AI Customer Service & Agentic AI: FAQs

What kind of data does Agent AI rely on?

It uses real-time interaction data, historical performance, knowledge base content, and customer profiles. NiCE Agent AI combines these data sources to deliver accurate guidance, recommendations, and automation that enhance both agent performance and customer experiences.

Key data sources for Agent AI:

  • Real-time interaction data: Captures live calls, chats, and messaging context to provide immediate support
  • Historical performance data: Analyzes past interactions to inform coaching and predictive recommendations
  • Knowledge base content: Surfaces relevant articles and scripts for fast, accurate responses
  • Customer profiles: Leverages CRM and account data for personalization and context

How does this data improve AI outputs?

By integrating multiple data streams, Agent AI delivers contextual, real-time assistance and predictive insights that help agents resolve issues faster and deliver personalized service.

What safeguards protect this data?

Agent AI uses secure encryption, access controls, and compliance standards like PCI and GDPR to ensure customer and business data is fully protected.

How does this create a NiCE world?

In a NiCE world, Agent AI transforms data into actionable intelligence, empowering agents to perform at their best while safeguarding sensitive information.

Create a data-smart world, where AI turns every interaction into an opportunity for better service.

See how it works in action

AI Customer Service & Agentic AI: FAQs