Extending public sector intelligence with Agentforce and AWS
How-To How to actually use this
What changed: A new integration combines Amazon Bedrock Data Automation and the Model Context Protocol (MCP) to process unstructured public sector data and surface it via natural language in Salesforce Agentforce.
How to use it:
- Ingest unstructured evidence (e.g., body camera footage, scanned documents) into Amazon Bedrock Data Automation.
- Configure MCP to structure the processed data and connect it to Salesforce Agentforce.
- Query the connected data using natural language in Agentforce to retrieve structured insights.
Good for: public sector agencies analyzing unstructured evidence with AI.
Public sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP) to turn that data into structured insights and surface them through natural language queries in Salesforce Agentforce.
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