Conclusion

Agentic workflow patterns are the next evolutionary stage of event-driven architectures, wherein business logic is not statically defined but dynamically reasoned through using large language model (LLM)–enhanced cognition. By combining traditional cloud-native primitives with LLM workflows and agent design patterns, organizations can build adaptive, intelligent, and modular systems that respond with purpose and learn from experience.

In these patterns, Amazon Bedrock is the gateway to agentic cognition, allowing LLM-based agents to access event workflows, interact with tools and memory, and deliver structured, traceable, and aligned results.

As you design and deploy agentic systems, these workflow patterns provide blueprints for building autonomous, composable AI architectures. These systems are grounded in serverless best practices and augmented with intelligent foundation models.