Conversational Intelligence

Turn conversations into insights that speak volumes

Every customer interaction holds valuable insights. Unlock them to make smarter decisions, boost agent performance—both human and AI—and turn customer connections into your brand’s superpower.

Flowchart analyzing customer chat with AI and live agents about electric vehicle trade-ins and readiness.
Flowchart analyzing customer chat with AI and live agents about electric vehicle trade-ins and readiness.

Transform every interaction into valuable insights with Conversational Intelligence

Contact center quality assurance at scale

Move beyond random conversation selection with AI-driven insights to boost efficiency and agent performance.

  • Analyze 100% of conversations across languages

  • Measure and enhance agent performance with data-driven coaching

  • Continuously refine the customer support experience with incremental improvements

  • Ensure compliance with automated PII redaction

Flowchart showing an incoming call, user data collection, virtual agent interaction, and sentiment analysis.
Flowchart showing an incoming call, user data collection, virtual agent interaction, and sentiment analysis.
A dashboard showing a virtual agent and sentiment analysis results indicating positive sentiment.
A dashboard showing a virtual agent and sentiment analysis results indicating positive sentiment.
New

Virtual agent and Messaging support

Conversational Intelligence now integrates with ConversationRelay virtual agents and Messaging channels to bring unified AI insights across customer touch points. Sign up for the Conversational Intelligence for Messaging beta.

How does Conversational Intelligence work?

Extract customer insights and business intelligence anywhere you interact with customers.

Channels

  • Twilio Programmable Voice logo

    Identify, extract, and analyze insights from unstructured data in voice calls. 

  • Twilio Messaging logo

    Now in private beta: Analyze SMS, WhatsApp, and chat conversations.

Agents

  • Customer service agent

    Analyze conversations between customers and human agents.

  • Chat Bubble

    Analyze conversations between customers and virtual agents.

Capabilities

Uncover opportunities to drive operational efficiency and improve customer satisfaction through Conversational Intelligence.

Analyze language with AI

Extract deep meaning from conversations with unmatched accuracy and configurability thanks to advanced AI analysis.

  • Generative insights

    Customize call scoring, generate competitive intelligence, and detect intent with natural language prompts.

  • Sentiment analysis

    Measure customer opinions, satisfaction, and emotional tone.

  • Entity recognition

    Extract key details like names, locations, and events.

  • Conversation summaries

    Quickly surface crucial call details for faster decision making.

Flowchart showing an incoming call, user data collection, virtual agent interaction, and sentiment analysis.
Flowchart showing an incoming call, user data collection, virtual agent interaction, and sentiment analysis.

Turn your conversations into actionable insights. Start for free.

Twilio Conversational Intelligence lets you act on conversational data with one convenient, AI-driven tool.  View our pricing for Conversational Intelligence for Voice or sign up for free today.

A smiling man holding a phone to his ear, wearing a dark jacket and green shirt with a red background.
A smiling man holding a phone to his ear, wearing a dark jacket and green shirt with a red background.

FAQs

Conversational Intelligence is an AI-powered tool that analyzes voice and messaging conversations in real time. It’s designed to help businesses understand, automate, and improve customer interactions by transcribing calls, extracting insights, and enabling advanced features like virtual agents.

It works by: 

  1. Call routing - connect the call to the Conversational Intelligence service
  2. Real-time streaming - call audio is streamed to the Conversational Intelligence service via websocket. Your application can interact with the stream to send and receipve messages like prompts, responses, and interruptions
  3. AI processing - AI transcribes the conversational as it happens. AI models (Called language operators) analyze the conversation for sentiment, task completion, virtual agent performance, interruption detection, human agent escalations.
  4. Transcripts and insights - a detailed transcript is generated with speaker labels and results of AI analysis.

You can use Conversational Intelligence for AI-powered call analysis and text messages analysis.

 

Voice

 

Source

Status

Twilio Recordings

Available

External Recordings

Available

Calls

Available

New: ConversationRelay

Available

 

Messaging

 

Source

Status

New: Conversations 
(SMS, WhatsApp, WebChat, and more)

Language Operators are modularized Natural Language Understanding (NLU) capabilities, powered by AI. Language Operators analyze your customer conversations and turn the raw unstructured data from voice calls and messages into structured information that can be used to generate transcripts, analyze interactions, detect sentiment, and monitor agent performance.

WIth Twilio, you can choose to use pre-built language operators for out-of-the-box functionality like sentiment detection and call recording disclosures. Or, you can create your own custom language operators for your specific analysis use cases. The inferences from the operators will show up in the conversation transcript.

Learn more about Twilio Language Operators in our docs.

Yes, Conversational Intelligence provides a single unified platform to monitor the performance of both human and virtual agents. This combined visibility gives you insights to understand a customer’s end-to-end journey. 

You can set up Language Operators that are used across both agent types (human and virtual), or specify certain Operators that work specifically for human vs. virtual agents.

Twilio Conversational Intelligence provides industry-leading accuracy. You get the choice of best-in-class speech-to-text providers, with each engine and model thoroughly vetted by our in-house Machine Learning (ML) team. Conversational Intelligence transcription is also natively integrated with other Twilio communications channels, so you have a simple and seamless way to turn any communication media into a transcript that can be analyzed.

Twilio Conversational Intelligence supports both real-time and post-conversation transcription for voice calls. Depending on your use case, you can select which makes the most sense for you.

The platform currently supports 11 languages:

  • English (US, UK, AU)
  • German (DE)
  • French (FR)
  • Italian (IT)
  • Spanish (MX, ES, US)
  • Portuguese (BR, PT)
  • Dutch (NL)
  • Norwegian (NO)
  • Polish (PL)
  • Swedish (SE)
  • Danish (DK)

Users should ensure compatibility with their preferred language before implementing the platform.

Yes, Twilio Conversational Intelligence is provider agnostic. You can use any stereo/dual channel recording and convert it for action. We believe you shouldn’t be boxed in to one provider and want you to have the freedom to integrate Twilio with your existing tech stack.

Dual channel recording: You can separate each speaker onto individual audio channels to improve speech separation, transcription accuracy, and speaker identification.This ensures clearer recordings, more precise sentiment analysis, and better keyword spotting, making it an essential component for delivering reliable and insightful voice analytics.

Customer sentiment analysis: Sentiment analysis helps you extract valuable insights from voice calls and messages. Twilio Conversational Intelligence acts like a keen listener, going beyond words to detect emotions and determine if sentiments are positive, negative, or mixed. This deeper understanding of customer feelings helps businesses track sentiment trends and respond effectively, ensuring their actions resonate with customer needs.

Call summarization: Conversational Intelligence takes long chats and boils them down to the essentials. It gives you the key points—like what was talked about, what needs to be done, and any big decisions made—so you can focus on what matters, make decisions faster, and improve your customer experience.

Both conversational intelligence and call tracking involve analyzing customer interactions, but they serve different purposes. Call tracking focuses on capturing call data for marketing attribution, whereas conversational intelligence provides deeper insights into the content and context of conversations, enabling more strategic decision-making.

Call recording is… but Conversational Intelligence applies AI to analyze the conversations, so you get insights at scale.