{
  "id": 2175069,
  "title": "Scaling agentic AI: Enterprise patterns without vendor lock-in",
  "url": "https://urgent.news/2026/08/20/scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-20T16:24:12.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/scaling-agentic-ai-enterprise-patterns-without-vendor-lock-in/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems across a multi-everything environment of frameworks, models, and providers, and the principles that let those systems scale together.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}