Most AI deployed in customer support today stops at deflection, routing customers to an FAQ and hoping the issue goes away. Real agentic AI does something fundamentally different: it resolves routine cases autonomously, end-to-end, and when a case truly needs a human, it equips that agent with the context, summaries, and guidance to resolve it faster. The result is a support model where every case, whether autonomous or human-assisted, moves toward resolution faster than before.

This session is a practical introduction to agentic AI for customer support: what it is, how it differs from the chatbots most teams have already tried, and how autonomous resolution and intelligent agent assist work together as a complete support strategy.

We'll cover:

  • AI maturity model: understanding where your support organization sits, from manual to assisted to autonomous
  • Real-world use cases: how leading support teams are applying agentic AI to everyday support cases
  • Platform evaluation: integration depth, governance, audit trails, and analytics
  • Key metrics: resolution rate, escalation rate, and cost per resolution
  • Common pitfalls: the risks that derail AI deployments

Whether you're just exploring AI or already deployed tools that haven't delivered, this session offers a clear framework for evaluating and advancing your support organization's AI maturity.

Asad Bahou

VP, Global Premium Support

Automation Anywhere

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