Extending Public Sector Intelligence with Agentforce and AWS
Amazon Web Services and Salesforce have introduced a new integration that turns unstructured data into actionable insights.
Amazon Web Services and Salesforce have announced an integration that transforms unstructured data—such as body camera footage, surveillance videos, and scanned documents—into structured, actionable insights with the help of Amazon Bedrock Data Automation, Model Context Protocol, and Salesforce Agentforce.
Data Processing Challenges in the Public Sector
Public sector organizations process massive volumes of unstructured evidence data, such as body camera footage, surveillance videos, and scanned documents, from which insights must be extracted before action can be taken.
The Importance of Storage and Automation
While durable and cost-effective storage is provided through the Amazon S3 integration, storage is only half the battle, and manual reviews take too much time without automation.
Access via the Salesforce Console
Through this integration, Agentforce users can search processed data stored on AWS, uncover key insights from unstructured data, and perform advanced operations without leaving the Salesforce console.
Workflows That Turn Raw Evidence into Insights
Two main workflows work together to transform raw evidence into actionable investigative insights; the first workflow uploads unstructured media files to Amazon S3.
Event-Driven Architecture on AWS
Once data arrives in Amazon S3, an event-driven architecture asynchronously processes multi-modal data using Amazon Bedrock Data Automation and organizes the results.
Communication Between Agentforce and AWS
On the Salesforce side, chats conducted via Agentforce trigger a structured action that calls AWS via the Model Context Protocol, providing responses in natural language.