now wherever podcasts are heard.