Deliver exceptional customer service and increase operational efficiency using artificial intelligence. Enable your virtual agent to converse naturally with customers and expertly assist human agents in complex cases.


Improve customer service with AI that talks, understands, and interacts.

Foster relationships, not just transactions

Provide personalized support, immediate service, and quick issue resolution, turning individual transactions into continued customer loyalty.

Increase CSAT and operational efficiency

Improve call deflection rates, achieve shorter handling times, and reduce agent training costs, making overall operations faster and more effective.

Turn every agent into a specialist

Free human agents to focus on more difficult and specialized calls, providing them with real-time information, workflows, and turn-by-turn guidance.

Key Features

Enable rich and conversational experiences with AI-powered features

The heart of Contact Center AI is its conversational core, whose human-like interactions are redefining the possibilities of AI-powered conversation.

Take action with Dialogflow

Identify customer intent and determine what to say and do next. Join more than one million developers in using Dialogflow, the world-class development suite for building natural and rich conversational experiences across multiple channels.

Virtual Agent

Gives customers 24/7 access to immediate conversational self-service, with seamless handoffs to human agents for more complex issues.

Agent Assist

Empowers human agents with continuous support during their calls by identifying intent and providing real-time, step-by-step assistance.


Uses natural language processing to identify call drivers and sentiment that helps contact center managers learn about customer interactions to improve call outcomes.

Example CCAI Bot for Dialogflow

Connect with our AI and Machine Learning Specialists

Chris Houck, Ph.D.


Dr. Houck has been working on AI and Machine Learning ever since first using reinforcement learning to train a Neural Network to play blackjack during his Ph.D. studies. Chris has spent the past 25 years helping companies use advanced analytics to improve supply chain, merchandising, and business processes.

Ajay Mishra, Ph.D.


Ajay has 20+ years of post-Ph.D. experience, including as a tenured professor of business and international consultant. He has lead projects with large-scale data and applications of AI/ML, Optimization, and Simulation, including product recommendation, price-sensitive forecasts, store clustering, SKU optimization, and credit card approval. He loves traveling and reading.

Richard Dansoh


Richard has a background in Operations Research. He considers himself a simulation & automation nerd. He works with Machine Learning and is often bouncing between pet projects in his spare time ranging from simple HTML5 games to interactive dashboards. His favorite programming language is Python.

Charlie Hass, Ph.D.


Charlie is a Data Scientist dedicated to delivering value to business operations. Charlie obtained his Ph.D. in 2013 and has since dedicated his time to developing expertise in machine learning, document information extraction, computer vision, retail analytics, and biomedical applications. Outside work, Charlie enjoys rock climbing, cinema, and good food.