How to Augment Voice Calls with Twilio Intelligence in C#

A Twilio tutorial explains how to extend a C#/.NET voice AI agent with Conversation Orchestrator, Conversation Memory, and Conversation Intelligence to generate post-call summaries, assess caller sentiment, and evaluate whether the agent followed predefined scripts. It guides developers through creating Twilio conversation and intelligence configurations, enabling automatic voice capture and memory, defining summary, sentiment, and script-adherence rules, and sending results to a publicly accessible webhook after each call. The application uses an ASP.NET controller to parse Twilio’s JSON webhook payload, retrieves call timestamps through the Conversations V2 API, and stores call details and operator results in a SQLite database using Dapper and Microsoft.Data.Sqlite. The tutorial also covers database schema initialization, dependency registration, environment configuration, ngrok exposure, TwiML and Conversation Relay setup, and testing calls to verify that the Owl Air agent responds to common customer questions while the resulting intelligence data is persisted for later analysis.

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