Document Type: Framework
Status: Structural
Version: v1.0
Authority: HeadOffice
Applies To: All MWMS Brains, Automation Brain, AI Employees, system workflows
Parent: Operations Brain Canon
Last Reviewed: 2026-04-20
Purpose
The Operations Brain Dependency Coordination Framework defines how relationships between tasks, Brains, and workflow stages are stabilised.
Many MWMS workflows depend on prior outputs.
If dependencies are unclear, execution instability increases.
Unclear dependencies create:
blocked workflows
repeated work
sequencing errors
decision delays
unreliable outputs
Structured dependency coordination ensures:
correct execution order
stable workflow progression
clear task readiness
reduced operational friction
Dependency clarity improves overall system reliability.
Scope
This framework applies to:
multi-stage workflows
cross-Brain task coordination
automation workflows
AI execution pipelines
sequential decision environments
data-dependent processes
This framework governs:
how task dependencies are identified
how prerequisite outputs are defined
how execution readiness is determined
how dependency clarity supports workflow stability
This framework does not govern:
decision authority logic by itself
statistical validation logic by itself
capital approval logic by itself
These remain governed by:
HeadOffice
Experimentation Brain
Finance Brain
Definition
A dependency exists when a task requires an input produced by another task or Brain.
Examples:
Content Brain requires topic signals from Research Brain.
Conversion Brain requires messaging structure from Creative Brain.
Sales Brain requires qualified leads from PPL Brain.
Partnership Brain requires validated offer structure from Offer Brain.
Dependency coordination ensures tasks activate only when required inputs are available.
Clear dependencies prevent premature execution.
Premature execution increases error probability.
Core Dependency Types
Input Dependency
Task requires information created earlier.
Examples:
Research signals required before content creation.
Audience definition required before ad creation.
Clear input dependencies improve output quality.
Structural Dependency
Task requires defined framework structure before execution.
Examples:
Offer structure defined before sales progression design.
Conversion structure defined before traffic scaling.
Structural dependencies ensure logical sequence.
Signal Dependency
Task requires validated signals.
Examples:
Data Brain validation before Experimentation Brain test design.
Performance signals required before optimisation decisions.
Signal dependencies improve decision accuracy.
Approval Dependency
Task requires authorisation from governance layer.
Examples:
Finance Brain approval before scaling budget.
HeadOffice approval before structural change.
Approval dependencies preserve authority boundaries.
Dependency Visibility
Dependencies must remain visible.
Visibility supports:
workflow clarity
execution predictability
resource allocation stability
Hidden dependencies create unexpected delays.
Visible dependencies improve planning accuracy.
Dependency Failure Patterns
Common dependency failures include:
starting tasks before required inputs exist
missing prerequisite signals
unclear readiness conditions
duplicate upstream work creation
dependency conflicts between Brains
Dependency failures increase operational friction.
Dependency failures reduce execution speed.
Dependency failures increase correction workload.
Dependency Coordination Signals
Dependencies may be indicated through:
task readiness status
signal validation state
approval status
data availability
framework completion state
Dependency signals improve sequencing reliability.
Relationship to Other MWMS Frameworks
Operations Brain Task Handoff Framework
defines transfer of responsibility.
Dependency Coordination Framework defines readiness requirements before transfer.
Operations Brain Execution Reliability Framework
ensures output reliability.
Dependency clarity supports reliable output generation.
Automation Brain Dependency Visibility Framework
supports automation readiness logic.
Dependency Coordination Framework supports consistent workflow sequencing.
Experimentation Brain Structured Testing Protocol
requires validated signals before testing begins.
Dependency coordination ensures signal readiness.
Governance Role
Operations Brain governs workflow stability across system layers.
Dependency Coordination Framework ensures workflows activate only when prerequisites are satisfied.
Dependencies must remain:
visible
structured
traceable
consistent
Dependencies must not rely on assumption.
Dependencies must not create hidden workflow fragility.
Drift Protection
The system must prevent:
execution without prerequisite inputs
tasks starting before required signals exist
duplicate upstream work creation
hidden dependencies causing delays
dependency conflicts between Brains
Dependency clarity improves execution predictability.
Predictability improves scalability stability.
Architectural Intent
Operations Brain Dependency Coordination Framework ensures MWMS workflows maintain logical sequencing across multi-Brain environments.
Clear dependency structure improves:
execution reliability
decision clarity
workflow efficiency
system stability
Dependency clarity reduces friction as system complexity increases.
Change Log
Version: v1.0
Date: 2026-04-20
Author: HeadOffice
Change:
Initial creation of structured dependency coordination framework.
Defines how prerequisite relationships between tasks and Brains are identified and stabilised.
Supports predictable sequencing and reduces workflow fragility.