ServiceNow's Internal AI Strategy: Building Confidence Before Going Public

ServiceNow, the enterprise software company, is diving deep into the world of artificial intelligence. It’s got a unique approach: test internally before unleashing tools on customers. This strategy has proven fruitful, with the company rolling out over 240 AI use cases by December 2025.

Inside-Out Development

When Chris Bedi took the reins as chief digital information officer in 2015, ServiceNow's AI ambitions were just seeds. Fast forward to 2023, and the company was piloting AI applications internally, focusing on automating tedious employee tasks. This shift wasn't just about efficiency. it was about laying the groundwork for future customer-facing AI products.

In a 2024 leadership shuffle, Bedi became the chief customer officer, and Kellie Romack, who joined ServiceNow in 2022, stepped in as CDIO. Under her guidance, the company continued to focus on internal development. "We're servicing the company and working on ourselves first," Romack shared. And it’s working.

Building Trust Through Internal Testing

Romack’s team has developed several tools, like AI Control Tower, aimed at governance and efficiency. These tools help track AI use cases and promote employee adoption. The idea is simple yet powerful: learn internally, then scale externally. But why should anyone care about ServiceNow’s internal-first approach?

For one, it means they’re not rushing to market with untested products. They’re building confidence and ensuring quality. It’s a lesson in patience and precision that many tech companies might overlook in the race to be first. Who wouldn’t want a tool that’s been tested and refined before it lands in their hands?

From Internal Success to Customer Tools

By the end of 2025, nearly 3,000 customers were using ServiceNow's AI tools. One standout success was the internal deployment of generative AI on the IT service desk, leading to the 2026 launch of Autonomous Workforce. This tool handles common IT issues without human intervention. It’s a clear example of how internal testing informs external success.

However, Romack admits the journey wasn’t always smooth. Early drafts of customer support summaries missed the mark, requiring adjustments based on employee feedback. This iterative process is critical. "We’re talking within 24 to 48 hours that we’re looking at it," Romack said, emphasizing the speed and agility of their feedback loop.

But there's a broader question here. Can internal successes always translate to customer environments, which have different security and training protocols? That’s the real challenge, as noted by McKinsey’s Kate Smaje. The value isn't in experimentation alone but in turning those insights into reliable, scalable systems.

Ultimately, ServiceNow's approach isn’t just about innovation. it’s about responsibility and trust. It's a model worth watching as more companies ities of AI adoption.