Ariglad: AI-Powered Knowledge Base Automation

Ariglad is an innovative AI tool designed to streamline the creation and maintenance of your help center articles. By intelligently analyzing customer support tickets and product release notes, Ariglad automatically generates and updates your knowledge base, ensuring it always reflects the most current and relevant information.

Features

• Automated Article Creation & Updates: Ariglad analyzes support tickets to identify common issues and automatically generates or updates corresponding knowledge base articles.
• Seamless Integrations: Integrates with popular communication platforms like Zendesk and Slack, enabling effortless data analysis and a smooth transition for existing systems.
• Suggested Article Updates: Before auto-publishing, Ariglad provides a list of suggested new or updated articles for your review and approval, ensuring quality control.
• SOC2 & GDPR Compliance: Ensures data security and privacy, adhering to stringent industry standards.
• Free Trial Available: Test Ariglad's capabilities with your own data before committing to a full deployment.

Benefits

• Time Savings: Eliminate the time-consuming task of manual knowledge base updates.
• Enhanced Customer Self-Service: Provide customers with readily available, accurate, and up-to-date answers to their questions.
• Improved Support Operations: Maintain a consistently relevant and comprehensive knowledge base, leading to more efficient support processes.
• Data Security: Benefit from robust security measures ensuring compliance with SOC2 and GDPR.

Use Cases

• Help Center Maintenance: Simplify and automate the process of updating your help center articles.
• Product Documentation: Ensure your product documentation is always current and reflects the latest features and updates.
• Internal Knowledge Sharing: Create an easily accessible and up-to-date repository of internal knowledge.

Ariglad empowers businesses to build and maintain a dynamic knowledge base that significantly improves customer support and internal efficiency.