Kodif or SupportGPT? A Comprehensive Review

Low-code platform

Supports non-technical teams

Self-service options

Customizable workflows

Increase in CSAT

Decreased onboarding time

Reduced handle time

Increased deflection rates

Specific use cases

HIPAA compliant

Automates customer support workflows

Incorporates Large Language Models

Tailored to company's conversation history

Identifies support coverage gaps

Automatically generates knowledge articles

Provides suggested responses to agents

Responses based on ticket context

Individualized workflows for specific industries

Generates proactive insights

Predicts

Lacks transparency in cost

Requires trust in automated responses

Limited use case specificity

Reduced control for technical teams

No direct user interface (UI) customization

Might fail on complex queries

Not for companies with small traffic

Limited integration with other softwares

Depending on company's conversation history

Limited specific industry adaptation

Limitations in integrations offered

Potential privacy concerns

Accuracy of generated responses

Empathy levels in conversations

Requires extensive training

Platform-specific functionality