A Chatbot with Controlled Access to Sensitive Internal Knowledge

Case Study: RAG Website Chatbot.

The Challenge

A Swiss SaaS provider wanted to enhance its website with an AI-powered chatbot capable of answering product questions instantly and accurately. The objective was to improve customer experience, accelerate pre-sales conversations, and reduce pressure on support teams.

To deliver meaningful responses, the chatbot needed access not only to public website content but also to internal product documentation. This introduced strict security and confidentiality requirements. Common public US-based AI providers were not an option due to compliance constraints, data residency obligations, and the risk of exposing proprietary information. The company required a solution that combined intelligent responses with full control over sensitive internal data while maintaining Swiss data sovereignty standards.

Our Solution

Enable (AI Complete)

• Secure AI architecture designed to avoid reliance on AI endpoints outside Switzerland
• Language model processing confined to Swiss-hosted infrastructure
• Retrieval-Augmented Generation of data
• Data obtained combining website content with controlled internal documentation
• Fine-grained access controls governing how internal knowledge is retrieved and used
• Guardrails and response policies to ensure accurate, brand-aligned, and compliant outputs
• Full lifecycle management of models, prompts, and data pipelines

Operate (CloudOps Complete)

• Hosting exclusively in Swiss data centers
• Full Swiss data sovereignty across infrastructure and AI processing
• Strict IAM and role-based access control isolating internal content
• End-to-end encryption (in transit and at rest)
• Continuous monitoring, anomaly detection, and incident response
• Controlled CI/CD processes for secure AI evolution

Business Outcomes

• Instant, 24/7 product answers for website visitors
• Improved pre-sales engagement and higher conversion rates
• Reduced support workload through automated first-line responses
• Protection of proprietary documentation under strict access controls
• No exposure to common public US-based AI services
• Scalable foundation for future AI-driven customer engagement