OpenIndustrial Documentation
Menu

Autonomous Actions

Thinking Tip:

Status: Planned | Expected: Q3 2026

Autonomous Actions means pre-approved action patterns that execute within boundaries you define. Even automation is governed - the rules themselves require your approval.

What Autonomous Actions Means

Autonomous Actions extend the governance model to include pre-approved patterns. Instead of approving every individual action, you approve rules that define when actions should happen automatically.

How It Reinforces the Moat

ConcernHow Autonomous Actions Addresses It
"What if AI acts without me?"Rules require explicit approval
"What if automation goes wrong?"Boundaries are governance checkpoints
"What if I lose control?"Full audit trail of automated actions

"Nothing without approval" extends to automation itself. The rules are governed. The boundaries are yours.

Scheduled vs. Reactive Actions

Autonomous Actions will support two patterns:

Scheduled Actions

Actions that run on a schedule you define:

Rule: "Every morning at 6 AM, generate daily summary report"
Status: Approved by you
Audit: Complete history of executions

Reactive Actions

Actions that trigger when conditions are met:

Rule: "When temperature exceeds 80°F, notify ops team"
Condition: temperature > 80
Action: Send notification
Status: Approved by you
Audit: Complete history of triggers

The Approval Hierarchy

Level 1: Rule Approval You approve the rule itself: "When X happens, do Y."

Level 2: Boundary Definition You define constraints: "Only during business hours," "Only for temperature > 70 but < 100."

Level 3: Execution Audit Every automated action is logged with full context.

Example: Temperature Alert

Without Autonomous Actions (Today):

  1. Temperature exceeds threshold
  2. Azi proposes: "Send alert?"
  3. You approve
  4. Alert sent

With Autonomous Actions (Planned):

  1. You approve rule: "When temperature > 80, send alert to ops"
  2. Temperature exceeds threshold
  3. Alert sent automatically
  4. Full audit trail recorded

Governance Boundaries

Every autonomous action will have configurable boundaries:

Boundary TypeWhat It Controls
Time windowsWhen automation can run
Rate limitsHow often actions can fire
Value rangesConditions that must be met
Scope limitsWhich surfaces/connections
Override stopsManual kill switches

Benefits When Available

BenefitWhat It Means
Reduced alert fatigueRoutine actions don't require individual approval
Faster responseAutomated actions within approved boundaries
Complete auditEvery automated action is logged
Governed automationRules require explicit approval
Safe experimentationTest rules in limited scope before expanding

Why "Still Governed"

Competitors need AI to act autonomously - that's their business model. We need governance to scale - that's ours.

The difference:

  • Autonomous AI: AI decides what to do
  • Autonomous Actions: You decide the rules, AI executes within them

The governance promise remains: nothing happens without your approval. What changes is the level of approval - from individual actions to rule definitions.

Current Status

CapabilityStatus
Proposal-based governanceSHIPPED
Individual action approvalSHIPPED
Rule definitionPlanned
Scheduled executionPlanned
Reactive triggersPlanned
Boundary configurationPlanned

What You Can Do Today

While Autonomous Actions is planned, the governance foundation is working:

Thinking Tip:

Start with the governance loop today. Autonomous Actions will extend governance to rule-based automation when it ships.

On this page