Empathy uses Guru Knowledge Agents to deliver region-accurate answers to care managers
When Empathy expanded to Canada, care managers needed region-accurate estate administration information quickly, but the general Guru chatbot pulled from both US and Canadian sources and returned incorrect answers for the user's jurisdiction.
The general Guru chatbot mixed US and Canadian content, producing incorrect regional answers. Content cards that listed multiple provinces on a single card further confused the AI, which could not identify which answer belonged to which province.
Regional separation of knowledge bases improved searchability, significantly reduced irrelevant search results, and increased care team trust and confidence in Guru's answers.
Frequently asked questions
What did this team achieve with this AI workflow?
Regional separation of knowledge bases improved searchability, significantly reduced irrelevant search results, and increased care team trust and confidence in Guru's answers.
What tools did this team use?
Guru, Knowledge Agents, Guru Chrome extension.
What results were reported?
Irrelevant information in searches: significantly reduced; Questions with no direct answers: rarely now get a question where no direct answers yield (source-reported, not independently verified).
What failed first in this deployment?
The general Guru chatbot mixed US and Canadian content, producing incorrect regional answers.
How is this customer support AI workflow structured?
Care manager queries via Chrome Extension → Route to regional Knowledge Agent → AI retrieves province- or state-level answer → Care manager receives accurate answer → Content restructured to fix AI confusion.