Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore

Executive Briefing

A seven-layer composable reference architecture for taking enterprise agentic AI from prototype to production on Amazon Bedrock AgentCore. Each layer has a stable contract, so you can swap technologies at any layer without redesigning the rest of the stack.

Strategic Industry Analysis

Strategic Context: This framework directly addresses the primary engineering challenge of moving AI agents from unreliable prototypes to production-grade, maintainable enterprise systems through modular architectural contracts.

Engineering & Architecture Perspective

Stop building brittle AI scripts; true enterprise scalability relies on rigid interface contracts. By decoupling the agentic layer from the data source and reasoning engine, we can finally treat AI models as interchangeable components rather than locked-in dependencies, ensuring our clients aren't held hostage by a single model vendor's deprecation cycle.

Architectural Takeaways

• Agentic AI Architecture: Impact on scalable enterprise infrastructure and operational automation.
• Enterprise AI Production: Impact on scalable enterprise infrastructure and operational automation.
• Amazon Bedrock: Impact on scalable enterprise infrastructure and operational automation.
• System Decoupling: Impact on scalable enterprise infrastructure and operational automation.
• Workflow Orchestration: Impact on scalable enterprise infrastructure and operational automation.

Source & Attribution

This intelligence briefing is sourced from Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore and synthesized by the MTREXA Intelligence Team.