Khorus

Where in GCC does Khorus have offices?

Not available

Who are Khorus customers in Middle East  

Not available

What is Khorus local address  

Not available

Is Khorus platform available in Arabic

Not available

Does Khorus platform use AI? And where?

Yes, the Khorus platform extensively uses AI (Artificial Intelligence) and ML (Machine Learning) technologies to enhance its functionalities and provide a superior customer experience. The AI and ML capabilities are integrated into various aspects of the platform to automate processes, improve efficiency, and deliver personalized interactions. Here are some specific areas where Khorus employs AI: 

- Suggested Responses: AI is used to enhance agent efficiency by automatically recommending the best replies, with machine learning improving these suggestions over time.

- Intent Detection: Natural Language Understanding (NLU) powered intent detection is used for advanced tagging and routing, making the process more intelligent and easier to maintain.

- Sentiment Analysis: AI automatically determines sentiment based on text classification and tracks how sentiment changes throughout the conversation.

- Language Detection: AI automatically determines the language of customer interactions to inform routing to the right team and enable translation technologies.

- Actionable Engagements: AI identifies which customer engagements and inquiries are actionable based on past responses and outcomes.

- Noise and Spam Filtering: AI filters out noise and spam to focus on what matters.

- Proactive Chat and Automated Responses: AI initiates proactive chat messages or triggers automated responses to inbound messages.

- Bot Coordination: AI coordinates agents and bots, offering failover protection and resolution reporting to improve bot performance.

- Performance Measurement: AI measures bot and automation performance with the same granularity as human agents. 

Does Khorus platform use AI? And where? 

 Yes, the Khorus platform extensively uses AI (Artificial Intelligence) and ML (Machine Learning) technologies to enhance its functionalities and provide a superior customer experience. The AI and ML capabilities are integrated into various aspects of the platform to automate processes, improve efficiency, and deliver personalized interactions. Here are some specific areas where Khorus employs AI: 

- Suggested Responses: AI is used to enhance agent efficiency by automatically recommending the best replies, with machine learning improving these suggestions over time. 

- Intent Detection: Natural Language Understanding (NLU) powered intent detection is used for advanced tagging and routing, making the process more intelligent and easier to maintain. 

- Sentiment Analysis: AI automatically determines sentiment based on text classification and tracks how sentiment changes throughout the conversation. 

- Language Detection: AI automatically determines the language of customer interactions to inform routing to the right team and enable translation technologies. 

- Actionable Engagements: AI identifies which customer engagements and inquiries are actionable based on past responses and outcomes. 

- Noise and Spam Filtering: AI filters out noise and spam to focus on what matters. 

- Proactive Chat and Automated Responses: AI initiates proactive chat messages or triggers automated responses to inbound messages. 

- Bot Coordination: AI coordinates agents and bots, offering failover protection and resolution reporting to improve bot performance. 

- Performance Measurement: AI measures bot and automation performance with the same granularity as human agents. 

What AI does Khorus use? Chat GPT, etc. 

Khorus leverages a variety of AI technologies to power its platform, although specific AI models like ChatGPT are not explicitly mentioned in the provided sources. Here are some of the AI technologies and principles Khorus uses:   

- Generative AI: Khorus combines generative AI with a vast amount of data, world-class automation, and digital engagement tools to create an efficient support experience. This generative AI helps in building self-service customer care solutions that learn and improve over time. 

- Natural Language Understanding (NLU): NLU is used for intent detection, sentiment analysis, and language detection, making customer interactions more intelligent and context-aware. 

- Machine Learning (ML): ML is employed to improve suggested responses, identify actionable engagements, and enhance the overall efficiency of the platform. 

- AI-Powered Bots: Khorus uses AI-powered bots to contain entire conversations, resolve inquiries, and automate tedious or predictable processes. 

Khorus leverages a variety of AI technologies to power its platform, although specific AI models like ChatGPT are not explicitly mentioned in the provided sources. Here are some of the AI technologies and principles Khorus uses:

- Generative AI: Khorus combines generative AI with a vast amount of data, world-class automation, and digital engagement tools to create an efficient support experience. This generative AI helps in building self-service customer care solutions that learn and improve over time.

- Natural Language Understanding (NLU): NLU is used for intent detection, sentiment analysis, and language detection, making customer interactions more intelligent and context-aware.

- Machine Learning (ML): ML is employed to improve suggested responses, identify actionable engagements, and enhance the overall efficiency of the platform.

- AI-Powered Bots: Khorus uses AI-powered bots to contain entire conversations, resolve inquiries, and automate tedious or predictable processes.

Is Khorus a Web 3 company? 

 No 

Are there any Web 3 components in Khorus? 

 No