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

Artificial Intelligence Management System (AIMS)

Artificial Intelligence Management System (AIMS)

Artificial Intelligence Management System (AIMS)

A set of interrelated or interacting elements of an organization to establish policies, objectives, and processes for the responsible development or use of AI.

A set of interrelated or interacting elements of an organization to establish policies, objectives, and processes for the responsible development or use of AI.

Updated

An AIMS (as defined by ISO/IEC 42001) provides the governing structure for an organization's AI activities. It follows the Plan-Do-Check-Act (PDCA) cycle to ensure continuous improvement. Unlike a single policy, an AIMS integrates risk management, resource allocation, and performance evaluation into the corporate fabric to ensure AI remains ethical and compliant.

Example

A tech company implements an AIMS to centralize how every department, from HR to Product, approves new AI use cases and monitors them for performance drift.

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.