The AI Control Stack
The strategic blueprint for enterprise
Govern AI. Unlock value. Move fast.
AI adoption is accelerating faster than the infrastructure designed to control it.
Most enterprises are still relying on legacy API platforms built for a different era—one defined by service-oriented architectures and predictable request-response traffic.
AI workloads are different. They introduce streaming interactions, token economics, agentic reasoning, and emerging standards like the Model Context Protocol (MCP).
Traditional platforms weren’t built for this.
Introducing the AI Control Stack
The AI Control Stack is a modern reference architecture for governing AI and APIs together. Designed for enterprise-scale adoption, it unifies control across every layer of your AI infrastructure.
It consists of three layers:
- API Foundation – Provides connectivity, exposure, and policy enforcement for services and models.
- AI Control Layer – Orchestrates and governs AI workloads, including token management, streaming, and MCP.
- Consumption Layer – Offers a consistent, secure interface for applications, developers, and agents.
Why it matters: The AI ecosystem is evolving too quickly for closed, black-box platforms. Enterprises need open, community-driven infrastructure that can adapt to new models, protocols, and architectures—ensuring AI adoption is both powerful and governable.
Learn how the AI Control Stack enables secure, governable, future-ready AI adoption.
Download the ebook for free.
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