Enterprise AI Architecture:
7 Gateways & 3 Layers

Scale generative AI applications and autonomous agent fleets securely, reliably, and cost-effectively. "The Anatomy of Enterprise AI" is your definitive, vendor-neutral guide to mastering enterprise AI control points, written specifically for platform leaders, system architects, and security teams.
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Navigate Complex AI Architectures

  • 7 Critical Request-Path Gateways: Establish targeted control points across LLM, MCP, API, Agent, Data, Retrieval (RAG), and Inline AI Security boundaries.
  • 3 Essential Horizontal Layers: Implement robust systems alongside the request path for unified Identity, end-to-end Observability, and continuous Governance.
  • The Emerging AI Control Plane: Unify identity, security, policy, token cost, and quality metrics across all individual gateways.
  • Strategic Roadmap & Best Practices: Identify system gaps by blast radius, eliminate tool sprawl, and implement gateway-enforced human approval loops.
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See what Revefi could save you.

See Revefi on your own stack in a demo, or estimate your savings first with our calculators for Snowflake, Databricks, Google BigQuery and AI.

Cost calculator
Monthly LLM and AI spend
$120,000
Estimated savings
$24K to $48K
a month
See it in a demo