Conversational AI in 2026: From hype to enterprise reality

What you'll learn

• Multi-agent architectures: Why moving from a single-bot setup to a network of specialized agents prevents confusion and improves performance.
• The reality of Agentic AI: How organizations balance AI autonomy with the strict guardrails required for complex, regulated transactions.
• Governance & testing: How to continuously improve your AI using a "build, test, analyze" framework that blends traditional rule-based and LLM-driven testing.
• The omnichannel "front door": How brands are using streaming audio (WebRTC) and seamless channel transfers to make digital conversations their primary engagement method.
• The "Agent-to-Agent" future: How to protect your brand identity and data governance when your enterprise AI negotiates directly with a customer's personal AI agent.

Topics covered