Email

Features
Email

Automate email support with AI agents that read, respond, route, and learn from every interaction.

RoundInfinity's email automation capability revolutionizes customer communication with AI-powered agents that intelligently read, analyze, and respond to emails using contextual data. Features like natural language understanding, sentiment analysis, smart categorization, and automated routing ensure every email receives accurate, personalized attention. The platform leverages Customer 360 data - analyzing customer history, preferences, and real-time context - to deliver relevant, timely responses that feel human.

With AI-driven automation and intelligent learning, businesses can handle high email volumes efficiently, reduce response times, and maintain consistent service quality. This drives productivity, lowers operational costs, and enhances customer satisfaction, resulting in seamless email experiences that strengthen relationships, improve resolution rates, and maximize ROI.

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Setup

Seamlessly integrate AI-powered email agents with your email systems (Gmail, Outlook, Exchange) and configure auto-forwarding, IMAP/SMTP settings, and mailbox rules to enable automated email processing and intelligent routing.

Incoming Email Processing

Customers send emails, and AI agents instantly read and analyze content, detecting intent, urgency, and sentiment while extracting key information using contextual Customer 360 data.

AI-Powered Auto-Response

Advanced NLP and machine learning enable agents to understand complex queries, access knowledge bases, and generate accurate, personalized responses using customer history, product data, and business context - all automatically, 24/7.

Intelligent Routing

For emails requiring human expertise, cases are automatically routed to the right agent or department based on subject matter, customer priority, workload, and skill matching, ensuring faster resolution through an AI-assisted omnichannel inbox.

Smart Workflows

Custom workflows orchestrate multi-step processes, escalate urgent cases, trigger follow-up sequences, create tasks across departments, and integrate with CRM and business applications to streamline end-to-end case resolution.

Post-Case Feedback

After case closure, automated feedback surveys measure customer satisfaction and gather insights. AI analyzes responses, sentiment scores, and resolution patterns to identify improvement areas. Negative feedback triggers alerts to supervisors for immediate review and intervention.

Continuous Improvement

Machine learning continuously refines response accuracy based on email patterns, customer feedback, agent corrections, and resolution outcomes, automatically updating knowledge bases and improving service quality over time.