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Enterprise AI Architecture
Definition
Enterprise AI architecture is the structured design of components, workflows, and governance mechanisms required to deploy, operate, and scale AI systems reliably within an organization.
Purpose
The purpose of enterprise AI architecture is to ensure that AI systems are secure, compliant, scalable, and maintainable while integrating with existing enterprise infrastructure and processes.
Key Characteristics
- Modular composition of models, agents, data sources, and tools
- Clear separation between inference, orchestration, data access, and governance layers
- Integration with existing enterprise systems such as identity, data platforms, and APIs
- Built-in mechanisms for access control, auditability, and compliance
- Operational support for monitoring, versioning, and lifecycle management
Usage in Practice
In practice, enterprise AI architecture is used to design and operate production AI systems that support business-critical workflows, coordinate multiple agents and services, and meet organizational and regulatory requirements.
One implementation of this concept is offered by Kenaz through the AI Readiness Assessment service.