See how agentic AI lowers support costs by resolving issues before tickets are created

 

For decades, IT leaders have paid more every time a ticket is opened — resolved or not.

Traditional ITSM platforms were built for a world where every password reset, access request, and VPN issue meant another ticket, another seat, and another line item on your renewal. The model rewards volume, not resolution — and it's why renewal costs have consistently outpaced IT budget growth year after year, compounding into a trap that's nearly impossible to exit within a legacy platform.

Agentic AI breaks that math. When an autonomous agent resolves the issue before a human ever sees it, the seat-based model stops making sense — and the economics of IT service delivery fundamentally shift.

On June 2, we're breaking down exactly how this transition works — with the data, the case studies, and a roadmap you can take back to your team.

Join our AI experts to explore:

  • The Hidden Bill: How seat-based pricing models keep costs climbing regardless of the value delivered — and how to calculate what your organization is actually overpaying 
  • The Agentic AI Advantage: How domain-specific AI agents deliver end-to-end auto-resolution, with customers achieving up to 80% resolution rates before a human is ever involved
  • Case Study Deep-Dive: Real organizations eliminating manual ticket work while preserving their existing tool ecosystem — no rip-and-replace required
  • The Exit Ramp: How to move from a ticket-creation model to zero-ticket operations without disrupting live service delivery

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