What the agent can do
List the permitted actions, data sources and authentication prerequisites for each customer intent.
Short answer
Voice AI lets customers speak naturally with an AI system that can understand the request, respond in speech, access approved information and take defined actions. Enterprise-grade Voice AI differs from a simple IVR because it can handle open language, context and multi-step workflows while escalating when confidence or policy requires a person.
Core components
Speech recognition captures the caller, language models interpret intent and reason over the request, tools connect to enterprise systems, text-to-speech generates the response and orchestration governs the workflow.
Best early use cases
High-volume, bounded intents such as status, scheduling, basic account service, qualification, reminders and FAQs are often easier to validate than highly sensitive or exception-heavy conversations.
What to measure
Measure task completion, containment, transfer quality, latency, customer satisfaction, repeat contact, error rates and the business outcome, not just whether the conversation sounded natural.