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

Governance Scorecard

Governance Scorecard

Governance Scorecard

A dashboard or report card that tracks key metrics (e.g., bias incidents, compliance audits) to measure AI governance effectiveness over time.

A dashboard or report card that tracks key metrics (e.g., bias incidents, compliance audits) to measure AI governance effectiveness over time.

Updated

Consolidates quantitative KPIs (e.g., average audit findings per model, percentage of projects with ethics sign-off, mean time to incident resolution) and qualitative assessments (board satisfaction, user trust surveys) into a visual scorecard. Scorecards inform governance bodies, expose gaps, and highlight areas for targeted improvement.

Example

A financial-services firm publishes a quarterly AI Governance Scorecard showing: 100% of new models passed privacy-impact assessments; bias incidents dropped by 20%; average incident-resolution time fell from 14 to 7 days, providing the board with clear visibility on governance progress.

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.