· TheCXGuru · AI · 1 min read
Where generative AI actually helps in the contact centre
Past the hype: the GenAI use cases that are working in CCaaS today, and the skills needed to build them.
Generative AI in the contact centre is past the demo stage. The teams getting value from it are the ones being specific about where it goes.
What is working
- Agent assist — real-time suggestions, summaries and next-best-action drawn from an LLM over your knowledge base.
- Call and chat summarisation — automatic wrap-up notes that are actually accurate, saving handle time.
- Self-service that understands intent — voice and chat bots backed by an LLM instead of rigid decision trees.
- Quality at scale — scoring every interaction instead of a 2% sample.
What still needs care
Cost, latency and guardrails. An LLM in the critical path of every call needs evaluation, fallback behaviour and a budget you monitor.
The skills gap
Building these means combining CCaaS platform knowledge — Genesys Cloud CX, Amazon Connect — with GenAI concepts: prompt design, retrieval, agentic modules, evaluation. That combination is exactly what our AIXperience programme teaches.
Book a free demo class to see it.
