Key takeaways
As such, it demands the same controls, trust, and rigor as core IT infrastructure. To ward off the unchecked growth of shadow AI and AI sprawl, keep the following governance, security, and compliance best practices in mind:
Your AI governance problem is already here — the time to deal with it is now. Shadow AI is the new shadow IT. It’s imperative to establish a centralized AI inventory that delivers visibility into what agents, models, and prompts are running; who owns them; and what data they touch. That visibility is the prerequisite for everything else.
Your data foundation determines your AI ceiling. Most enterprises have an access problem and a quality problem. Buying more AI capability on top of ungoverned, siloed data doesn't close the gap — it exposes it faster. Audit where your highest-value workflows break down to determine the right fix. Is it because agents can't reach the data (the access problem) or because the data they reach can't be trusted (the data quality issue)? There are different owners of and fixes to both challenges, and CIOs must be on top of the differences.
The front door and the execution layer must be unified. Conversational AI that can't complete work is simply a better search engine. Workflow automation without a unified employee experience is invisible to most of the workforce. Platforms that close that loop — connecting natural language requests to governed, cross-system execution — are where measurable ROI lives. Evaluate vendors on whether they own both layers, not just one.
With AI Control Tower and EmployeeWorks as the foundation, ServiceNow helps enterprises capitalize on the next wave of AI innovation, delivering a single AI front door and governance structure primed to turn AI chaos into AI action and strategic innovation at scale.
www.servicenow.com/products/employeeworks.html.
