Gartner® thought leadership report: How to choose the right architecture to build AI agents

Gartner^® thought leadership report: How to choose the right architecture to build AI agents

The rapid evolution of artificial intelligence (AI) agents — autonomous or semi-autonomous software systems — is transforming how businesses operate. According to Gartner, by 2028, 80% of organizations will report that AI agents consume the majority of their APIs, rather than developers.

With advancements in large language models (LLMs) and technologies like retrieval augmented generation (RAG) and model fine-tuning, AI agents are poised to deliver unprecedented value. However, without the right architectural foundation, organizations risk creating systems that are inefficient, inflexible, and prone to failure.

This report is an essential read for engineering leaders preparing to build an architecture strategy to future-proof AI initiatives. Enjoy this complimentary copy on us!

Highlights

Understand the key components of AI agent architecture.
See what proven architectural patterns are being used to streamline development.
Learn how to avoid pitfalls like technical debt, delivery failures, and performance bottlenecks.

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