Trusted Data: The Real Foundation of ServiceNow’s AI Experience

You'll have have seen the latest announcement from ServiceNow…. the new AI Experience, designed to empower every employee with faster answers, assistance, and automation, built on a foundation of trusted, enterprise-grade data.

"Trusted, enterprise-grade data"… that's key here in my mind.

Everyone’s excited about AI, but the truth is: you don’t get faster answers, better assistance, or meaningful automation unless your data is clean, structured, and reliable.

That’s the difference between a chatbot that frustrates and an AI assistant that feels like a superpower.

For ServiceNow customers, this isn’t just about the technology. It’s about preparation:

Clean data — making sure records across IT, HR, and business functions are accurate and consistent

Structured data — aligning formats, semantics, and workflows so AI understands context

Trusted data — governed, compliant, and auditable so it’s safe to act on

This is where the role of a strong partner becomes critical. A partner who knows how to connect systems, normalise data, and build governance models is the one who unlocks the promise of ServiceNow AI. Without that, you’re building on sand.

So while the AI Experience announcement shows where the platform is headed, the message underneath is clear: AI success starts with your data. And the right partner ensures that foundation is strong enough to scale.