Wenrix’s AI-Driven Transformation with Amazon Q Business

Wenrix is an AI-driven company that helps travel agencies optimize airfare spending from start to finish. By leveraging advanced machine learning, Wenrix boosts profitability and conversion rates throughout the travel booking process—from fare search to departure.

To further empower its internal teams, Wenrix sought an efficient solution for managing its knowledge base. By implementing Amazon Q Business, Wenrix provided employees with instant access to critical information sourced from multiple internal systems. TensorOps, working in close collaboration with AWS, successfully integrated Amazon Q Business with Wenrix’s existing data sources.

Challenge

Wenrix relied on a variety of tools—Jira, Slack, Google Drive, Confluence, GitHub, and several domain-specific websites—to house important internal knowledge. However, employees faced challenges quickly retrieving the right information as they had to search across several platforms manually.

The goal was to deploy Amazon Q Business as a cost-effective AI chatbot that would:

• Seamlessly connect to existing internal systems

• Optimize data indexing to minimize unnecessary processing and overhead

• Enforce secure, role-based access to sensitive information

Solution

TensorOps partnered with Wenrix and AWS to implement Amazon Q Business, ensuring smooth integration with Wenrix’s internal systems. Key aspects of the solution included:

• Optimized Connector Configuration: Rather than building new connectors, TensorOps fine-tuned the existing connectors for Jira, Slack, Google Drive, Confluence, GitHub, and web-based knowledge sources.

• Cost-Effective Data Indexing: By strategically configuring what data was indexed, TensorOps reduced operational costs by approximately 90%, eliminating unnecessary processing while still providing accurate search results.

• Robust Security & Access Control: Role-based access ensured that employees only retrieved the information they were authorized to view.

• Seamless Deployment & Scalability: The no-code setup allowed Wenrix to manage and update the chatbot effortlessly, ensuring readiness for future expansion.

Technical Implementation

TensorOps and AWS focused on creating a robust and scalable solution by:

• Fine-Tuning Connector Configuration: Adjusting the existing Amazon Q Business connectors to ensure efficient and targeted data indexing.

• Optimizing Data Indexing: Carefully configuring the selection of indexed content to significantly reduce indexing costs while maintaining high-quality search performance.

• Enforcing Security & Access Control: Implementing role-based permissions to keep sensitive information secure.

• Ensuring Scalability & Performance: Setting up the chatbot to handle high volumes of queries and deliver rapid, real-time responses.

Results

The deployment of Amazon Q Business transformed how Wenrix accessed internal knowledge:

• Faster and more efficient access to relevant information across multiple platforms.

• A significant reduction in operational costs—thanks to an optimized data indexing strategy that cut costs by approximately 90%.

• Improved internal collaboration by providing a unified, secure hub for information retrieval.

• A scalable solution that meets security standards and is ready for future expansion.

Key Takeaways

• AI-Powered Efficiency: Implementing Amazon Q Business with a focus on optimized data indexing enhances internal information management.

• Cost Optimization: A clear configuration strategy for data indexing can yield significant cost savings.

• Seamless Integration: Connecting tools like Jira, Slack, and Confluence ensures a unified and accessible knowledge base.

• Security and Scalability: With robust role-based access controls and a scalable architecture, organizations can confidently expand their AI capabilities.

• Collaborative Success: The partnership among TensorOps, AWS, and Wenrix was instrumental in delivering a cost-efficient and high-performance solution.

If you're interested in hearing about our internal knowledge solutions, feel free to reach out to me on LinkedIn

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TensorOps is a consulting and professional services company focused on helping companies across various verticals achieve business growth through rapid and efficient AI, ML, and Big Data adoption, ensuring the best approach for each client. With a team of 20 AI specialists, TensorOps serves multiple clients across Europe and North America. Our team spans acoss Portugal, UK, and Israel, and our key markets span ad tech, healthcare, fintech, and other industries.