# Building Agentic Workflows with SageMaker AI and Bedrock AgentCore

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-08-14T15:58:44.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 140/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/building-agentic-workflows-with-sagemaker-ai-and-bedrock-agentcore)  
> **Canonical Citation:** [https://spidits.com/timeline/building-agentic-workflows-with-sagemaker-ai-and-bedrock-agentcore](https://spidits.com/timeline/building-agentic-workflows-with-sagemaker-ai-and-bedrock-agentcore)

## Executive Summary
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each.

## Why It Matters (Strategic Analysis)
The integration of SageMaker AI with Bedrock AgentCore enables the creation of flexible and cost-optimized multi-agent workflows, allowing for the use of managed foundation models and custom models in a single architecture. This combination provides a significant advantage in terms of model flexibility and cost optimization.

## Key Entities & Companies
- **OpenAI**

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/building-agentic-workflows-with-sagemaker-ai-and-bedrock-agentcore)**: Building agentic workflows with SageMaker AI and Bedrock AgentCore — _Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*