How Wenrix Cut Knowledge Base Costs by 90% with Amazon Q Business

Wenrix is an AI-driven innovator helping travel agencies optimize airfare spending from search to departure. By leveraging advanced machine learning, Wenrix boosts profitability and conversion rates across the entire booking lifecycle.

To sustain this high-performance environment, Wenrix needed to empower its internal teams with faster access to critical data. Partnering with TensorOps and AWS, Wenrix successfully implemented Amazon Q Business, transforming their fragmented knowledge base into a unified, intelligent asset.

The Challenge: The Cost of Knowledge Silos

Wenrix relied on a diverse ecosystem of tools—including Jira, Slack, Google Drive, Confluence, GitHub, and domain-specific web resources—to house critical internal knowledge. However, this decentralized approach created significant friction.

Employees struggled with information retrieval, forced to manually search across multiple isolated platforms. This reduced productivity and slowed decision-making. Wenrix needed a solution that would:

• Centralize Knowledge: Seamlessly connect to existing internal ecosystems without disrupting workflows.
• Optimize Spend: Deploy an AI chatbot that was cost-effective, minimizing overhead from unnecessary data processing.
• Ensure Governance: Enforce strict, role-based security to protect sensitive intellectual property.

The Solution: A Strategic AI Integration

TensorOps partnered with Wenrix and AWS to deploy Amazon Q Business, prioritizing a balance between performance and cost-efficiency. The solution focused on three core business impacts:

• Smart Integration: Rather than building custom connectors from scratch, TensorOps optimized native connectors for Wenrix’s existing toolstack (Jira, Slack, GitHub, etc.), accelerating time-to-value.
• Cost-Driven Data Strategy: TensorOps implemented a precision indexing strategy. By carefully configuring what data was indexed, we eliminated unnecessary processing.
• Enterprise-Grade Security: The system was architected with robust role-based access controls (RBAC), ensuring employees could only access data relevant to their specific clearance levels.

Technical Implementation

The engineering focus was on creating a lean, high-velocity architecture:

• Precision Indexing: We moved beyond "ingest everything." By fine-tuning the selection of indexed content, we maintained high-quality search relevance while significantly reducing compute requirements.
• Scalable Architecture: The no-code environment was configured to allow Wenrix to effortlessly manage and scale the chatbot as the company grows, without requiring constant developer intervention.
• Real-Time Performance: The system was tuned to handle high query volumes, delivering instant, accurate responses to keep teams moving fast.

Business Results

The deployment of Amazon Q Business fundamentally changed how Wenrix operates internally:

• 90% Reduction in Operational Costs: Through our optimized data indexing strategy, we slashed projected operational costs by approximately 90% without sacrificing search quality.
• Accelerated Productivity: Employees now have instant, single-point access to knowledge that was previously scattered across six different platforms.
• Future-Proof Scalability: Wenrix now possesses a secure, scalable AI infrastructure ready for future expansion.

Key Takeaways

• Strategic Indexing is Profit: A clear configuration strategy for data indexing doesn't just save space—it yields massive cost savings.
• Silo-Busting Efficiency: Connecting tools like Jira, Slack, and Confluence into a single interface unifies the workforce and accelerates onboarding.
• Security enables Scale: With robust role-based access controls, organizations can confidently expand AI adoption without compromising data integrity.
• Collaborative Impact: The synergy between TensorOps, AWS, and Wenrix was instrumental in delivering a high-performance solution on time and under budget.

Interested in optimizing your internal knowledge systems? If you are looking to drive business growth through rapid and efficient AI adoption, let's connect. Feel free to reach out to me on LinkedIn.

About TensorOps TensorOps is a premier professional services firm helping companies across Europe and North America achieve growth through AI, ML, and Big Data adoption. With a specialized team of 20 experts across Portugal, the UK, and Israel, we deliver tailored solutions for AdTech, Healthcare, FinTech, and beyond.