# Amazon — Scaling agentic AI: Enterprise patterns without vendor lock-in

- Company: Amazon (amazon.com)
- Announced: 2026-08-20T16:24:12+00:00
- Subject: Bedrock / Nova
- Source: https://aws.amazon.com/blogs/machine-learning/scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in/
- Record: https://forck.live/items/4293-scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in

This post discusses architectural principles for scaling agentic AI systems in multi-framework, multi-model, multi-provider enterprise environments, emphasizing the separation of control and execution planes and the use of Amazon SageMaker for consistency.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in/:

> This post explores the architectural principles and patterns required to scale agentic AI systems while preserving flexibility and avoiding vendor lock-in.

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Record: https://forck.live/items/4293-scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in
Catalogue: https://forck.live/llms.txt
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