Document Type: Framework
Status: Structural
Version: v1.0
Authority: HeadOffice
Parent: Automation Brain Canon
Applies To: Automation Brain
Last Reviewed: 2026-04-16
Purpose
The Dependency Visibility Framework defines how relationships between automation components remain identifiable, interpretable, and maintainable across MWMS.
Automation relies on dependencies.
Hidden dependencies introduce fragility.
Fragile systems produce:
unexpected automation failure
broken workflow continuity
silent data errors
difficult troubleshooting conditions
unstable execution environments
Visible dependencies improve:
maintenance clarity
execution reliability
troubleshooting speed
system stability
Automation Brain ensures dependency relationships remain interpretable as system complexity increases.
Dependency clarity protects automation reliability.
Scope
This framework governs:
data dependencies
tool dependencies
API dependencies
process dependencies
signal dependencies
workflow dependencies
This framework applies to:
multi-step automation workflows
AI orchestration pipelines
cross-system integrations
data processing automations
trigger-dependent workflows
hybrid human-AI execution environments
This framework does not govern:
trigger logic structure
workflow sequencing logic
execution validation logic
behavioural interpretation logic
Those remain governed by other Automation Brain frameworks.
Definition
Dependencies describe relationships between automation components required for successful execution.
Dependencies may include:
data availability
system state
tool availability
workflow completion
signal readiness
Unclear dependencies reduce execution reliability.
Clear dependencies improve maintainability and stability.
Dependency Categories
Data Dependencies
automations rely on data availability.
Examples:
database records
API responses
signal inputs
classification outputs
Missing data dependencies create incomplete execution.
Tool Dependencies
automations rely on software tools or services.
Examples:
API services
automation platforms
databases
AI services
Unavailable tools interrupt workflow continuity.
Workflow Dependencies
automations rely on completion of previous processes.
Examples:
task completion
data preparation
classification completion
signal calculation
Workflow clarity improves sequencing reliability.
Signal Dependencies
automations rely on signals meeting defined conditions.
Examples:
threshold conditions
classification signals
decision signals
Signal clarity improves trigger reliability.
State Dependencies
automations rely on system state conditions.
Examples:
status values
stage completion
environment readiness
State clarity improves execution reliability.
Dependency Visibility Structure
Dependency Identification
all dependencies must be identifiable.
unidentified dependencies create hidden failure risk.
Dependency Documentation
dependencies must remain documented.
documentation improves maintainability.
Dependency Relationship Clarity
relationships between components must remain interpretable.
relationship clarity improves troubleshooting speed.
Dependency Impact Visibility
impact of dependency failure must remain visible.
impact clarity improves system resilience.
Dependency Change Awareness
changes to dependencies must remain observable.
untracked changes introduce instability.
Dependency Visibility Principles
Principle 1 — visibility improves reliability
visible dependencies improve system trust.
Principle 2 — hidden dependencies create fragility
fragile systems reduce scalability.
Principle 3 — documentation improves maintainability
documented relationships improve system continuity.
Principle 4 — dependency clarity improves troubleshooting speed
clear structure improves recovery capability.
Principle 5 — controlled dependency evolution improves stability
structured change improves reliability.
Dependency Model
trigger condition
↓
dependency validation
↓
workflow execution
↓
tool interaction
↓
data interaction
↓
state update
↓
signal output
↓
HeadOffice visibility
Clear dependency structure improves execution continuity.
Relationship to Other Automation Brain Frameworks
Trigger Logic Framework
determines when workflows initiate
Workflow Sequencing Framework
determines order of automated steps
Execution Reliability Framework
ensures automated processes produce predictable outcomes
Automation Stability Framework
ensures automation remains reliable across time
Monitoring and Maintainability Framework
ensures automation behaviour remains observable and adaptable
Output
The Dependency Visibility Framework ensures:
interpretable relationships between automation components
improved troubleshooting clarity
improved workflow reliability
improved system maintainability
improved automation stability
Change Log
Version: v1.0
Date: 2026-04-16
Author: HeadOffice
Change:
Initial Dependency Visibility Framework created.
Defined structured model for maintaining visibility of automation relationships and dependencies.
Aligned framework with MWMS Architecture Registry Layer 6 Operational Infrastructure.