It’s no longer enough simply to deflect customer support cases. Organizations must proactively understand customer intent and deliver frictionless, complete resolutions.
At ServiceNow, we’re already using AI-driven customer self-service tools. This is redefining what’s possible for our own customer support operations. We’re moving beyond focusing on cost reduction and instead creating transformative experiences that address complex issues and accelerate outcomes for our employees.
Historically, we measured self-service success by the number of cases avoided. While this approach reduced support costs and freed agents, it didn’t meet our customers’ expectations. Users want personalized, seamless experiences that resolve their issues entirely.
We’ve deployed the ServiceNow AI Platform to understand user intent, not just keywords. For example, when a user says, “My laptop is running slowly. How do I fix it?” AI search delivers actionable solutions, such as a one-click diagnostic, an upgrade request, or an order for additional memory. The result? Immediate resolution. No ticket, no waiting.
Customer Service Management orchestrates resolutions and tracks every step, from initial intent to final solution. AI Search uses machine learning and natural language processing to understand customer intent, delivering relevant, summarized information across the ServiceNow ecosystem.
At the same time, IT Service Management enables end-to-end resolutions, empowering AI chatbots to execute changes and initiate workflows instantly. This frees human agents to focus on proactive, high-value support.
We also follow user journeys across sessions, including unauthenticated visits, to get a complete picture of support attempts. Our self-service effectiveness rate, currently above 94%, measures the share of support attempts resolved without human intervention.
Additionally, we track customer engagement rate to assess whether users are returning for the same issue, which signals an incomplete resolution the first time around.
The early results speak for themselves. So far, we’ve achieved a 94.7% self-service effectiveness rate, surpassing our 91% target. And AI agents now automate 37% of support case workflows end to end.
Knowledge base article publishing, once a bottleneck, is now 88% faster. AI agents also support 72% of self-service interactions and have contributed to a threefold improvement in case deflection.
Across the board, these gains have resulted in $10.5 million in realized AI value. The ServiceNow AI Platform doesn’t just reduce tickets; it fundamentally changes what support can accomplish.
Find out how ServiceNow can help you put AI to work for self-service.
