Service · Architecture
AI Architecture
Reference architecture and an AI control plane that the rest of the enterprise can rely on — for retrieval, agents, model gateways, identity, and observability.
The problem
Why this work exists.
Many enterprises have stood up AI tools without standing up an AI architecture. Each team picks its own model, its own connectors, its own data path, and its own pattern. The result is a sprawl of shadow AI, with no shared control plane, no shared security, and no shared way to evaluate what is actually happening.
That is fine for a pilot. It is unsustainable for the enterprise.
Why it matters
What is at stake.
AI is now a platform decision, not just a vendor decision. Architecture determines what can be secured, what can be governed, what can be reused, and what can be rolled back. Without it, every new use case re-introduces the same risks.
A real AI architecture treats models, agents, data access, and identity as a single system — not as a collection of point tools.
How MXP helps
What we do in this engagement.
- Design the enterprise AI reference architecture and control plane
- Define the model gateway, evaluation, observability, and routing layer
- Establish patterns for retrieval, knowledge, and permissioned data access
- Design the agent runtime, tool registry, and human-in-the-loop pattern
- Align the architecture to identity, security, and governance from day one
- Plan the platform build and the operating team that will run it
Typical deliverables
What you walk away with.
- Enterprise AI reference architecture with security and governance baked in
- AI control plane design — gateway, registry, evaluation, observability
- Retrieval and knowledge architecture, with permissioning and auditability
- Agent runtime and tool architecture aligned to identity and access policy
- Implementation roadmap for the AI platform team and partners
- Decision framework for build vs. buy across the AI stack
Engagement approach
How it runs.
Architecture engagements are typically 6–12 weeks, partnered with the platform, security, and AI program leadership. We deliver architecture, decision frameworks, and a sequenced build plan — not vendor pitches.
We are deliberately model- and vendor-pragmatic; the architecture survives changes in models and vendors.
Ready to make this real?
Most enterprises start with a focused diagnostic engagement. We'll show you the gaps and the path.