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

Meaningful Human Control

Meaningful Human Control

Meaningful Human Control

A regulatory and operational standard ensuring that humans retain the ability to oversee, intervene in, and override AI decision-making processes.

A regulatory and operational standard ensuring that humans retain the ability to oversee, intervene in, and override AI decision-making processes.

Updated

In the context of Agentic AI, "control" does not necessarily mean a human must approve every single micro-decision, which would negate the speed benefits of automation. Instead, it refers to the design of the system: setting clear operational boundaries, ensuring the AI is transparent about its status as a machine, and implementing a functional "kill-switch" that allows a human operator to immediately halt the system if it deviates from its intended goals or safety parameters.

Example

A logistics company uses an autonomous AI scheduler to route delivery trucks in real-time. "Meaningful human control" is maintained not by a dispatcher approving every turn, but by a dashboard that allows the dispatcher to define "No-Go Zones" and instantly recall all trucks to the depot (the kill-switch) in the event of a severe weather alert or system malfunction.

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.