Provides an AI-powered virtual agent platform that integrates with existing customer support systems to automate first-tier inquiries, reducing repetitive ticket volume by up to 60%. The solution leverages machine learning to analyze historical customer interactions, enabling 24/7 self-service support that improves response times and frees human agents to handle more complex issues.
Funding
Funding not disclosed
Founders
Product
Problem
Customer support teams often spend excessive time addressing repetitive, first-tier inquiries, diverting resources from complex issues and hindering overall efficiency. This high volume of routine tickets leads to delayed response times and diminished customer satisfaction.
Solution
Percept.AI (now part of Atlassian) offers an AI-powered virtual agent platform designed to automate initial customer support interactions and reduce the burden of repetitive tasks. The platform analyzes historical customer communication data using machine learning to provide 24/7 self-service support. By integrating with existing chat and ticketing systems, the AI agent handles common inquiries, allowing human agents to focus on more complex and value-added customer issues, ultimately improving response times and customer experience.
Target Audience
The primary target audience includes customer support teams and businesses seeking to automate first-tier support, reduce ticket volume, and improve customer satisfaction.
Features
- AI-powered virtual agent trained on historical customer support data
- 24/7 automated responses to common customer inquiries
- Integration with existing chat and ticketing platforms (e.g., Zendesk, Salesforce)
- Reduction of repetitive tickets by up to 60%
- Natural language processing (NLP) for understanding customer requests
- Self-learning capabilities to continuously improve response accuracy
- Holistic view of customer insights for human agents