Signal Freshness
92%
Last refresh 4m ago
Agent Uptime
99.3%
38 active agents
Human Review
12
Queue under SLA
Production Ready
89%
214 assets queued
Governance Confidence
Low Risk
6 warnings open
Learning Loop
Active
286 memory updates
Old vs New Model models how agency value shifts from people-hours to judgment, systems, data, governance and outcomes. It is the new margin architecture layer rendered as a dedicated command surface, not a generic dashboard.
Operating artifact
Old vs New Model activation model
Decision owner
Client partner / Agency Economics
Surface Confidence
83%
Old vs New Model has enough signal, memory and workflow context to operate as its own interface.
Decision Speed
91%
Time from evidence to accountable action across this operating surface.
Human Gate
Ready
Material brand, client and risk decisions remain accountable to a named human.
Learning Writeback
Validated
Outputs become reusable memory, rules and next-cycle instructions.
Hours to systems to outcomes
New agency value equation
Model margin
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Price system
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Allocate upside
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Forecast mix
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Artifact / owner / decision / writeback
Artifact
Old vs New Model activation model
Operator
Client partner
Decision
Decide how old vs new model changes pricing, margin, systems revenue or upside allocation.
Primary KPI
83% coverage
Mock operating controls, not static decoration
Model margin
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Price system
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Allocate upside
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
Forecast mix
Old vs New Model uses agency economics context to produce a concrete next action with evidence, owner and learning path.
The business model migrates from hours and projects to intelligence, systems, governance, production subscriptions and outcomes.
System equation
Judgment x Systems x Data x Governance x Outcomes
Systems Revenue
31%
Operator
Managing Partner / CFO
Old Model Pressure
Manual production, basic reporting and adaptation compress.
New Margin Pools
Client memory, governance and operating system access expand.
Pricing Architecture
Plans bundle intelligence, production, assurance and upside.
Live operating feed
System movements
Model
Systems revenue reached 31%
Packaging update recommended.
Forecast
Projected margin lift +14.8%
Governance fee expansion validated.
Shift
Human hours compressed -38%
Low-value adaptation moved to workflows.
Input to process to output model
Legacy
People x Hours x Projects
Transition
Subscription, governance and production engines
Future
Judgment x Systems x Outcomes
Old Model
People x Hours x Projects
New Model
Judgment x Systems x Data x Governance x Outcomes
Margin Migration
+14.8% projected lift
Revenue migrates from people-hours-projects to judgment-systems-data-governance-outcomes.
Product frame
Managing partner economics dashboard
How this module creates enterprise value
01
Model
02
Package
03
Price
04
Govern
05
Measure
06
Upside
Systems Revenue
31%
+12%Margin Expansion
+18%
+4.2%Subscription ARR
$1.2M
+28%Outcome Upside
$840K
+17%Old model
People x Hours x Projects
Under pressureNew model
Judgment x Systems x Data x Governance x Outcomes
EmergingPricing plan
Intelligence + production + governance + upside
DraftCommercial value
Sell intelligence, not only time
Pricing
Margin value
Systems compound
Leverage
Client value
Trust and outcomes become packaged
Enterprise
Model pricing
Creates mock client plan architecture.
Shift margin pool
Moves revenue into systems and governance.
Forecast upside
Models performance-linked economics.
Old Model
People x Hours x Projects
Revenue scales with headcount, utilization and delivery pressure.
New Model
Judgment x Systems x Data x Governance x Outcomes
Revenue scales with reusable intelligence and trusted orchestration.
Systems Revenue
31%
Intelligence subscription, OS access, governance fees and production subscriptions.
Human Hours Compression
-38%
Low-value adaptation, reporting and coordination move into governed workflows.
Model the migration from hours to systems revenue, governance fees, production subscriptions, and outcome upside.
Primary state
Systems Revenue 31%
Secondary state
Projected Margin Lift +14.8%
Responsible operator
Managing Partner
Simulated run state
Ready00:01
Signal ingestion
Search, social, reviews, commerce and competitor deltas normalized.
92%00:04
Memory retrieval
Client decisions, rejected ideas and compliance boundaries loaded.
86%00:09
Agent orchestration
Research, strategy, creative, compliance and learning agents coordinated.
89%00:14
Human gate
High-impact decision routed to responsible senior reviewer.
78%00:18
Learning writeback
Validated outcome prepared for brand memory and next-cycle instruction update.
83%System confidence rising
The run is combining signal confidence, memory fit, domain rules, governance thresholds and human accountability into an executable recommendation.
This layer shows the artifact, accountable owner, action, system output, risk/KPI state and how the page contributes to the operating system.
Artifact
Revenue model
Owner
Managing Partner
Action
Model margin pools
Output
Pricing architecture
Artifact
Systems revenue forecast
Owner
Finance Lead
Action
Shift packaging
Output
New plan architecture
Artifact
Attribution ambiguity
Owner
Commercial Lead
Action
Define evidence
Output
Outcome model