My team and I spent the week in Las Vegas at ServiceNow Knowledge 2026, and the biggest shift wasn’t just more AI, it was AI moving from advice to action. 

I wrote up a practical breakdown of what ServiceNow announced and the one question teams should be asking next: Do we trust the data enough for the system to act on it? 

When AI starts acting across workflows and systems, bad technology data stops being a reporting problem and starts becoming an execution problem. Governance can control and audit the workflow, but it does not fix stale, incomplete, or poorly normalized data. 

👉 You can read the blog here: AI Execution Depends on Trusted Technology Data: Takeaways from ServiceNow Knowledge 2026 

Would love to hear what stood out to you from Knowledge and where you’re seeing the biggest challenges as automation starts to scale.