The Multi-Model Governance Challenge

Your enterprise uses Claude, GPT-4, and Gemini. But whose governance tools are you using? And what are they missing?

Enterprise AI has moved beyond single-provider deployments. Most organizations now use multiple AI providers—Claude for analysis, GPT-4 for content, Gemini for multimodal tasks, open-source models for cost-sensitive workloads.

This creates a governance gap that provider-native tools can't address.

The Provider Visibility Problem

Anthropic's console shows you Claude usage. OpenAI's dashboard shows you GPT usage. Google's monitoring shows you Gemini usage. But none of them show you the complete picture.

When a compliance auditor asks 'show me all AI decisions that affected customer outcomes last quarter,' you're stitching together exports from four different systems—assuming they even capture the same data points.

Provider-Independent Oversight

CleanAim® sits between your application and all AI providers, capturing every interaction in a unified format. Switch from Claude to GPT? Same audit trail. Add Gemini? Same governance layer.

This isn't just convenience—it's a compliance requirement. The EU AI Act doesn't care which provider you use. It cares that you can demonstrate oversight across all of them.