MWMS Meeting Intelligence And Action Extraction Framework

Parent Page: Operations Brain Canon

Brain: Operations Brain

Page Type: Framework

Status: Active

Version: v1.1

Date: 2026-06-21

Author: HeadOffice

Strategic Purpose

The MWMS Meeting Intelligence And Action Extraction Framework defines how MWMS converts meetings, calls, recorded discussions, and collaborative conversations into structured operational intelligence, assigned actions, accountable ownership, deadlines, follow-up requirements, proposal inputs where applicable, and reusable organisational evidence.

The framework prevents meetings from becoming passive conversations that depend on memory, informal notes, or individual interpretation.

Its purpose is to ensure that every meaningful meeting can produce a controlled operational result.

The framework establishes the operating sequence:

Conversation

→ Capture

→ Interpretation

→ Decision Extraction

→ Action Extraction

→ Ownership

→ Deadline

→ Validation

→ Routing

→ Follow-Up

→ Completion Evidence

→ Organisational Learning

Where a sales or client meeting may support a proposal, the framework may also produce:

→ Proposal Input Pack

→ Commercial Review Handoff

The meeting-intelligence system must stop before commercial approval.

Core Principle

A meeting is not complete when the conversation ends.

A meeting is complete only when:

material decisions have been captured
required actions have been identified
every action has an owner
every time-sensitive action has a deadline
unclear commitments have been resolved or escalated
outputs have been routed to the correct operating destination
completion can later be verified
proposal-relevant inputs have been separated from approved commercial commitments where applicable

Meeting intelligence is therefore not merely summarisation.

It is the controlled conversion of human conversation into operational execution and governed downstream inputs.

Framework Scope

This framework applies to:

internal MWMS meetings
HeadOffice planning meetings
Brain-to-Brain coordination meetings
employee meetings
AI employee supervision sessions
project reviews
client onboarding calls
client service meetings
sales calls
partnership discussions
supplier discussions
strategy sessions
performance reviews
training sessions
operational handoffs
problem-solving calls
recorded voice instructions
discovery meetings
proposal-scoping meetings
commercial review meetings

This framework governs:

meeting capture
transcript preparation
discussion extraction
decision extraction
action extraction
ownership
deadlines
risk and exception extraction
follow-up
routing
completion evidence
proposal-input extraction

This framework does not independently govern:

proposal pricing
commercial approval
legal contract approval
scope authorisation
discount approval
guarantee approval
client delivery commitments

Those matters are governed by the MWMS Client Proposal Generation And Commercial Approval Framework and the relevant Sales, Finance, Legal, Compliance, Risk, and HeadOffice authorities.

Meeting Intelligence Architecture

The framework operates across the following layers:

Layer One: Raw Meeting Evidence

Layer Two: Normalised Meeting Record

Layer Three: Discussion Intelligence

Layer Four: Decision Intelligence

Layer Five: Action Intelligence

Layer Six: Risk And Exception Intelligence

Layer Seven: Follow-Up Intelligence

Layer Eight: Organisational Learning Intelligence

Layer Nine: Proposal Input Intelligence Where Applicable

Layer One: Raw Meeting Evidence

This layer contains the original meeting evidence.

It may include:

audio recording
video recording
transcript
speaker-attributed transcript
written meeting notes
chat messages
attached documents
screen-shared information
participant submissions

Raw evidence must be preserved where retention is permitted and operationally justified.

The system must not silently replace raw evidence with an AI-generated summary.

Layer Two: Normalised Meeting Record

The raw conversation is converted into a consistent meeting record.

The normalised record should identify:

meeting title
meeting type
date
start and finish time where available
participants
participant roles
source location
recording or transcript reference
meeting purpose
agenda where available
processing date
responsible Brain or business area

Speaker attribution should be preserved where technically reliable.

Uncertain speaker attribution must be labelled as uncertain.

Layer Three: Discussion Intelligence

The system identifies the substantive subjects discussed.

Discussion intelligence may include:

topic
context
facts presented
positions expressed
evidence referenced
options considered
objections
constraints
assumptions
unresolved questions

This layer describes what was discussed without yet converting everything into an action or approved commitment.

Layer Four: Decision Intelligence

The system identifies decisions that were actually made.

Each decision record should contain:

decision statement
decision owner or authority
date of decision
affected Brain, project, client, or system
supporting rationale where available
rejected alternatives where relevant
dependencies
conditions
review date where required
source evidence reference

A suggestion must not be recorded as a decision.

A preference must not be recorded as an approval.

An unresolved discussion must not be recorded as an agreed direction.

A proposal idea must not be recorded as approved scope.

A requested price must not be recorded as approved pricing.

A desired completion date must not be recorded as a guaranteed deadline.

Layer Five: Action Intelligence

The system identifies work that must occur because of the meeting.

Each action should contain:

action statement
responsible owner
supporting participants where relevant
due date
priority
destination
dependency
completion criteria
required approval
escalation condition
source decision or discussion
current status

Layer Six: Risk And Exception Intelligence

The system identifies matters requiring caution, clarification, or escalation.

This may include:

unclear authority
disputed decision
missing owner
missing deadline
confidentiality
privacy
regulatory risk
client dissatisfaction
financial commitment
scope uncertainty
pricing uncertainty
legal terms
unsupported claim
sensitive employee information
dependency risk
delivery risk
transcript uncertainty

Layer Seven: Follow-Up Intelligence

The system identifies what follow-up communication or confirmation is required.

Follow-up may include:

participant summary
action confirmation
client email
owner reminder
approval request
deadline reminder
dependency request
escalation notice
next meeting booking
missing-information request
proposal clarification request
commercial review request

Follow-up messages should be generated from validated meeting intelligence, not from unreviewed assumptions.

Layer Eight: Organisational Learning Intelligence

Meeting outputs may identify reusable learning such as:

repeated bottlenecks
recurring objections
process failures
training needs
unclear responsibilities
repeated client questions
common delivery risks
recurring proposal ambiguities
repeated scope-change causes

Learning intelligence must be routed through the appropriate MWMS evidence and knowledge-governance process before becoming Canon.

Layer Nine: Proposal Input Intelligence Where Applicable

Sales, discovery, client, partnership, and solution-design meetings may contain information that should support a commercial proposal.

The meeting-intelligence system may extract:

current situation
client problem
desired outcome
confirmed requirements
probable requirements
unconfirmed requirements
stated constraints
technical constraints
business constraints
budget indicators
requested timing
stakeholders
decision process
approval process
must-have requirements
nice-to-have requirements
risks
objections
open questions
proposed next step

This layer produces a Proposal Input Pack.

It does not produce an approved proposal.

Proposal Input Pack

Client:

Company:

Opportunity:

Meeting ID:

Meeting Date:

Participants:

Source Records:

Current Situation:

Problem:

Desired Outcome:

Confirmed Requirements:

Probable Requirements:

Unconfirmed Requirements:

Constraints:

Stakeholders:

Budget Indicators:

Requested Timing:

Decision Process:

Approval Process:

Risks:

Objections:

Open Questions:

Recommended Next Step:

Transcript Confidence:

Human Review Required:

Proposal Input Status:

Proposal Input Status Values

Ready For Commercial Review

Incomplete

Clarification Required

Conflicting Evidence

Low Confidence

Not Suitable For Proposal

Rule

A Proposal Input Pack is a governed handoff artifact.

It is not authority to:

approve scope
approve deliverables
approve price
apply a discount
approve payment terms
promise a deadline
promise a result
create a guarantee
send a proposal
begin delivery

The dedicated MWMS Client Proposal Generation And Commercial Approval Framework governs all later commercial steps.

Meeting Processing Lifecycle

Stage One: Capture Authority

Before a meeting is recorded or processed, the system must establish whether capture is authorised.

Capture authority may arise from:

participant consent
contractual permission
internal policy
approved meeting platform settings
client agreement
employment policy
legal authority

Unauthorised recording or processing must not occur.

Stage Two: Source Capture

The authorised meeting source is captured.

The system should preserve:

original source
source timestamp
participant details
recording reference
transcript reference
source integrity
processing status

Stage Three: Transcript Preparation

Where a transcript is used, it should be prepared for analysis.

Preparation may include:

removing transcription artefacts
preserving speaker labels
correcting obvious formatting errors
removing irrelevant system messages
separating conversational turns
retaining meaningful timestamps
marking uncertain wording

Preparation must not rewrite the substance of the conversation.

Stage Four: Meeting Classification

The meeting is classified before specialised extraction occurs.

Possible meeting classes include:

internal operations meeting
client onboarding meeting
client service meeting
sales call
discovery call
proposal-scoping meeting
commercial review meeting
project review
performance meeting
strategic planning meeting
partnership meeting
training session
incident review
handoff meeting
approval meeting

Meeting classification determines which extraction rules and checklists apply.

Stage Five: Intelligence Extraction

The system extracts:

summary
topics
facts
decisions
actions
owners
deadlines
risks
questions
dependencies
follow-up requirements
relevant performance evidence
proposal inputs where applicable

Extraction should use a structured output format rather than unrestricted prose where operational routing is required.

Stage Six: Ambiguity Detection

The system checks for incomplete operational or commercial information.

Examples include:

“Someone should handle this.”
“We will do that soon.”
“Let us revisit it later.”
“M can probably take care of it.”
“We agreed to change it.”
“We can probably include that.”
“The price should be around this.”
“They want it next month.”

These statements may imply work or commercial direction, but they lack sufficient execution or approval detail.

The system should identify:

unknown owner
unknown deadline
unclear action
unclear authority
unclear destination
unclear completion condition
unclear scope
unclear price
unclear commercial term
unclear proposal requirement

Ambiguous items must be resolved, held for review, or escalated.

They must not be silently converted into confident tasks or commercial commitments.

Stage Seven: Human Validation

Material outputs should be reviewed before they create irreversible operational consequences.

Validation may confirm:

summary accuracy
decision accuracy
action accuracy
ownership
deadline
priority
routing destination
confidentiality
required approval
proposal-input accuracy
requirement classification
transcript confidence

Low-risk routine actions may use approved automated routing where governance permits.

High-impact decisions, client commitments, financial commitments, employee matters, policy changes, scope changes, pricing, discounts, guarantees, and delivery commitments require human validation.

Stage Eight: Operational Routing

Validated outputs are routed to the correct destination.

Possible destinations include:

task system
project record
client record
CRM
Brain queue
HeadOffice review
employee task list
approval queue
risk register
decision log
follow-up communication draft
meeting archive
lessons learned system
Canon review queue
Proposal Input Pack
commercial review queue

Routing must follow MWMS Brain authority and destination rules.

A Proposal Input Pack must route to the MWMS Client Proposal Generation And Commercial Approval Framework or its approved operational destination.

Stage Nine: Follow-Up

The system determines whether follow-up is required.

Follow-up may include:

participant summary
action confirmation
client email
owner reminder
approval request
deadline reminder
dependency request
escalation notice
next meeting booking
missing-information request
proposal clarification
commercial approval request

Follow-up messages should be generated from validated meeting intelligence, not from unreviewed assumptions.

Stage Ten: Completion Verification

Actions remain open until completion evidence is available.

Completion evidence may include:

task marked complete
document produced
approval recorded
client response received
system change verified
payment confirmed
handoff accepted
deliverable reviewed
issue resolved
Proposal Input Pack accepted for commercial review

A completed conversation does not constitute a completed action.

A completed Proposal Input Pack does not constitute an approved proposal.

Decision Extraction Standard

A decision must satisfy the following conditions before it is recorded as confirmed:

a choice or direction was clearly established
the relevant authority made or accepted the decision
the decision applies to an identifiable matter
the wording is sufficiently clear to act upon
material conditions are captured
the source can be traced

Decision classifications include:

Confirmed Decision

A clear decision was made and can be acted upon.

Conditional Decision

A decision was made subject to a condition.

Provisional Direction

A temporary direction was given but requires later confirmation.

Recommendation

An option was proposed but not approved.

Deferred Decision

The matter was intentionally postponed.

Disputed Decision

Participants do not agree on what was decided.

No Decision

The matter was discussed without reaching a decision.

Commercial Discussion

A possible commercial matter was discussed but has not passed commercial approval.

Rule

Commercial Discussion must not be represented as Confirmed Decision unless the correct commercial authority explicitly approved it.

Action Extraction Standard

A valid operational action should answer:

What must be done?
Who owns it?
When is it due?
Why is it required?
What decision or request created it?
What does completion look like?
What dependencies exist?
Where must the result be delivered?

Where one of these elements is absent, the action should be marked incomplete rather than fabricated.

Action Ownership Rule

Every action must have one accountable owner.

Multiple contributors may support an action, but shared ownership must not remove accountability.

The accountable owner is responsible for:

accepting the action
clarifying uncertainty
coordinating contributors
managing dependencies
meeting the deadline
providing completion evidence
escalating blockers

Actions without an owner must enter an unresolved-action queue.

Deadline Rule

The system must distinguish between:

explicit deadline
inferred deadline
requested timeframe
target date
review date
no deadline provided

Inferred deadlines must be clearly labelled and require confirmation.

The system must not convert words such as “soon,” “later,” or “when possible” into arbitrary dates without approved scheduling logic.

Commercial Timing Rule

The system must also distinguish between:

client-requested date
preferred date
target date
estimated date
dependent date
fixed approved commitment

A client-requested or preferred date must not be represented as a fixed delivery commitment.

Completion Criteria Rule

An action should not be considered execution-ready unless its completion condition is understandable.

Weak completion condition:

“Review the client system.”

Strong completion condition:

“Review the client system against the approved checklist, document all failures, assign severity, and submit the review to HeadOffice.”

Where completion criteria cannot be determined, the action must be clarified before execution.

Meeting Checklist Evaluation

Different meeting classes may use approved checklists.

A checklist may evaluate whether required subjects or actions occurred.

Examples include:

Was the meeting purpose stated?
Were required participants present?
Was the client’s objective confirmed?
Were unresolved issues identified?
Were decisions explicitly confirmed?
Were owners assigned?
Were deadlines agreed?
Were risks discussed?
Was the next step explained?
Was approval requested where required?
Were proposal-relevant requirements separated into confirmed and unconfirmed?
Were requested dates distinguished from approved commitments?
Was commercial review identified where required?

Checklist evaluation may produce:

completed
partially completed
not completed
not applicable
unclear from evidence

Checklist results are evidence for review and improvement.

They are not automatically employee performance judgments.

Performance Evidence Rule

Meeting data may support performance analysis when appropriately governed.

Possible evidence includes:

required questions asked
commitments completed
deadlines established
customer concerns addressed
agreed process followed
next steps confirmed
communication clarity
meeting participation
repeated omissions

Performance evidence must:

use an approved role-specific standard
preserve context
distinguish fact from interpretation
permit human review
avoid automatic disciplinary conclusions
avoid scoring people against irrelevant meeting types
protect sensitive employee information

Sales Call Intelligence

For sales calls, the framework may extract:

prospect goals
pain points
current state
desired outcome
urgency
budget indicators
authority indicators
objections
decision process
promised follow-up
offer discussed
proof presented
agreed next step
deal risk
proposal-input readiness

Sales-call intelligence must route into the appropriate Sales Brain or CRM workflow.

It must not remain isolated inside a transcript archive.

Where a proposal may be appropriate, the system should generate a Proposal Input Pack.

It must not independently create or approve:

scope
deliverables
pricing
discounts
payment terms
guarantees
deadlines
contract wording
send authority

Client Meeting Intelligence

For client meetings, the framework may extract:

client requests
scope changes
dissatisfaction
desired outcomes
agreed deliverables
deadlines
approvals
rejected work
new opportunities
risk signals
relationship context
client-specific facts

Client requests and possible scope changes must be classified.

Possible classifications:

Confirmed In-Scope Action

Possible Scope Change

Commercial Review Required

Out Of Scope

Unclear

Rule

A client request raised in conversation must not silently become included scope.

Proposal Handoff Boundary

Meeting Intelligence may produce:

source-linked requirements
confirmed statements
probable requirements
unconfirmed requirements
constraints
budget indicators
requested timing
stakeholders
objections
open questions
recommended next step

Meeting Intelligence may not approve:

final scope
final deliverables
final timeline
final price
discounts
payment schedule
commercial claims
guarantees
legal terms
proposal validity
external proposal delivery

The handoff destination is:

MWMS Client Proposal Generation And Commercial Approval Framework

Proposal Handoff Record

Meeting ID:

Opportunity ID:

Client:

Proposal Input Pack Version:

Source Confidence:

Commercial Review Required:

Open Questions:

Required Approvers:

Destination:

Handoff Status:

Handoff Status Values

Not Required

Preparing

Ready For Review

Clarification Required

Accepted By Commercial Review

Rejected By Commercial Review

Superseded

AI Employee Meeting Use

AI employees may assist with:

transcription
summarisation
decision extraction
action extraction
checklist evaluation
routing recommendations
reminder generation
follow-up drafting
completion checking
proposal-input extraction
requirement classification
ambiguity detection

AI employees must not independently:

create policy from conversation
assign disciplinary consequences
approve financial commitments
change Canon
create unauthorised client commitments
invent missing owners or deadlines
expose confidential meeting information
route sensitive employee information to general systems
approve proposal scope
approve pricing
approve discounts
approve payment terms
promise delivery dates
create guarantees
send proposals

Source Traceability

Every material meeting output should retain a reference to its source.

Traceability may include:

meeting identifier
transcript identifier
recording identifier
timestamp
speaker reference
source excerpt
processing version
validation status

A material decision, commitment, or proposal input should be traceable to the part of the conversation that supports it.

Confidence And Uncertainty

The system must distinguish:

explicit statement
strong inference
weak inference
unresolved ambiguity
conflicting evidence

Confidence must not be used to disguise missing information.

When confidence is low, the system should request clarification or route the item for review.

Proposal Input Confidence

High

Material proposal inputs are explicit, attributable, and internally consistent.

Medium

Most inputs are usable but some require confirmation.

Low

Material ambiguity, missing context, or transcript quality issues exist.

Unusable

The meeting evidence cannot safely support proposal drafting.

Rule

Low or unusable proposal-input confidence must block automatic proposal drafting.

Privacy And Confidentiality

Meeting intelligence may contain highly sensitive information.

The system must apply:

least-privilege access
participant consent requirements
client isolation
employee information controls
retention limits
access logging
secure storage
restricted routing
deletion requirements where applicable
redaction where full transcript access is unnecessary

Sensitive meeting content must not be placed into general-purpose knowledge systems without explicit authority.

Retention Standard

Not every meeting requires permanent storage.

Retention should consider:

legal requirement
contractual requirement
operational value
sensitivity
dispute risk
client relationship value
training value
decision significance
Canon relevance
proposal evidence value

Possible retention outcomes include:

temporary processing only
short-term operational record
client record
project record
decision archive
restricted employee record
commercial evidence record

Failure Handling

Possible failures include:

recording unavailable
transcript incomplete
wrong meeting matched
speaker attribution failure
confidential information exposed
decision misclassified
action fabricated
owner missing
deadline fabricated
routing failure
failed task creation
failed follow-up
action completed without evidence
proposal input misclassified
commercial commitment inferred
requested date represented as fixed
possible scope treated as approved scope

Failure must not be hidden behind a polished summary.

Minimum Meeting Output

A standard meeting output should contain:

Meeting Identity

meeting title
meeting type
date
participants
purpose

Executive Summary

concise explanation of what occurred

Confirmed Decisions

decision
authority
affected area
conditions

Action Register

action
owner
due date
priority
completion criteria

Open Questions

unresolved matter
required owner
required resolution date

Risks And Dependencies

risk or dependency
affected action
required response

Follow-Up Requirements

communication
recipient
timing
approval requirement

Proposal Input Pack Where Applicable

current situation
problem
desired outcome
confirmed requirements
unconfirmed requirements
requested timing
open questions
transcript confidence
commercial review status

Evidence

transcript or recording reference
validation status

Operational Status

routed
awaiting review
awaiting clarification
active
completed
escalated

Quality Standard

A meeting intelligence output is acceptable only when it is:

faithful to the source
operationally useful
clear about uncertainty
structured for routing
explicit about ownership
explicit about deadlines
traceable
appropriately confidential
governed by human validation where required
free from invented commitments
commercially bounded where proposal inputs are involved

Success Measures

The framework should improve:

percentage of meetings with captured decisions
percentage of actions with owners
percentage of actions with deadlines
percentage of actions with completion criteria
follow-up speed
action completion rate
reduction in forgotten commitments
reduction in ownership ambiguity
reduction in repeated discussion
meeting-to-execution time
cross-Brain handoff reliability
client follow-up reliability
visibility of recurring blockers
percentage of proposal-input packs with source traceability
percentage of proposal-input packs with clear confidence status
reduction in unauthorised commercial commitments

Success must not be measured by the number of transcripts created.

Governance Rules

A transcript is evidence, not authority.
A summary must not replace the source where material decisions are involved.
A suggestion must not be represented as a decision.
An inferred action must not be presented as an explicit commitment.
Every operational action requires an accountable owner.
Every time-sensitive action requires a deadline or clarification status.
Sensitive meeting intelligence must be access controlled.
A Proposal Input Pack is not an approved proposal.
Requested scope must not be represented as approved scope.
Requested timing must not be represented as a guaranteed delivery date.
Budget discussion must not be represented as approved pricing.
AI may extract proposal inputs but may not approve commercial commitments.
Commercial outputs must route through the MWMS Client Proposal Generation And Commercial Approval Framework.

Framework Outcome

When this framework is operating correctly, MWMS meetings become controlled sources of execution intelligence and governed commercial inputs.

Conversations no longer disappear into recordings, informal notes, or participant memory.

Decisions become visible.

Actions become owned.

Deadlines become explicit.

Risks become traceable.

Follow-up becomes systematic.

Proposal inputs become structured.

Commercial ambiguity becomes visible.

Completion becomes verifiable.

Learning becomes reusable.

The framework therefore converts meetings from temporary communication events into governed operational inputs for MWMS execution, accountability, coordination, client delivery, organisational learning, and commercial review.

MWMS System Change Log

Version: v1.1

Date: 2026-06-21

Author: HeadOffice

Change

Updated the MWMS Meeting Intelligence And Action Extraction Framework from v1.0 to v1.1 following creation of the MWMS Client Proposal Generation And Commercial Approval Framework.

Added a dedicated Proposal Input Intelligence layer.

Added the Proposal Input Pack containing:

client and opportunity identity
meeting and source records
current situation
problem
desired outcome
confirmed requirements
probable requirements
unconfirmed requirements
constraints
stakeholders
budget indicators
requested timing
decision process
approval process
risks
objections
open questions
recommended next step
transcript confidence
human review requirement

Added proposal-input statuses:

Ready For Commercial Review
Incomplete
Clarification Required
Conflicting Evidence
Low Confidence
Not Suitable For Proposal

Added a Proposal Handoff Boundary defining that Meeting Intelligence may extract and route source-linked commercial inputs but may not independently approve:

scope
deliverables
pricing
discounts
payment terms
guarantees
deadlines
contract wording
proposal validity
external delivery

Added Proposal Handoff Record and handoff statuses.

Expanded:

meeting scope
meeting classification
ambiguity detection
human validation
operational routing
follow-up
completion verification
sales call intelligence
client meeting intelligence
AI employee permissions
source traceability
confidence handling
failure handling
minimum meeting output
success measures
governance rules

Added explicit doctrine that:

a Proposal Input Pack is not an approved proposal
a client request does not automatically become included scope
a requested date does not automatically become a fixed delivery commitment
budget discussion does not create approved pricing
AI may extract proposal inputs but may not approve commercial commitments

Change Impact Declaration

This update creates a formal controlled boundary between Operations Brain meeting intelligence and Sales Brain commercial proposal governance.

Operations Brain remains responsible for:

meeting capture
transcript preparation
discussion extraction
decision extraction
action extraction
proposal-input extraction
ambiguity detection
routing

Sales Brain, Finance Brain, Risk Brain, Compliance Brain, and authorised commercial reviewers remain responsible for:

proposal scope
deliverables
pricing
payment terms
claims
timeline commitments
commercial approval
external delivery

The update does not authorise automatic proposal generation or sending.

The dedicated downstream authority is:

MWMS Client Proposal Generation And Commercial Approval Framework

Pages Created

None

Pages Updated

MWMS Meeting Intelligence And Action Extraction Framework updated from v1.0 to v1.1

Pages Deprecated

None

Standalone Pages Not Created

The following standalone pages were not created because their durable intelligence is governed within this updated framework or the dedicated proposal framework:

MWMS Meeting To Proposal Handoff Framework
MWMS Proposal Input Pack Standard
MWMS Transcript To Proposal Input Framework
MWMS Sales Call Proposal Extraction Framework
MWMS Commercial Meeting Handoff Protocol

Registries Requiring Update

MCR Page Registry
Operations Brain Page Registry
Sales Brain Page Registry where the proposal handoff is referenced
MCR Copy Map where the Operations Brain framework copy is recorded
MWMS Course Absorption Decision Registry

Canon Version Update Required

No immediate Operations Brain Canon version change is required unless the current Canon records framework versions or meeting-to-proposal handoff rules.

The next scheduled Operations Brain Canon alignment should recognise:

Proposal Input Intelligence
Proposal Input Pack
Proposal Handoff Boundary
commercial-review routing

Change Log Entry Required

Yes.

The v1.1 update must be recorded in:

MWMS System Change Log
MCR Page Registry change history where applicable
Operations Brain Page Registry change history where applicable
Sales Brain Page Registry change history where applicable
MWMS Course Absorption Decision Registry

Strategic Absorption Result

The AI Automations by Jack proposal-generation material has been connected to the existing MWMS meeting-intelligence framework without allowing meeting analysis to become uncontrolled commercial authority.

The absorption preserves:

transcript-based requirement extraction
problem and desired-outcome extraction
requested timing
budget indicators
stakeholder information
objections
follow-up
source traceability

The absorption rejects:

turning informal discussion into approved scope
turning requested timing into guaranteed deadlines
turning budget discussion into approved pricing
allowing AI to approve discounts or payment terms
automatically generating and sending proposals from a meeting transcript

The resulting v1.1 framework establishes that meeting intelligence may create a source-linked Proposal Input Pack, but all commercial commitments must pass through the MWMS Client Proposal Generation And Commercial Approval Framework.

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