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Runtime Governance Principles

This chapter defines the core design principles of Atlas Runtime Governance™.

These principles dictate how Atlas collects evidence, organizes investigation workflows, and constructs a continuously compounding runtime governance system.

Principle 1: Evidence First

Runtime investigations must be built upon runtime evidence.

Atlas prioritizes collecting and organizing:

  • Runtime Dataset
  • Runtime Timeline
  • Runtime Event
  • Evidence Pack

Investigations should be grounded in objective evidence, rather than empirical speculation.

Principle 2: Standardized Investigation

Every Runtime Investigation should adopt a unified workflow.

Runtime Event
        │
        ▼
Evidence Pack
        │
        ▼
Historical RGA Recall
        │
        ▼
Investigation
        │
        ▼
IR
        │
        ▼
LL
        │
        ▼
Ticket Closure

A standardized workflow lowers team collaboration costs and improves investigation efficiency.

Principle 3: Historical Knowledge Reuse

Atlas transforms historical investigation results into Runtime Governance Assets (RGA).

When a new investigation begins, Historical RGAs should be retrieved first.

This enables engineering teams to:

  • Reduce repetitive troubleshooting
  • Reuse accumulated experience
  • Shorten issue localization time

Investigations should begin with organizational knowledge, rather than starting from scratch.

Principle 4: Separation of Responsibility

Responsibilities are clearly separated between Atlas and engineering teams.

Atlas is responsible for:

  • Runtime Observation
  • Evidence Collection
  • Evidence Organization
  • Historical Recall
  • Investigation Workflow

Engineering teams are responsible for:

  • Issue Analysis
  • Root Cause Confirmation
  • Fix Solutions
  • Software Releases

Atlas provides the foundation for investigation, rather than replacing engineering decisions.

Principle 5: Continuous Knowledge Growth

The conclusion of an investigation is not the end of the process.

Every completed Investigation produces:

  • Investigation Result (IR)
  • Lesson Learned (LL)
  • Updated RGA

These outputs continuously flow into the organizational knowledge repository for future reuse.

Organizational capability grows continuously with every investigation.

Principle 6: Runtime Boundary Focus

Atlas focuses strictly on the runtime boundary.

The governance boundary includes:

Sensor
    │
Power / Bus
    │
Linux Runtime
    │
Driver
    │
ROS Topic

Atlas is NOT responsible for:

  • SLAM
  • Navigation
  • Motion Planning
  • AI Models
  • Business Logic

Maintaining clear boundaries reduces system complexity and preserves the consistency of investigation results.

Principle 7: Open Integration

Atlas does not require replacing existing development tools.

Atlas works collaboratively with existing systems, such as:

  • ROS2
  • Linux
  • GitHub
  • CI/CD
  • OEM Investigation Systems
  • Sensor Manufacturer Workflows

Atlas concentrates on runtime governance rather than application frameworks.

Summary

Atlas Runtime Governance is established upon the following seven principles:

  1. Evidence First
  2. Standardized Investigation
  3. Historical Knowledge Reuse
  4. Separation of Responsibility
  5. Continuous Knowledge Growth
  6. Runtime Boundary Focus
  7. Open Integration

Together, these principles ensure:

  • Standardized investigation workflows
  • Continuous accumulation of organizational knowledge
  • Clear engineering responsibilities
  • Well-defined system boundaries
  • Long-term support for robot runtime governance

Next Reading

Products​

  • Runtime Sensor Governance™
  • Runtime Investigation™