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

Recourse

Recourse

Recourse

Mechanisms that allow affected individuals to challenge or seek remedy for AI-driven decisions that impact their rights or interests.

Mechanisms that allow affected individuals to challenge or seek remedy for AI-driven decisions that impact their rights or interests.

Updated

Institutional processes (appeal workflows, human-review channels, automated explainers) that enable users to dispute AI outcomes (e.g., loan denials, content takedowns). Recourse governance defines SLA for appeal resolution, required transparency in outcome explanations, and metrics on recourse effectiveness (e.g., percentage of overturned decisions), ensuring organizations respect affected parties’ rights and improve AI accountability.

Example

A credit bureau’s AI-based scoring portal provides applicants with an explanation of why they were denied and a “Request Review” button. Within five business days, a human underwriter reevaluates the case, offers corrections if warranted, and updates the applicant, meeting the organization’s recourse-policy commitments.

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.