Retrieve approved knowledge
Search internal documents first and keep the answer connected to the relevant source.
Anonymized client case · Evidence-grounded customer support
A specialist service provider needed to answer recurring customer questions across a long treatment journey without allowing an AI system to diagnose, improvise, or hide uncertainty.
01
Customers asked different questions depending on where they were in their journey. Staff repeated guidance, but answers still needed approved sources, customer context, and a safe route for urgent situations.
02 · Interactive workflow
Search internal documents first and keep the answer connected to the relevant source.
Adapt the response to language, profile, date, and current phase of the customer journey.
Clearly distinguish internal guidance from approved website information and broader external context.
Detect warning signals and send the original customer message to the human support team without generating a diagnosis.
03
The delivered system could provide consistent phase-specific support in three languages while making the source of the answer visible.
It also created a direct path for urgent messages to reach people with the relevant customer context. No time-saving percentage is claimed because live support-volume data was not supplied.
04
The agent was designed to inform and support, not diagnose. Potentially serious messages triggered human escalation, and the support team remained responsible for medical or professional advice.
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