Intent Classification
Understanding What AI Agents Intend To Do —
Not Just Who They Are
Permission systems see “POST /api/deploy.” Intended sees a proposed production deployment with a risk score, confidence level, and domain context. That difference changes everything.
Try It
Classify an AI agent action
Type any action an AI agent might take — or click an example below. See how Intended parses raw requests into structured, governable intent.
The Problem
Blind authorization is not authorization
Traditional Permission Check
No context. No risk assessment. No domain understanding. Just a binary allow/deny based on identity.
Intended Intent Analysis
Full context. Risk-aware. Domain-specific governance that understands what the agent is doing, not just who it is.
How It Works
From raw action to structured intent
Every AI agent action passes through the Intent Compiler, which extracts domain, action type, risk level, and confidence — in milliseconds before authority is granted.
Action submitted
AI agent sends a raw request: POST /api/deploy
Intent compiled
The Intent Compiler parses the request into a structured intent with domain context.
Risk & confidence scored
Domain pack rules assign a risk score and classification confidence.
The Taxonomy
306 intents across 14 domains
The Open Intent Layer covers every class of action an AI agent might take across enterprise systems. Hover over a domain to explore its intent space.
Software Development
Financial Operations
Data Operations
Security Operations
Identity & Access
Infrastructure
Communications
Compliance
IT Operations
Customer Operations
HR & People
Legal & Contracts
Supply Chain
General Operations
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