In a previous blog, we used Tavro’s Open-Source Agent BizOps Platform to generate an AI Use Case and Agent to originate sub-prime customers with less than 650 credit scores. How do we integrate this back to the data governance program?
Please visit the Tavro GitHub repo for a detailed how-to on the DataHub integration.
In this blog, we demonstrate a use case to integrate Tavro with Datahub’s MCP Server:
- Prototyped AI Agent using Tavro
To recap from the earlier blog, we prototyped the AI agent in Tavro.
- DataHub contains Critical Data Elements
DataHub already contains Critical Data Elements such as Adverse Action Codes, Alternative Credit Indicators, Credit Score, Debt-to-Income Ratio, and Loan-to-Value Ratio within the Banking Glossary.
- Prompt For Fetching Glossary Terms from datahub
We prompted the Tavro AI Assistant to fetch the glossary terms from DataHub.
Tavro used the DataHub MCP Server to fetch the business terms from the Banking glossary.
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