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COMPANY · ENTITY #6421

Amazon EventBridge

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4

CODING · 1 SOURCE · AWS Machine Learning

Automate remediation after AWS DevOps Agent investigations using Lambda Durable Functions and Amazon Bedrock

AWS describes a workflow that connects AWS DevOps Agent investigation events to an automated remediation pipeline: EventBridge triggers a Lambda Durable Functions orchestrator that sends findings to Amazon Bedrock, which selects from an allowlisted set of purpose-built Lambda tools to propose and (for read-only actions) execute fixes or (for mutating changes) prepare pre-validated changes awaiting one-click human approval. The design uses Durable Functions checkpoints to pause for approvals and iteratively call Bedrock until remediation completes, aiming to lower mean time to resolution (MTTR).

6.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore guide for ambient agents with event-driven, human-in-the-loop workflows

AWS published a walkthrough and reference implementation showing how to build "ambient" agents on Amazon Bedrock AgentCore that react to event streams (S3, EventBridge, scheduled tasks), pause for human approval via a single ask_human tool, and resume—using AgentCore Runtime plus serverless AWS components (Lambda, DynamoDB, SQS) and Bedrock foundation models. The post includes a sample deployment path requiring AWS CLI, CDK v2, Docker, and an ECR-hosted agent container, and notes session timeouts align with Lambda's 15-minute limit in the reference.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Aderant deploys Intelligent Ticket Analyzer using Amazon Nova Lite via Bedrock

Aderant built an Intelligent Ticket Analyzer that uses Amazon Nova Lite through Amazon Bedrock to automate context gathering, classification, routing, and knowledge enrichment for support tickets across 268 client environments. In the first 2.5 weeks (June 30–July 17, 2026) it reviewed 109 tickets with ~96% routing accuracy, estimates saving 8–14 engineering hours per week, and ran at under $30/month operating cost.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS shows how to feed Amazon Bedrock Data Automation outputs into Salesforce Agentforce via MCP

An AWS blog post outlines an architecture that uses Amazon Bedrock Data Automation and the Model Context Protocol (MCP) to process unstructured evidence (video, audio, images, documents) stored in Amazon S3 and make structured insights available to Salesforce Agentforce inside the Salesforce console. The pattern uses S3 events, AWS Lambda, DynamoDB and EventBridge, and routes agent queries through Amazon Bedrock AgentCore Gateway to retrieve processed outputs via MCP.

6.0