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

High-Stakes AI

High-Stakes AI

High-Stakes AI

AI applications whose failures could cause significant harm (e.g., medical diagnosis, autonomous vehicles), requiring heightened governance and oversight.

AI applications whose failures could cause significant harm (e.g., medical diagnosis, autonomous vehicles), requiring heightened governance and oversight.

Updated

Systems where errors can lead to physical injury, financial ruin, or societal harm. High-stakes AI demands complete governance rigor: impact and risk assessments, formal verification or clinical trials, human-in-the-loop controls, and real-time monitoring. Certification and regulatory approval (FDA, FAA, EU AI Act) are typically required before deployment, and ongoing compliance audits are mandated.

Example

An autonomous-drone inspection service for power lines is classified as high-stakes. Governance protocols require flight-simulator testing, formal safety-case documentation, mandatory human-operator remote-override controls, and quarterly safety audits before authorizing any live inspection missions.

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.