Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

Glossary

Model Card

Model Card

Model Card

A short, standardized document providing essential information about a machine learning model's performance, limitations, and intended use cases.

A short, standardized document providing essential information about a machine learning model's performance, limitations, and intended use cases.

Updated

Think of a Model Card as a nutrition label for AI. It typically includes accuracy benchmarks across different demographic groups, descriptions of the training data, and explicit warnings about out-of-scope use cases. For third-party AI, it is the primary evidence a deployer uses to satisfy transparency requirements under the EU AI Act.

Example

A vendor providing a customer sentiment analyzer gives the buyer a Model Card showing the system is 95% accurate for English but only 60% for regional dialects, prompting the buyer to implement extra human review for those regions.

Govern the AI you actually use.

Govern the AI you actually use.

Govern the AI you actually use.

Start with what’s in use.

Start with what’s in use.

Start with what’s in use.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.