Architecture
One Control Plane for All Your AI Agents: Why Fragmented Governance Fails
When every team ships its own AI agent with its own API key and its own billing, IT has no view across the whole. Here is what a unified control plane changes.
Blog
Enterprise AI Governance
Thinking from the Airia team on prompt routing, data policy, and cost attribution for enterprise AI agents.
Cost Management
Finding Shadow LLM Spend Before the Bill Arrives
Three IT teams at three different companies discovered their AI API spend the same way: by opening an invoice. This is how you catch it earlier.
Governance
AI Governance in the Enterprise: What IT Teams Are Actually Doing
The gap between governance policy documents and actual technical enforcement is where the real risk lives. Here is what controls are working in practice.
Cost Management
Token Cost Attribution: Giving Finance the Breakdown They Keep Asking For
Which team owns that $63,000 OpenAI charge? If your answer is a spreadsheet and two guesses, you need per-team token attribution built into the routing layer.
Architecture
Prompt Routing in Enterprise LLM Deployments: Cost, Latency, and Fallback
Not every prompt needs GPT-4. Routing lower-complexity requests to smaller models can cut costs by 60 percent without changing the output quality your users notice.
Security
Enforcing Data Policy for AI Agents: What Happens Before the Prompt Leaves
Customer PII, internal documents, regulated data: AI agents see all of it in the course of a normal workday. Policy enforcement at the routing layer is the only reliable interception point.
Governance
AI Agent Sprawl: How Enterprise IT Lost Track and What to Do About It
In 18 months, a mid-size company went from two approved AI tools to 47 autonomous agents running under individual developer API keys. This is how it happens and how it stops.
Business
Measuring AI ROI: What IT Teams Can Actually Show the CFO
Productivity gains are hard to attribute. Cost savings are not. Here is how to build a monthly AI spend report that finance can actually read.
Architecture
LLM Vendor Diversity: Why Single-Vendor AI Is a Risk You Can Manage
When your AI agents depend on one vendor's API, an outage stops every workflow at once. Routing-layer vendor diversity is the infrastructure answer.
Architecture
AI Orchestration vs AI Integration: Why the Distinction Matters for IT
Plugging an LLM into a workflow is integration. Governing how all your LLMs behave across all your workflows is orchestration. IT teams need the second one.
Security
Applying Zero-Trust Principles to AI Agents in the Enterprise
Every AI agent should be treated as an untrusted endpoint until it proves its request is within scope. Here is how zero-trust architecture maps onto an AI control plane.