Model Governance

Your company decides which AI models are allowed

Overview

Approve specific models, control which are available to your team, set per-user spending limits, and switch anytime. No vendor lock-in.

The Problem

Employees use whatever AI model they find. Some use ChatGPT, some use Claude, some use free tools with no data protection. No one controls which models touch company data. No cost visibility. No way to switch providers without breaking everything.

How Orin Handles It

Approved Model List

Admins define which AI models are approved for the organization. Claude, GPT, Gemini, open-source. Only approved models are available to users.

Admin-Controlled Availability

Admins control which models are available across the organization. Users select from the approved list. Different teams can have different model access.

Spending Controls

Per-user and per-department spending caps. Real-time cost tracking. Know exactly where AI budget is going. No surprise bills.

No Vendor Lock-In

Switch between AI providers anytime. Your workflows, your data, your permissions stay the same. The model underneath changes, nothing else does.

Supported Models

Claude

Anthropic

GPT

OpenAI

Gemini

Google

Open Source

Any model

Why This Matters

AI models improve fast. Today's best model might not be tomorrow's. Orin lets you switch without rebuilding anything.

Different tasks need different models. Giving teams access to the right models saves money and improves results.

Sensitive data should only go to approved models. Model governance ensures company data stays within boundaries you define.

See model governance in action

We'll show you spending controls and approved model management live.

Request a Demo