Document Type: Standard
Status: Active
Version: v1.0
Authority: HeadOffice
Parent: MWMS Brain Connector Architecture
Applies To: All Brains
Last Reviewed: 2026-04-21
Purpose
MWMS Standard Cross Brain Flow defines the canonical structure used when one Brain sends a structured request to another Brain.
It ensures all cross-brain movement:
remains traceable
maintains authority clarity
preserves decision lineage
supports consistent routing logic
enables future Supabase implementation
enables Brain Room task automation
Without a standard flow structure, cross-brain communication becomes inconsistent, difficult to track, and difficult to automate.
This page defines the minimum structure required for stable cross-brain coordination.
Scope
This standard applies to:
Brain-to-Brain requests
cross-brain signal routing
cross-brain decision dependencies
multi-brain evaluation flows
HeadOffice visibility interpretation
future AI employee task routing
Supabase routing structures
Brain Room structured tasks
This standard does not define:
how each Brain internally performs analysis
how each Brain internally stores intelligence
how dashboards render signals
statistical methods
capital allocation rules
Those remain governed by each Brain’s Canon and Framework structure.
Core Principle
Every cross-brain interaction must:
identify origin
identify destination
define signal meaning
define decision requirement
define confidence posture
define escalation conditions
define lineage
Cross-brain flows must remain interpretable by:
humans
AI employees
HeadOffice governance layer
future automation layers
Standard Cross Brain Request Structure
Each cross-brain request must contain the following fields:
1. Request Origin Brain
Identifies where the signal originates.
Examples:
Research Brain
Affiliate Brain
Ads Brain
Experimentation Brain
Finance Brain
Customer Brain
Data Brain
2. Destination Brain
Identifies which Brain is responsible for the next interpretation step.
Destination must be a valid Brain defined in MWMS Architecture Registry.
Examples:
Affiliate Brain
Experimentation Brain
Finance Brain
HeadOffice
3. Request Type
Defines the structural nature of the request.
Examples:
Opportunity evaluation
experiment validation
capital readiness evaluation
signal clarification
decision support request
risk review request
signal enrichment request
routing clarification request
4. Signal Type
Defines the classification of signal being transmitted.
Examples:
opportunity signal
behavioural signal
performance signal
statistical signal
confidence signal
financial exposure signal
risk signal
dependency signal
alignment signal
5. Signal Confidence Level
Defines how reliable the originating Brain considers the signal.
Examples:
low confidence
emerging signal
moderate confidence
strong signal
validated signal
Confidence definitions remain governed by:
Experimentation Brain
Data Brain
Research Brain
6. Decision Requirement
Defines what type of decision is expected from the destination Brain.
Examples:
evaluate viability
validate test structure
confirm statistical sufficiency
confirm capital exposure tolerance
approve progression
reject progression
request additional signal
route to alternative Brain
7. Dependency Requirements
Identifies prerequisite conditions required before decision progression can occur.
Examples:
sufficient signal density
defined hypothesis structure
measurement integrity confirmation
tracking readiness confirmation
capital availability confirmation
compliance review completion
dependencies must be explicitly visible.
Hidden dependencies create structural instability.
8. Escalation Conditions
Defines when the request must be escalated beyond the destination Brain.
Examples:
signal conflict detected
insufficient confidence
capital exposure risk
dependency unresolved
structural ambiguity detected
governance interpretation required
Escalations typically route to:
Finance Brain
SIT Brain
HeadOffice
9. Capital Sensitivity Flag
Indicates whether the decision may influence capital exposure.
Values:
yes
no
unknown
If yes, Finance Brain visibility may be required.
10. Experiment Requirement Flag
Indicates whether structured testing is required before progression.
Values:
experiment required
experiment optional
experiment not required
Experimentation Brain maintains authority over test validation.
11. Lineage Reference
Defines where the request sits in the broader decision pathway.
Examples:
Research → Affiliate
Affiliate → Experimentation
Experimentation → Finance
Finance → HeadOffice
Lineage enables:
decision traceability
signal interpretation context
dashboard clarity
historical learning continuity
Canonical Reference Flow
Example baseline MWMS cross-brain flow:
Research Brain
identifies opportunity signal
↓
Affiliate Brain
evaluates commercial viability
↓
Experimentation Brain
validates test structure
↓
Finance Brain
evaluates capital exposure tolerance
↓
HeadOffice
observes system posture
Flow Characteristics
The standard flow demonstrates:
multi-layer governance
signal validation progression
capital discipline integration
statistical discipline integration
decision traceability
This flow acts as the reference pattern for future flows.
Governance Interpretation
HeadOffice observes cross-brain movement.
HeadOffice does not override Brain authority unless governance conditions require escalation.
Cross-brain flows must maintain:
clear authority boundaries
clear decision ownership
clear lineage visibility
Relationship to Connector Architecture
This standard supports:
MWMS Brain Connector Architecture
MWMS Decision Flow Map Combined View
HeadOffice Active Command Dashboard
HeadOffice Cross Brain Status Board
Cross Brain Signal Confidence Structure
Future Implementation
This structure is designed for later implementation inside:
Supabase request tables
Brain Room task routing
AI employee orchestration
dashboard lineage panels
automation triggers
Each field defined here maps directly to future structured request objects.
Structural Integrity Rule
Cross-brain flows must remain:
interpretable
traceable
auditable
non-ambiguous
structurally consistent
Any new routing structure must align with this standard.
Change Log
Version: v1.0
Date: 2026-04-21
Author: HeadOffice
Initial creation of MWMS Standard Cross Brain Flow defining canonical request structure for stable cross-brain routing, decision lineage clarity, and future automation readiness.
Establishes baseline structure supporting Connector Architecture, Decision Flow Map, and HeadOffice visibility layer.