AI case
A knowledge layer for multiple products, with AI and human continuity
A RAG-based assistant able to serve different products from specific knowledge bases, preserve context, and hand off the conversation when automation is not enough.
Context
Distributed knowledge creates friction for anyone who needs an answer.
Different products carried their own documents, rules, and contexts. Without an organizing layer, support could lose specificity and make continuity between what AI started and what a person needed to take over harder.
- Identify the product and context
- Retrieve the right knowledge base
- Keep the conversation understandable
Product question
How do you answer with context without hiding the limits of automation?
The problem was treated as a system of knowledge and continuity, not as an isolated chatbot. The flow needed to know when to search, how to answer, and when to ask for human support.
- Context before the answer
- Evidence alongside information
- Handoff as part of the product
Architecture decision
Routing, retrieval, and handoff on the same map.
The conceptual architecture organizes the person's entry point, context identification, product-specific knowledge bases, grounded answers, and continuity with human support.
- Context router
- Product-segmented knowledge bases
- History available at handoff
Evaluation and safety
Reliability also means knowing when to stop.
Beyond retrieval, the system needs to signal its limits, preserve the source of knowledge, and offer a clear transition when there is uncertainty, an exception, or a need for human judgment.
- Traceability of retrieved knowledge
- Uncertainty signals
- Contextual escalation
Conceptual architecture
Routing, retrieval, and handoff on the same map.
The architecture connects a person's input, product context, targeted knowledge bases, grounded answers, and continuity with human support.
Person
Question, intent, and signs of need.
Context
Product and journey identification.
Knowledge bases
Knowledge retrieved in a targeted way.
Answer
Grounded synthesis and its limits.
Human
Continuity when automation is not enough.
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