In this blog, we’ll discuss how to meet users where they are with secure, governed AI agents.

With a natural language interface, SQL expertise is not a prerequisite to generating business intelligence and technical prowess is no longer a blocker to automation. Instead, workers across the enterprise are increasingly able to deploy AI in unique, business-critical ways without advanced knowledge.

But to discover the blockbuster use cases, they need the freedom to safely experiment — and an understanding of how to wield new AI tools to deliver impact. There’s a gap between excitement and enablement.

Secure platforms help bridge the divide by giving employees the ability to safely test AI agents in many different scenarios. Without the right guardrails, companies may be forced to restrict employee usage, slowing down AI adoption and dampening the impact. Despite the benefits, less than half of companies have a formal governance framework in place for autonomous workloads, according to the Economist Enterprise survey. That isn’t tenable, and companies will eventually need to close these oversight gaps or face the consequences.