01 / AI Governance Infrastructure
The control layerbetween AI intent and execution.
Every AI action is evaluated before it can affect systems, data, money, or users.
Currently accepting a limited number of Design Partners.
How it works
- Agent / SystemAI agent attempts an action
- AvermentEvaluates the action
- Allow · Caution · Review · Block
- OutcomeExecute, adapt, review, or block
02 / A real decision
Every action gets evaluated before it executes.
Describe an action in plain language. Averment evaluates intent, context, and risk before anything executes.
This is the signal your code receives, on every action.
averment.decide()
Request
Decision
Large-scale deletion affecting 4,500 accounts
Bulk action requires verification before execution
Operation may cause irreversible data loss
03 / Hybrid control
Automation when possible. Attention when necessary.
Averment returns one of four outcomes. You choose what happens for each: run it, hand it to a person, or let the agent try again.
Automation and people, together. You stay in control of the parts that matter.
An example setup
04 / Behavior intelligence
Define how AI decisions are governed.
Your policies. Your requirements. Your control. Averment lets you define organization-specific policies that influence how actions are evaluated and enforced.
- Policies
- Define organization-specific rules and governance requirements.
- Enforcement
- Control how decisions are handled after evaluation.
- Consistency
- Apply the same governance standards across every connected system.
05 / Orchestration
One control layer for every system.
Every service, agent, and pipeline routes its decisions through the same layer and gets the same enforcement everywhere.
Define your rules once. They apply consistently across everything you connect.
Every system, one layer
06 / Why Averment
Why Averment
- Automate More Work
- Safely automate more business processes without losing control.
- Govern AI Agents
- Apply consistent policies and approvals across agents and workflows.
- Prevent AI Misuse
- Reduce prompt injection, privilege escalation, and unauthorized actions.
- Use Any Model
- OpenAI, Claude, Gemini, open-source, or future models.
- Stay In Control
- You define the policies. Averment enforces them.
07 / Questions
Frequently asked questions
What is Averment?
Averment is an governance and control layer for autonomous systems. It evaluates actions before execution and determines how they should be handled.
Who is Averment for?
Businesses, organizations, teams, or individuals building AI agents, autonomous workflows, internal tools, and automated systems that take real-world actions.
Does Averment replace my AI model?
No. Your model decides what to do. Averment decides whether and how it should happen.
What decisions can Averment make?
Averment can return one of four outcomes: allow, caution, review, or block. You decide how each outcome is enforced.
What happens after a decision is returned?
Averment returns a decision signal. Your application decides how that signal is enforced, whether that means execution, review, adaptation, or intervention.
Can I use my own AI model?
Yes. Averment supports Bring Your Own LLM (BYOLLM), allowing you to use your preferred model while keeping decision-making and enforcement separate.
Why is access limited?
We're working closely with a small group of early users to validate real-world automation workflows before broader availability.