Building a Smart Call-Center Agent with OpenAI Agent Builder
Details
Join us for a hands-on meetup on OpenAI’s Agent Builder platform and build a practical call-center application tailored for a telephone company.
What we’ll cover:
- Introduction to OpenAI Agent Builder: how it works, when to use it, key features from the official guide.
- Workshop walk-through: we’ll set up an agent designed to support a telecom company’s customers — handling common tasks like service activation, plan changes, outage reporting, billing questions, and escalation to human agents.
- Live build session:
- Define intents and conversation flows (e.g., “I want to change my plan”, “My internet is down”, “What’s my bill this month?”)
- Integrate placeholder data or demo APIs (for example, a mock telecom customer-database or billing API)
- Configure fallback/escalation logic so the agent hands off to a human when needed
- Test the agent with sample phone-call transcripts or chat-like interfaces
- Discussion: best practices for deploying conversational agents in real-world environments — things like privacy, compliance (especially telecom regulations), data security, continuous learning, measuring KPIs (like first-call resolution).
Artificial Intelligence
Machine Learning
New Technology
NLP (Neuro-Linguistic Programming)
Call Center
