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

Oversight

Oversight

Oversight

The structured process of review, approval, and accountability for AI development and deployment, typically involving cross-functional governance bodies.

The structured process of review, approval, and accountability for AI development and deployment, typically involving cross-functional governance bodies.

Updated

A multi-phase governance mechanism: project proposal review, risk and ethics assessment, security and compliance sign-off, and post-deployment audits. Oversight bodies (AI councils, ethics boards) apply standardized criteria, maintain decision logs, and escalate unresolved issues. Governance workflows define roles, approval SLAs, and documentation standards to ensure transparent accountability at each stage.

Example

A social-media company’s AI Ethics Board reviews every new content-recommendation algorithm. Teams submit impact assessments, ethics checklists, and test results. The board approves only after confirming alignment with community-safety policies, logging its decision and conditions for deployment in the corporate governance portal.

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.