# AWS powers bedrock Agents with CrewAI

**Interviewee**  
Karan Singh  
**Company**  
Amazon Web Services (AWS)  
**Industry**  
Cloud Computing / Generative AI  
**Sector**  
Enterprise (Fortune 500)  
**Application**  
Gen‑AI agent frameworks, Foundation‑model infrastructure, Memory management & monitoring for agents

## AWS powers bedrock Agents with CrewAI

**Efficiency Gains**  
Karan Signh (AWS) - YouTube  
Tap to unmute  
[Karan Signh (AWS)](https://www.youtube.com/watch?v=bsgBA8aKmWA) [CrewAI](https://www.youtube.com/channel/UCTulKzR5sldNq2eAxxdaEuA)

CrewAI7.65K subscribers

"I would highly recommend getting started with … CrewAI’s framework—it’s a very easy‑to‑understand way to see what agents are capable of."

#### Partnership Overview

As generative‑AI agents shift from demo toys to mission‑critical software, AWS and CrewAI partnered to help enterprises design, govern, and scale autonomous systems that stay within strict security and compliance guardrails—bridging the mindset gap between rules‑based apps and self‑directed agents.

CrewAI’s open‑source “flows‑and‑crews” architecture plugs straight into Bedrock models and AWS monitoring, giving enterprises a secure, modular, and vendor‑neutral foundation for large‑scale intelligent automation.

As a part of the joining of forces, we:

- Published reference blueprints mapping CrewAI agents to Bedrock FMs, memory, and guardrails.
- Open‑sourced exemplar systems—e.g., a multi‑agent AWS security audit crew, legacy‑code modernization flows, and CPG back‑office automation.
- Embedded observability (CloudWatch, AgentOps, LangFuse) so customers can trace, debug, and harden agents from POC to production.

Early pilots show concrete ROI: a Fortune‑scale code‑modernization project ran ~70% faster, while a CPG back‑office flow cut processing time by 90%. The partnership is now guiding a growing pipeline of Bedrock‑powered agent rollouts as enterprises race to capitalize on the agentic trend.

### Join innovators redefining how teams build with AI. Accelerate development by orchestrating Multi-Agent workflows — build, deploy, and scale AI-powered tools 10x faster than traditional methods.

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## Ready to get started?

CrewAI AMP Cloud

Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.