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

Zero Defect Tolerance

Zero Defect Tolerance

Zero Defect Tolerance

A governance principle aiming for no errors or policy violations in AI outputs, supported by rigorous testing, monitoring, and continuous improvement cycles.

A governance principle aiming for no errors or policy violations in AI outputs, supported by rigorous testing, monitoring, and continuous improvement cycles.

Updated

A “no-tolerance” stance toward defects (accuracy lapses, bias incidents, security breaches) backed by multi-layered safeguards: exhaustive test suites, real-time monitoring with automated rollback, and root-cause analysis for even minor anomalies. Governance sets strict SLAs (e.g., 100% pass rate on critical QA tests), mandates immediate remediation of any defect, and fosters a culture of continuous improvement to uphold zero-defect standards.

Example

A financial AI that authorizes trades must pass a 100% compliance-test pass rate before each trading session. Any test failure, no matter how minor, triggers an automatic halt and rollback to the last known good version, followed by an immediate incident review and correction before resuming operations.

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.