Evly Features

Customer Support (3)

Text: Is able to process inquiries submitted by text data from live chat, email, or SMS
Speech: Comprehends human speech and can transcribe it to text for processing
Knowledge Base: The AI is able to access the company's internal knowledge to inform and guide responses to customer inquiries

Ticket Resolution: The platform is able to automatically determine how to resolve help tickets without assistance by human agents
Customization: The platform's responses to customers can be customized to improve comprehension, relatability, and emotional intelligence
Intelligent Routing: When the AI is unable to process a particular type of customer request, it is able to determine which is the best agent to refer the ticket to
Customer Interaction Automation: Allows users to automate responses to customer inquiries across various channels.
Feedback Collection: Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.
Document Processing: Allows users to automate the handling, processing, and management of documents.

Learning: The AI platform is able to learn over time on how to interpret each type of customer inquiry and improve the quality of their responses
Language: Multilingual capabilities allow the AI to process inquiries from many languages
Conversational AI: The AI's responses to customer inquiries provide human-like organic conversations. The platform is able to understand a question no matter how it's worded and provide comprehensive answers

Independent Decision Making: Allows the AI agent to learn from interactions and adapt its responses accordingly.
Adaptive Responses: Allows the AI agent to learn from interactions and adapt its responses accordingly.
Task Execution: Provides the AI agent the ability to execute tasks without requiring constant user input.
Problem Solving: Allows the AI agent to identify and resolve issues without user intervention.

Automated Ticket Resolution: Allows the AI agent to autonomously resolve customer queries without human intervention.
Contextual Response Generation: Enables the AI agent to provide accurate answers based on the context of customer inquiries.
Sentiment Analysis: Allows the AI agent to analyze customer sentiment and adjust responses accordingly.
Knowledge Base Utilization: Enables the AI agent to retrieve information from a knowledge base to assist with query resolution.
Multilingual Support: Provides users the ability to interact with the AI agent in multiple languages for global support.

Proactive Customer Outreach: Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers.
Feedback Collection: Provides users the ability to automate gathering and analyzing customer feedback after interactions.
Escalation Handling: Allows the AI agent to identify when issues require human intervention and escalate them appropriately.
Workflow Optimization: Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.