AI Autonomy Levels Framework | 4-Stage Decision Automation by SAND

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Built for accountable autonomy.

Every Sand deployment begins at a level appropriate to the operator’s risk tolerance, data maturity, and regulatory environment.

Score a decision class

How would Symmetri handle your decision?

Adjust the four scoring dimensions below to see how Symmetri would classify a given decision class within the framework. The recommended automation level updates in real time as you change the inputs.

Decision parameters

Consequence Severity: Minor (3)

Worst-case outcome if the system acts incorrectly. Trivial → Catastrophic.

Model Confidence: Low (3)

Validated accuracy of the consequence model for this decision class right now.

Reversibility: Moderate (3)

Whether the action can be undone within an operationally acceptable window.

Decision Frequency: Moderate (3)

How often this decision occurs across the operational lifecycle.

Recommended automation level:

Human Required

Symmetri provides situational awareness only. No automated action under any circumstances.
Why: Moderate severity allows up to Supervised Automation provided confidence is sufficient. Current model confidence is below the threshold to reach that ceiling, so the gate restricts this class to Human Required.

The four automation levels

Each decision class lives at one of four levels.

Full Automation

System acts without human review

Action is executed directly. Outcomes are logged and audited downstream. Reserved for decision classes where the worst-case outcome is recoverable and the system has demonstrated sustained accuracy.

Requirements before deploying

Typical decisions

Supervised Automation

System executes, supervisor watches

Symmetri executes the action while a human supervisor has real-time visibility and one-click override at all times. The override window is technically enforced, not policy alone.

Requirements before deploying

Typical decisions

Human-in-the-Loop

System recommends, human approves

Symmetri generates a ranked recommendation with full reasoning. A human reviews and approves before any action. The recommendation expires if not actioned within the approval SLA.

Requirements before deploying

Typical decisions

Human Required

System informs, human decides

Symmetri provides situational awareness and consequence modelling as briefing material only. No automated action under any circumstances. Used for high-consequence, irreversible decisions.

Requirements before deploying

Typical decisions

The four scoring dimensions

Every decision class is scored against four dimensions.

Dimension 01, Primary ceiling-setter

Consequence Severity

Worst-case outcome if the system acts incorrectly on this decision class.

Trivial → Catastrophic

Catastrophic severity = Human Required regardless of model accuracy.

Dimension 02, Primary gate

Model Confidence

How accurately the Consequence Model predicts outcomes for this decision class right now.

Unvalidated → Validated ≥85%

No class advances beyond Human-in-the-Loop until confidence ≥75% is validated.

Dimension 03, Ceiling modifier

Reversibility

Whether the action can be undone within an operationally acceptable window.

Permanent → Minutes to reverse

Low-severity but irreversible decisions are treated as higher severity.

Dimension 04, Efficiency multiplier

Decision Frequency

How often this decision occurs across the operational lifecycle.

Rare (annual) → Continuous

High frequency strengthens the automation case but does not lower the safety bar.

Worked examples

How real decisions land within the framework.

Across the domains where Symmetri is deployed, decision classes vary widely in their consequence profile. The same platform handles a routine burst alert and a multi-million-dollar capital decision, but they sit at very different automation levels.

Decision Classes Overview

Decision class Severity Reversibility Frequency Level
Burst event detection alert Low Quick to reverse Frequent Full Automation
Demand forecast report generation Trivial Minutes to reverse Continuous Full Automation
Pressure zone valve adjustment Moderate Moderate Moderate Supervised Automation
Capital maintenance prioritisation High Permanent Occasional Human-in-the-Loop
Emergency network isolation Catastrophic Hard to reverse Rare Human Required
DECISION CLASS SEVERITY REVERSIBILITY FREQUENCY LEVEL
Stock-out risk alert to supply chain Low Minutes to reverse Frequent FULL AUTOMATION
Facility capacity utilisation report Trivial Minutes to reverse Continuous FULL AUTOMATION
Patient pathway escalation flag Moderate Moderate Moderate SUPERVISED AUTOMATION
Procurement order for essential drugs High Hard to reverse Moderate HUMAN-IN-THE-LOOP
National programme budget reallocation Catastrophic Permanent Rare HUMAN REQUIRED
DECISION CLASS SEVERITY REVERSIBILITY FREQUENCY LEVEL
Network fault consequence prediction Low Minutes to reverse Continuous FULL AUTOMATION
Traffic rerouting in congestion event Moderate Quick to reverse Frequent SUPERVISED AUTOMATION
NOC escalation trigger Moderate Quick to reverse Moderate SUPERVISED AUTOMATION
Infrastructure decommission recommendation High Permanent Rare HUMAN-IN-THE-LOOP
CapEx investment prioritisation Catastrophic Permanent Rare HUMAN REQUIRED

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