# Generative AI

Generative AI refers to models that can produce new content — text, speech, code, or images — by learning statistical patterns from large training datasets. In customer service, generative AI powers dynamically drafted responses, synthesised voice output, automatic conversation summaries, and context-aware knowledge retrieval. Large Language Models are the most prevalent form of generative AI in enterprise deployments. Unlike earlier rule-based systems, generative AI handles open-ended, unpredictable conversations naturally, making it foundational to modern AI Agents. NiCE Cognigy integrates best-in-class generative models from multiple providers, giving enterprises flexibility and governance over how generative capabilities are applied.

For enterprise teams, Generative AI matters because real-world outcomes depend on how the capability is integrated, governed, and measured — not just on the underlying technology. Unlike earlier rule-based systems, generative AI handles open-ended, unpredictable conversations naturally, making it foundational to modern AI Agents.

## Key Points

- AI models that produce new content — text, speech, code — from learned patterns
- Powers dynamic responses, voice synthesis, conversation summaries, and knowledge retrieval
- LLMs are the dominant form of generative AI in enterprise contact centre deployments
- Handles open-ended, unpredictable conversation naturally — unlike rule-based predecessors
- NiCE Cognigy integrates generative AI from OpenAI, Anthropic, Google, AWS, and others

### See how it works in action

- [Watch the demo](https://www.youtube.com/watch?v=U87psHIQF3w)
- [Speak with an expert](/content/contact-us/index.html)
- [Explore Solutions](/content/solutions/ai-agents/index.html)
- [Explore Platform](/content/platform/cognigy-ai/index.html)