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

Questionnaire Framework

Questionnaire Framework

Questionnaire Framework

A structured set of governance-focused questions used during design, procurement, or deployment to ensure AI systems align with policy requirements.

A structured set of governance-focused questions used during design, procurement, or deployment to ensure AI systems align with policy requirements.

Updated

A templated checklist (covering data sources, privacy considerations, fairness protections, security controls, and compliance obligations) that AI teams complete at project initiation. Questionnaires ensure consistent risk assessments, uncover gaps early, and drive alignment to organizational standards. Responses feed into automated scoring tools or governance dashboards, triggering additional reviews when high-risk answers are flagged.

Example

A bank requires all AI vendors to complete a procurement questionnaire: “Do you store data in EU-only data centers?” “Have you conducted a bias audit?” “Describe your incident-response process.” Only vendors who answer satisfactorily proceed to pilot, ensuring upfront governance alignment and reducing downstream surprises.

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.