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

Qualitative Assessment

Qualitative Assessment

Qualitative Assessment

The subjective review of AI system behaviors, decisions, and documentation by experts to identify ethical, legal, or reputational concerns not captured quantitatively.

The subjective review of AI system behaviors, decisions, and documentation by experts to identify ethical, legal, or reputational concerns not captured quantitatively.

Updated

Complements quantitative metrics with expert judgment (ethics panels, legal reviews, user-experience studies) to uncover issues like cultural insensitivity, deceptive UX patterns, or legal ambiguities. Governance embeds qualitative assessments at key milestones (design, pilot, post-release), documents findings in review reports, and tracks remediation actions to address narrative or contextual risks beyond what metrics capture.

Example

During design of a facial-recognition tool, a panel of legal and civil-rights experts conducts a qualitative assessment, identifying potential misuse for unauthorized surveillance. Based on their feedback, the vendor adds explicit user-consent flows and strict audit-logging, rather than relying solely on accuracy and bias metrics.

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.