Enterprises often struggle to move AI from isolated experiments to operational reality. A recent Cisco AI Readiness Index found only one in three organizations has a formal plan for employee AI adoption. Cisco itself took a different path, focusing on three pillars: trusted enterprise data, a single secure platform, and redesigned workflows. The result? Over 100,000 employees using AI daily, with 90% adoption.

At the core is Circuit, a multi-model, governed platform built to defeat shadow AI. Rather than banning consumer tools, Cisco offered a secure alternative that connects directly to enterprise data. Data engineers ensured that AI models could access information across applications, warehouses, and legacy systems through a unified semantic layer. Circuit now supports prompts, projects, custom connectors, and autonomous agents—all without switching tools. The platform’s design principles—secure, compelling, extensible—made adoption organic, not mandated.

Beyond the platform, Cisco redesigned work itself. Over 21,000 engineers use AI coding tools weekly, saving six hours per week on average; broader employees save five. These efficiencies come from reducing time spent searching data and navigating systems. The next frontier is agentic AI—where models not only answer questions but complete tasks. For that, Cisco emphasizes data trust, security, and governance. The lesson: the winners in AI won’t be first adopters, but those who operationalize it best.

Source: Cisco