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

Intent Validation

Intent Validation

Intent Validation

The process of verifying that an AI agent's planned sub-actions remain consistent with the original human-provided objective.

The process of verifying that an AI agent's planned sub-actions remain consistent with the original human-provided objective.

Updated

In a multi-step reasoning chain, an agent can experience Goal Drift. Intent validation acts as a secondary check-sum that evaluates each intermediate step against the high-level mission. If the agent's plan involves an action that doesn't align with the original goal (e.g., trying to access payroll data while searching for a flight), the action is blocked.

Example

A procurement agent plans to buy 50 laptops. Before the purchase API is called, the Intent Validation layer confirms that Buying Laptops matches the original human instruction to Replenish IT hardware.

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.