Building an AI Agent That Can Actually Handle Customer Conversations

I’ve been exploring how AI agents are moving beyond the usual “chatbot that answers questions” approach.

One example I came across is Ollabear, which focuses on using a single AI agent for sales conversations, customer support, and ticket triage.

What I find interesting as a developer is the architecture behind it. A useful customer-facing agent needs more than an LLM. It needs access to business knowledge, integrations, rules, conversation context, and a reliable way to hand difficult cases to humans.

The workflow starts looking something like:

Customer → Context → AI Agent → Tools → Decision → Response / Human Handoff

Ollabear connects with business tools and provides API/webhook capabilities for integrating the agent into existing applications.