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

Governance Policy

Governance Policy

Governance Policy

A formal document that codifies rules, roles, and procedures for AI development and oversight within an organization.

A formal document that codifies rules, roles, and procedures for AI development and oversight within an organization.

Updated

A written, binding directive, approved by senior leadership, that outlines permissible AI activities, approval criteria for new projects, incident-reporting protocols, and enforcement mechanisms. Policies are version-controlled, published to all stakeholders, and integrated into training programs. They serve as the legal basis for governance enforcement and are periodically reviewed for relevance.

Example

A telecom operator’s AI Governance Policy mandates: all customer-facing AI must pass bias and privacy assessments, developers must complete ethics training, and any data breach triggers a 24-hour incident-report. The policy is distributed to all data-science teams and enforced via automated pipeline checks.

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.