How Can Generative AI Be Used in Customer Service?
AI Customer Service & Agentic AI: FAQs
How Can Generative AI Be Used in Customer Service?
Generative AI is redefining customer service by turning data into dynamic, personalized interactions. Instead of relying solely on scripted workflows, generative AI understands intent, context, and tone—enabling more natural conversations, faster resolutions, and consistent service quality across every channel.
NiCE’s Agentic AI for CX and Conversational AI and Chatbots leverage large language models (LLMs) to generate real-time responses that are accurate, empathetic, and on-brand. Agents can access instant summaries, suggested replies, and next-best actions through Copilot for Agents, while supervisors gain visibility into interaction quality through Enlighten AI for CX.
Key Ways Generative AI Enhances Service:
Automates routine tasks and FAQs with conversational bots
Generates summaries, responses, and recommendations in real time
Delivers personalized engagement based on customer context and history
Guides agents with contextual prompts and tone suggestions
Integrates seamlessly across chat, voice, and social channels
When combined with AI Workflow Orchestration, generative AI ensures every interaction—human or automated—flows efficiently and aligns with business objectives, improving both customer satisfaction and agent productivity.
Explore How NiCE Powers CX with Generative AI
See how NiCE empowers contact centers with generative AI that drives real results.