Sapling AI

Features

• Sapling Suggest ™: Real-time response assistance from a team response bank for chat and helpdesk tickets, enabling agents to respond promptly.
  
• Autocomplete Everywhere ™: Deep learning-powered autocomplete suggestions for rapid reply composition across various messaging platforms.
  
• Enhanced Language Quality: Advanced machine learning system that catches 60% more language quality issues than standard checkers.
  
• Knowledge Distribution: Shared snippet libraries and text expansion shortcuts for seamless knowledge transfer and quick access to information.
  
• Metrics Improvement: Trackable performance improvements with reductions in first response time (FRT) and increases in customer satisfaction (CSAT).
  
• Best-in-class Omnichannel Support: Seamless integration with popular messaging and CRM platforms to maintain consistency across all communication channels.
  
• Enterprise Security: Robust security features including private cloud, TLS, AES-256 encryption, PII redaction, and optional enhanced identity management.
  
• Easy Installation: A two-click, rapid deployment solution for immediate integration and over 90% team adoption.
  

Use Cases:

• Sales Acceleration: Sales teams can use Sapling to respond to prospects quickly, improving engagement and conversion rates.
  
• Support Efficiency: Support agents leverage Sapling to handle higher volumes of tickets with accurate and timely responses.
  
• Customer Success: Success teams use Sapling to provide personalized service at scale, boosting customer retention and satisfaction.
  
• Team Training: Managers utilize conversational insights and error reports to coach and onboard new team members effectively.
  
• Business Insights: Leverage NLP insights for topic and trend monitoring, allowing rapid adjustments to customer issues.
  

Sapling’s AI copilot revolutionizes the productivity and effectiveness of customer-facing teams by providing advanced language model technologies that enhance communication quality and efficiency in real-time.