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Kodif

Sales
Automate ticket resolutions and empower support agents.
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Role Sales

Kodif Customer Support AI revolutionizes customer service by automating ticket resolutions and empowering agents with intelligent tools. This platform streamlines support processes, enabling faster and more efficient resolutions while preserving a human touch. Integrated with multiple customer service platforms, Kodif ensures seamless handling of inquiries across diverse channels.

Key Features:

  • Provide customers with knowledge
  • Identify intent and sentiment
  • Provide personalized context
  • Direct inquiry to proper support
  • Steer agents to take actions
  • Extract narrative from numbers
  • Works with multiple customer service platforms
  • Customizable by non-technical personnel

Use Cases:

  • Automating ticket resolutions
  • Empowering agents with intelligent tools
  • Delivering personalized support solutions

Benefits:

  • Streamlined support processes
  • Faster and more efficient resolutions
  • Preserves a human touch in customer service interactions
  • Automates ticket resolutions across chat, SMS, social media, and email channels
  • Empowers customer experience teams with an AI Copilot
  • Integrates AI with rule-based workflows for dynamic customer and agent interactions
  • Provides detailed reasoning for AI actions to enable debugging and knowledge base improvement
  • Streamlines support processes for faster and more efficient ticket resolution
  • Detects knowledge gaps and generates KB articles
  • Leverages AI-driven policies and configurable topics to enhance customer support
  • Analyzes incoming tickets to understand customer intent and generate responses
  • Transforms unstructured customer support data into actionable business intelligence
  • Identifies trends and groups similar issues to surface emerging problems
  • Automates complex workflows such as refunds and cancellations
  • Maintains consistent brand voice through customizable personas
  • Enhances knowledge base by generating new articles and refining existing ones based on agent interactions
  • Adapts to business needs through dynamic learning and adaptation
  • Provides consultation and white-glove service with assigned AI engineers during implementation
  • Generates personalized responses for customers and assists agents in crafting responses
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