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

Controllability

Controllability

Controllability

The extent to which humans can direct, influence, or override the decisions and behaviors of an AI system.

The extent to which humans can direct, influence, or override the decisions and behaviors of an AI system.

Updated

Describes the degree of human–AI interaction points, from adjustable parameters (e.g., risk thresholds) to kill switches and override workflows. High controllability is crucial in high-stakes domains (healthcare, finance), ensuring that operators can intervene when AI outputs conflict with policy or ethics.

Example

In an automated loan-approval pipeline, under-writable controls allow risk officers to manually adjust application scores. If the AI recommends denial but an officer identifies extenuating circumstances, they can override the decision, triggering a mandatory review log entry for audit purposes.

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.