AI Customer Service & Agentic AI: FAQs

How do you train an Agentic AI system?

Training involves goal definitions, historical data, outcome feedback, and supervised fine-tuning with domain-specific knowledge. NiCE Agentic AI uses structured training processes to ensure accurate, safe, and effective autonomous operations.

What are the key steps in training?

  • Define clear goals: Establish business objectives and measurable outcomes
  • Leverage historical data: Use past interactions and workflows to inform model learning
  • Incorporate feedback loops: Continuously refine decisions based on real-world outcomes
  • Apply supervised fine-tuning: Involve subject-matter experts to guide model improvements
  • Embed domain knowledge: Tailor AI for industry-specific regulations and workflows

Why is ongoing training important?

AI must adapt to evolving business needs, market conditions, and customer behavior. Regular updates prevent performance degradation and keep automation relevant.

How does NiCE simplify AI training?

NiCE Agentic AI provides tools for easy data integration, human-in-the-loop supervision, and continuous optimization to reduce complexity for enterprises.

How does this create a NiCE world?

In a NiCE world, Agentic AI continuously learns and adapts, ensuring smarter automation that evolves alongside your business.

Create an adaptive world, where AI learns from your goals and delivers better results.

See how it works in action

AI Customer Service & Agentic AI: FAQs