What is ΔOS?

ΔOS (DeltaOS) is autonomy governance infrastructure. It applies deterministic policy evaluation to agent-initiated actions before they execute, producing auditable judgment records and observable value attribution.

The Problem ΔOS Solves

AI agents are taking actions in production systems. These actions are currently:

• Ungoverned: No systematic policy evaluation
• Unaudited: Scattered decision trails
• Unquantified: Unknown risk and value

ΔOS provides the infrastructure to govern these actions systematically.

How ΔOS Works

1. Intent Submission: An agent requests to take an action
2. Evidence Collection: ΔOS gathers relevant context
3. Policy Evaluation: Deterministic rules evaluate the intent
4. Judgment: Allow, block, or escalate to human
5. Audit: Every decision is recorded with full context
6. Value Attribution: Impact is measured and attributed

What Makes ΔOS Different

Core Principles

1. Governance Before Execution

ΔOS evaluates policy before an agent acts. This is not monitoring—it's a gate.

2. Deterministic Decisions

The same inputs always produce the same judgment. Decisions are replayable and verifiable.

3. Human Authority Preserved

Humans can always override. The kill switch is always available. Escalation paths are always open.

4. Conservative Value Attribution

We attribute value to governance decisions with explicit confidence bands. We never claim ROI—we show observable impact.

Getting Started

• Evaluators: See Quickstart for Evaluators
• Developers: See Developer Quickstart
• Understanding Concepts: See Core Concepts