AI Integration
AI Integration
AI Integration
Governance
Governance
Governance
ByteSource - AI-Powered Productivity in Enterprise Tools
Year
2024
Client
ByteSource Deutschland Gmbh
Timeframe
2024
Bytesource Deutschland sought to leverage AI to enhance productivity in issue tracking and customer support. Their goal was to use AI-driven search solutions for JIRA and automate multilingual support for Zoho tickets.
Bytesource Deutschland sought to leverage AI to enhance productivity in issue tracking and customer support. Their goal was to use AI-driven search solutions for JIRA and automate multilingual support for Zoho tickets.
Bytesource Deutschland sought to leverage AI to enhance productivity in issue tracking and customer support. Their goal was to use AI-driven search solutions for JIRA and automate multilingual support for Zoho tickets.
The challenge
Bytesource wanted to leverage AI for issue tracking and customer support automation. They needed an AI-driven search solution for JIRA issues and multilingual support for Zoho ticket responses.
Bytesource wanted to leverage AI for issue tracking and customer support automation. They needed an AI-driven search solution for JIRA issues and multilingual support for Zoho ticket responses.
Bytesource wanted to leverage AI for issue tracking and customer support automation. They needed an AI-driven search solution for JIRA issues and multilingual support for Zoho ticket responses.
The solution
Pranav designed an AI-powered semantic search tool using LangChain, Python, and PostgreSQL, improving search accuracy over JIRA issues. He also implemented a Zoho ticket automation system using RAG with human-in-the-loop validation, enhancing customer support efficiency and reducing response time.
Pranav designed an AI-powered semantic search tool using LangChain, Python, and PostgreSQL, improving search accuracy over JIRA issues. He also implemented a Zoho ticket automation system using RAG with human-in-the-loop validation, enhancing customer support efficiency and reducing response time.
Pranav designed an AI-powered semantic search tool using LangChain, Python, and PostgreSQL, improving search accuracy over JIRA issues. He also implemented a Zoho ticket automation system using RAG with human-in-the-loop validation, enhancing customer support efficiency and reducing response time.
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