ECOM — Economic Continuity Module
Architecture:
VEGA™ — Value Execution Governance Architecture
Parent Standard:
Intelligence Sustainability Standard (ISS)
Category:
Governance & Enforcement
Subcategory:
Value Execution Governance
Type: Core Module
Governed Space:
Intelligence Economic Continuity Governance
Module ID: VEGA-ISS-ECOM-004
Origin ID: OOF.CM.VEGA.08.04.01
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 30 September 2026
Compatibility: OOF® Methodology OS™ · Modular OOF® Architecture Ecosystem
AI-Readable: Yes
Authority: OOF® — OriginOpen® Foundation
Protection:
MIP® — Methodological Intellectual Property
Canonical Language:
English (UCL™)
1. Canonical Definition
The Economic Continuity Module (ECOM) governs whether the economic conditions required to sustain an intelligence operating model can remain sufficiently viable, proportionate, supportable, and adaptable across its intended lifecycle.
ECOM evaluates whether recurring and lifecycle-related economic requirements can continue to support the intelligence capability as execution volume, infrastructure, maintenance, pricing, scaling, replacement, migration, support, and other material cost conditions change.
It distinguishes current economic viability from continuing economic viability.
ECOM does not determine whether an individual execution is economically efficient. That economic relationship is governed by the Intelligence Economy Standard (IES).
ECOM governs whether the economic model supporting intelligence can remain viable over time.
Its principal output is:
Governed Economic Continuity State
Its foundational distinction is:
Current Economic Viability ≠ Economic Continuity.
2. Operational Role
The operational role of ECOM is:
to determine whether the economic conditions required to preserve the governed intelligence operating model can remain supportable and proportionate throughout its intended lifecycle.
IES asks:
“Does the total governed cost of producing the validated outcome justify the value created?”
ECOM asks:
“Can the economic conditions supporting that justified intelligence continue to remain viable as the operating model evolves over time?”
3. Position in the ISS Internal Flow
The ISS internal governance flow is:
Sustainability Threshold → Execution Energy Viability → Infrastructure Sustainability → Economic Continuity → Dependency Sustainability
ECOM governs:
Economic Continuity
Its principal upstream inputs are:
Governed Sustainability Threshold State
Governed Execution Energy Viability State
Governed Infrastructure Sustainability State
and relevant:
Governed Intelligence Economy State
Governed Strategic Value State
Its principal output is:
Governed Economic Continuity State
That state proceeds to:
Dependency Sustainability Governance
4. Central Operational Question
Can the economic model required to preserve the governed intelligence capability remain viable and proportionate across its intended lifecycle as costs, demand, scale, infrastructure, maintenance, and operating conditions change?
5. Economic Continuity Object
Every ECOM assessment must identify the intelligence operating model whose economic continuity is being governed.
The object may include economic requirements associated with:
execution,
compute,
energy,
infrastructure,
software,
models,
data,
external services,
maintenance,
support,
personnel,
replacement,
upgrades,
migration,
and other material lifecycle conditions.
Only economically material components should enter the governed boundary.
6. Economic Continuity Boundary
ECOM should define which economic conditions materially determine whether the intelligence operating model can remain viable.
The boundary should distinguish:
current operating cost,
recurring cost,
variable cost,
fixed cost,
maintenance cost,
replacement cost,
scaling cost,
transition cost,
and other material lifecycle cost categories.
The objective is not to capture every accounting transaction.
It is to identify the economic conditions capable of changing the sustainability of the intelligence operating model.
7. Lifecycle Economic Horizon
Economic Continuity must be evaluated against a defined lifecycle horizon.
The horizon should correspond to the period over which the intelligence capability is expected to remain operationally relevant.
Economic viability over the current month or quarter does not establish viability over a multi-year operating horizon.
Short-Term Affordability ≠ Lifecycle Economic Continuity.
8. Economic Continuity Baseline
ECOM should establish a baseline representing the economic conditions under which the intelligence operating model currently operates.
The baseline may include:
execution cost,
infrastructure cost,
energy-related cost,
provider cost,
maintenance cost,
support cost,
personnel cost,
and other material recurring expenditure.
The baseline provides the reference point against which economic change can be assessed.
9. Current Economic State
The Current Economic State represents observed economic conditions at the time of assessment.
It should remain distinguishable from:
future projections,
committed future cost,
expected scaling cost,
and long-term economic assumptions.
Current Cost ≠ Lifecycle Cost.
10. Recurring Cost Structure
ECOM should identify costs that recur as part of continued intelligence operation.
These may include:
inference or execution charges,
cloud or infrastructure fees,
energy-related costs,
licenses,
data services,
monitoring,
validation,
support,
maintenance,
and personnel.
Recurring cost should be related to the operating model rather than treated as an isolated accounting category.
11. Fixed and Variable Cost
Where relevant, ECOM should distinguish between:
Fixed Cost — expenditure that remains relatively stable across a defined operating range.
Variable Cost — expenditure that changes materially with execution volume, users, workload, resource consumption, or another operational driver.
The distinction matters because scale may alter the economic structure of the intelligence operating model.
12. Cost Drivers
ECOM should identify the mechanisms materially responsible for economic change.
Cost drivers may include:
execution volume,
token or context volume,
model selection,
agent count,
compute demand,
energy consumption,
storage growth,
network traffic,
hardware replacement,
maintenance,
provider pricing,
human support,
or another material factor.
Cost Increase ≠ Cost Driver Identification.
Governance requires understanding why the economic state is changing.
13. Cost Trajectory
Economic Continuity depends not only on current cost but on how cost changes over time.
ECOM may evaluate whether the cost trajectory is:
Declining
Stable
Gradually Increasing
Accelerating
Volatile
Structurally Increasing
Unresolved
Trajectory should be assessed against the relevant operating and Value conditions.
14. Cost Escalation
Cost Escalation occurs where the economic burden of maintaining the intelligence operating model increases materially.
Escalation may arise from:
greater demand,
provider price changes,
higher resource consumption,
maintenance requirements,
infrastructure expansion,
support complexity,
or another economic mechanism.
Cost escalation is not automatically unsustainable.
Its significance depends on Value, scale, alternatives, and lifecycle requirements.
15. Cost Volatility
Some intelligence operating models may experience substantial variation in economic requirements.
Volatility may arise from:
usage variation,
dynamic pricing,
resource scarcity,
provider pricing,
demand spikes,
or workload characteristics.
ECOM should evaluate volatility where it materially affects the ability to sustain the operating model.
16. Economic Margin
Where appropriate, ECOM may establish an Economic Continuity Margin representing the distance between the current or expected economic burden and the applicable economic sustainability boundary.
Possible states may include:
Strong Margin
Adequate Margin
Narrowing Margin
Critical Margin
Economic Threshold Reached
Economic Threshold Breached
Unresolved
17. Economic Margin Consumption
Economic Margin may decline when:
cost increases,
Value decreases,
required infrastructure expands,
maintenance grows,
provider pricing changes,
or the operating model becomes less efficient.
Margin deterioration should be visible before economic failure occurs.
18. Economic Margin Recovery
Economic Margin may improve through:
execution optimization,
infrastructure improvement,
reduced resource intensity,
better utilization,
provider substitution,
cost reduction,
higher validated Value,
or another evidenced mechanism.
A lower budget requirement caused by reduced capability does not automatically represent legitimate improvement.
19. Value Support
Economic Continuity exists in relation to the Value supported by the intelligence operating model.
ECOM may therefore use governed Value evidence from upstream VEGA™ mechanisms.
The relevant relationship is:
Continuing Economic Burden ↔ Continuing Governed Value
However:
ECOM does not redefine Value.
It does not independently determine Strategic Value.
It evaluates whether the economic conditions supporting that Value can remain viable.
20. Value Deterioration
An intelligence operating model may become economically less sustainable even where cost remains stable if the Value it supports materially declines.
Therefore:
Stable Cost ≠ Stable Economic Continuity.
Economic Continuity depends on the continuing relationship between economic burden and governed Value.
21. Economic Continuity Under Scale
Scaling may materially change economic viability.
ECOM should evaluate how economic requirements change as:
users increase,
executions increase,
agents multiply,
data volumes grow,
context expands,
availability requirements increase,
or operational coverage broadens.
Affordable Pilot ≠ Economically Sustainable Scale.
22. Economies of Scale
Some intelligence operating models may become economically more efficient as utilization increases.
Potential mechanisms include:
shared infrastructure,
higher utilization,
fixed-cost distribution,
automation,
or negotiated provider economics.
Economies of scale should be evidenced rather than assumed.
23. Diseconomies of Scale
Scaling may also increase cost disproportionately.
This may arise through:
coordination complexity,
higher-tier infrastructure,
greater support requirements,
data movement,
validation burden,
provider pricing structures,
or infrastructure bottlenecks.
Therefore:
More Scale ≠ Lower Unit Cost by default.
24. Cost per Sustainable Operating Unit
Where methodologically appropriate, ECOM may relate economic burden to a defined operating unit.
The unit may represent:
validated execution,
validated task,
user,
agent,
workload,
service period,
or another governed unit.
No universal denominator is required.
The chosen unit must preserve the operational meaning of the economic assessment.
25. Maintenance Economics
Long-term intelligence operation may require increasing maintenance expenditure.
ECOM should assess economic requirements associated with:
hardware maintenance,
software maintenance,
model maintenance,
integration maintenance,
data maintenance,
validation,
monitoring,
and operational support
where materially relevant.
26. Maintenance Cost Drift
Maintenance cost may rise gradually even while the core intelligence execution remains unchanged.
This may indicate:
aging infrastructure,
increasing complexity,
technical debt,
support fragmentation,
or growing dependency burden.
Maintenance cost drift should remain visible within the Economic Continuity State.
27. Replacement Economics
Infrastructure, hardware, software, or other supporting capabilities may require replacement during the intended lifecycle.
ECOM should identify material replacement expenditure where it affects long-term economic viability.
Replacement Cost ≠ Current Operating Cost.
Ignoring foreseeable replacement can materially overstate economic continuity.
28. Upgrade Economics
Upgrades may be necessary to preserve:
required capability,
compatibility,
security,
performance,
capacity,
or supportability.
ECOM should distinguish economically necessary upgrades from discretionary expansion or performance improvement.
29. Infrastructure Expansion Economics
Where ISM identifies required infrastructure expansion, ECOM should evaluate the economic implications of that expansion.
This may include:
hardware acquisition,
cloud capacity,
networking,
storage,
cooling,
facilities,
deployment,
maintenance,
and supporting operational expenditure.
ISM determines infrastructure sustainability.
ECOM governs whether the associated economic requirements remain supportable.
30. Transition Economics
An intelligence operating model may require transition between:
models,
providers,
hardware,
infrastructure,
software platforms,
or operating configurations.
Transition may create temporary or permanent economic burdens.
ECOM should identify material transition cost where it affects continuity.
31. Migration Economics
Where migration becomes necessary, ECOM may evaluate:
migration preparation,
parallel operation,
data transfer,
integration,
testing,
validation,
retraining,
reconfiguration,
and operational disruption
where these have material economic consequences.
Migration feasibility itself may belong to infrastructure or dependency governance.
ECOM governs its economic consequence.
32. Exit Economics
Leaving an existing intelligence operating model may itself require expenditure.
Exit costs may include:
contract termination,
data extraction,
system replacement,
migration,
decommissioning,
or transition support.
Where material, these costs should remain visible.
Ability to Stop ≠ Costless Exit.
33. Provider Pricing Exposure
Intelligence operating models may depend on pricing controlled by external providers.
ECOM should identify economic exposure where provider pricing materially affects lifecycle viability.
Relevant conditions may include:
usage pricing,
subscription pricing,
capacity pricing,
minimum commitments,
tier changes,
or another material pricing mechanism.
Provider dependency itself proceeds to Dependency Sustainability Governance.
34. Contractual Economic Exposure
Contracts may create continuing economic commitments independent of actual utilization.
Where relevant, ECOM should identify:
minimum spend,
reserved capacity,
long-term commitments,
renewal conditions,
pricing adjustments,
or termination costs.
Contractual commitment does not establish economic sustainability.
35. Economic Lock-In
Economic Lock-In occurs where the cost of leaving, replacing, or materially changing the intelligence operating model becomes sufficiently high to constrain realistic alternatives.
Lock-in may arise from:
migration cost,
contract commitments,
specialized infrastructure,
integration cost,
data movement,
or accumulated implementation investment.
High Switching Cost ≠ Continued Economic Justification.
36. Sunk Cost Boundary
Past expenditure may explain how the current operating model was created.
It does not automatically justify future expenditure.
ECOM therefore preserves:
Sunk Cost ≠ Future Economic Justification.
This boundary aligns with SVGS Capital-at-Risk governance while preserving ECOM's narrower focus on continuing economic viability.
37. Budget Availability
An organization may possess sufficient budget to continue an intelligence system.
That does not establish that continued operation is economically sustainable.
Budget Availability ≠ Economic Continuity.
Economic Continuity concerns the governed relationship between ongoing economic requirements and the operating model they support.
38. Subsidized Continuity
An intelligence system may remain operational because another business unit, investor, government program, research budget, or strategic program absorbs its cost.
Subsidization does not automatically invalidate continuity.
But the source, duration, conditions, and reliability of material subsidy should remain visible.
Funding Support ≠ Self-Sustaining Economics.
39. Strategic Value and Economic Continuity
Strategic Value may legitimately justify economic conditions that would appear unattractive under immediate ROI alone.
ECOM should therefore consume the Governed Strategic Value State where relevant.
However:
Strategic Value ≠ Unlimited Economic Continuity.
A long-term economic burden still requires a credible relationship to the governed Strategic Value supporting it.
40. Economic Continuity Failure Modes
Material failure modes may include:
Recurring Cost Failure
Cost Escalation Failure
Scale Economics Failure
Maintenance Economics Failure
Replacement Economics Failure
Provider Pricing Failure
Transition Cost Failure
Economic Lock-In
Value Support Failure
Funding Continuity Failure
Structural Economic Failure
Failure modes should be linked to evidence rather than assumed from theoretical possibility.
41. Economic Deterioration
Economic Deterioration occurs where the conditions supporting continuity weaken over time.
It may arise through:
rising cost,
declining Value,
shrinking margin,
increasing maintenance,
unfavorable scale economics,
pricing exposure,
or growing transition burden.
The system may remain fully funded during deterioration.
42. Economic Continuity Drift
Economic Continuity Drift represents gradual movement away from a previously governed viable economic state.
Drift should be distinguished from temporary cost variation.
Relevant evidence may include:
persistent unit-cost growth,
margin erosion,
maintenance cost growth,
increasing fixed commitments,
or declining Value support.
43. Economic Stress Testing
Where appropriate, ECOM may test economic continuity under plausible changes in:
demand,
execution volume,
provider pricing,
infrastructure cost,
energy-related cost,
maintenance,
replacement,
Value,
or migration requirements.
Stress testing should reveal sensitivity.
It should not be represented as prediction certainty.
44. Economic Scenarios
Scenario analysis may evaluate multiple plausible future economic states.
Examples may include:
Baseline
Growth
High-Demand
Cost Escalation
Provider Price Increase
Infrastructure Replacement
Migration
Value Decline
Scenarios should remain traceable to their assumptions.
45. Economic Forecasting
Forecasts may support assessment of future:
cost,
scale,
maintenance,
replacement,
provider pricing,
or Value support.
Forecasts should remain distinguishable from observed economic evidence.
Projected Affordability ≠ Economic Continuity.
46. Economic Uncertainty
Material uncertainty may concern:
future demand,
provider pricing,
resource prices,
infrastructure replacement,
technology change,
maintenance requirements,
Value persistence,
or migration cost.
ECOM should preserve uncertainty rather than convert it into false precision.
47. Economic Evidence
ECOM conclusions should be supported by evidence appropriate to the governed economic mechanism.
Evidence may include:
execution cost records,
invoices,
provider pricing,
infrastructure expenditure,
maintenance records,
resource consumption,
contracts,
support cost,
migration estimates,
replacement plans,
workload evidence,
and governed Value evidence.
Evidence should preserve relevant:
scope,
time,
methodology,
version,
and provenance.
48. Governed Economic Continuity State
The principal output of ECOM is:
Governed Economic Continuity State
Possible states may include:
Economically Sustainable
Sustainable with Strong Margin
Conditionally Sustainable
Cost-Escalation Exposed
Scale-Constrained
Maintenance-Constrained
Replacement-Constrained
Provider-Pricing Exposed
Transition-Constrained
Economically Locked-In
Value-Support Constrained
Funding-Constrained
Degrading
Structurally Unsustainable
Evidence-Limited
Unresolved
The state should identify the mechanisms responsible for the conclusion.
49. Minimum Implementation Framework
A conforming implementation of ECOM must provide exactly the following six capabilities:
1. Economic Continuity Object & Boundary Governance
Capability to define the intelligence operating model, lifecycle economic horizon, relevant economic boundary, baseline, and material cost structure.
2. Cost Structure, Driver & Trajectory Governance
Capability to identify recurring, fixed, variable, maintenance, replacement, scaling, and other material costs; determine their drivers; and assess economic trajectories.
3. Scale, Margin & Value-Support Governance
Capability to assess Economic Continuity Margin, margin deterioration, economies or diseconomies of scale, unit economics where appropriate, and the continuing relationship between economic burden and governed Value.
4. Lifecycle, Transition & Lock-In Economics Governance
Capability to assess maintenance, replacement, upgrades, infrastructure expansion, transition, migration, exit, contractual exposure, provider pricing, and Economic Lock-In.
5. Economic Evidence, Stress & Integrity Governance
Capability to preserve observed evidence, forecasts, scenarios, assumptions, uncertainty, stress tests, drift, versioning, provenance, and economic assessment integrity.
6. ISS Dependency Sustainability Handoff Governance
Capability to produce a Governed Economic Continuity State sufficiently explicit for subsequent Dependency Sustainability governance.
50. Governance Logic
The canonical ECOM governance logic is:
Governed Sustainability Threshold State
↓
Governed Execution Energy Viability State
↓
Governed Infrastructure Sustainability State
↓
Governed Intelligence Economy State / Governed Strategic Value State
↓
Identify Economic Continuity Object
↓
Define Economic Boundary / Lifecycle Horizon
↓
Establish Economic Continuity Baseline
↓
Observe Current Economic State
↓
Identify Recurring / Fixed / Variable Costs
↓
Identify Material Cost Drivers
↓
Assess Cost Trajectory / Escalation / Volatility
↓
Assess Economic Margin / Margin Trend
↓
Assess Continuing Value Support
↓
Assess Scale Economics
↓
Assess Maintenance / Replacement / Upgrade Economics
↓
Assess Infrastructure Expansion Economics
↓
Assess Transition / Migration / Exit Economics
↓
Assess Provider Pricing / Contractual Exposure
↓
Assess Economic Lock-In
↓
Assess Funding / Subsidy Conditions
↓
Identify Economic Failure Modes / Drift
↓
Stress Test Material Economic Conditions
↓
Assess Evidence / Forecasts / Uncertainty
↓
Establish Governed Economic Continuity State
↓
Handoff to Dependency Sustainability Governance
51. Governance Outputs
ECOM may produce:
Economic Continuity Object
Economic Continuity Boundary
Lifecycle Economic Horizon
Economic Continuity Baseline
Current Economic State
Recurring Cost State
Fixed Cost State
Variable Cost State
Cost Driver Record
Cost Trajectory State
Cost Escalation State
Cost Volatility State
Economic Continuity Margin
Economic Margin Trend
Value Support State
Scale Economics State
Maintenance Economics State
Replacement Economics State
Upgrade Economics State
Infrastructure Expansion Economics State
Transition Economics State
Migration Economics State
Exit Economics State
Provider Pricing Exposure State
Contractual Economic Exposure State
Economic Lock-In State
Funding Continuity State
Economic Failure Mode Record
Economic Drift State
Economic Stress State
Economic Scenario Record
Economic Forecast State
Economic Uncertainty State
Economic Evidence Record
Economic Version
Economic Provenance
The principal output is:
Governed Economic Continuity State
52. Critical Distinctions
ECOM preserves the following distinctions:
Current Economic Viability ≠ Economic Continuity
Short-Term Affordability ≠ Lifecycle Economic Continuity
Current Cost ≠ Lifecycle Cost
Stable Cost ≠ Stable Economic Continuity
Cost Increase ≠ Cost Driver Identification
Affordable Pilot ≠ Economically Sustainable Scale
More Scale ≠ Lower Unit Cost by default
Replacement Cost ≠ Current Operating Cost
Ability to Stop ≠ Costless Exit
High Switching Cost ≠ Continued Economic Justification
Sunk Cost ≠ Future Economic Justification
Budget Availability ≠ Economic Continuity
Funding Support ≠ Self-Sustaining Economics
Strategic Value ≠ Unlimited Economic Continuity
Projected Affordability ≠ Economic Continuity
Economic Continuity ≠ Investment Authority
Economic Continuity Evidence ≠ Continuation Decision
53. Cross-Architecture Boundary
ECOM governs long-term Economic Continuity of the intelligence operating model.
It does not replace IES.
IES governs whether the total governed cost of producing validated outcomes is justified by the Value created.
ECOM governs whether the economic conditions supporting that intelligence can remain viable over its intended lifecycle.
RGS governs intelligence execution resources.
COS governs Computational Optimization.
SVGS governs Strategic Value and Capital-at-Risk.
ISM governs Infrastructure Sustainability.
The subsequent ISS mechanism governs Dependency Sustainability.
VAS governs Value Attribution.
DGS governs final lifecycle Decision Governance.
ECOM does not determine accounting policy, financing strategy, investment authority, corporate budgeting, taxation, market valuation, or legal liability.
HAGA™ governs Harm.
LIGA™ governs Liability.
VALIDOS™ may govern validation methodology.
ADIT® may govern evidence and auditability.
54. Canonical Boundary
ECOM begins when the intelligence operating model has sufficiently defined economic, infrastructure, sustainability, and Value conditions to evaluate its economic viability across the intended lifecycle.
ECOM governs:
Economic Continuity Objects,
economic boundaries,
lifecycle economic horizons,
economic baselines,
current economic states,
recurring costs,
fixed and variable costs,
cost drivers,
cost trajectories,
cost escalation,
cost volatility,
Economic Continuity Margins,
margin consumption and recovery,
Value support,
scale economics,
economies and diseconomies of scale,
maintenance economics,
replacement economics,
upgrade economics,
infrastructure expansion economics,
transition economics,
migration economics,
exit economics,
provider pricing exposure,
contractual economic exposure,
Economic Lock-In,
sunk-cost boundaries,
funding conditions,
subsidized continuity,
economic failure modes,
economic deterioration,
Economic Continuity Drift,
stress testing,
scenarios,
forecasting,
uncertainty,
evidence,
versioning,
and provenance.
ECOM does not independently govern:
immediate Intelligence Economy,
Strategic Value,
Capital-at-Risk,
Infrastructure Sustainability,
Dependency Sustainability,
corporate budgeting,
financing decisions,
investment authority,
Value Attribution,
Harm,
Liability,
or final continuation, scaling, migration, and retirement decisions.
ECOM ends when the economic conditions required for sustainable intelligence operation have been represented as a:
Governed Economic Continuity State
for subsequent Dependency Sustainability governance.
55. Use Case 1 — AI Service Is Profitable Today but Cost Grows Faster Than Usage Value
An organization operates an AI service with acceptable current economics.
IES confirms that the present cost of producing validated outcomes remains justified.
As adoption grows, however:
context length increases,
reasoning demand rises,
support requirements grow,
infrastructure must expand,
and provider charges increase.
Revenue and operational Value also grow, but the economic burden grows faster.
ECOM evaluates:
the cost trajectory,
scale economics,
Economic Continuity Margin,
infrastructure expansion cost,
provider pricing exposure,
and continuing Value support.
The service may therefore remain economically justified today while developing an unsustainable lifecycle trajectory.
Current Economic Viability ≠ Economic Continuity.
56. Use Case 2 — Strategic AI Program Can Be Funded but Becomes Expensive to Leave
An organization funds a strategically important AI platform.
The program has sufficient budget and legitimate Strategic Value.
Over time, however:
specialized infrastructure is acquired,
long-term provider commitments are signed,
integrations deepen,
data migration becomes complex,
and switching costs increase.
The organization can still afford the system.
But the economic cost of changing or leaving it is becoming increasingly significant.
ECOM records:
contractual economic exposure,
migration economics,
exit economics,
Economic Lock-In,
and the continuing relationship between economic burden and governed Strategic Value.
Budget Availability ≠ Economic Continuity.
High Switching Cost ≠ Continued Economic Justification.
57. Canonical Closing Statement
Economic continuity is not established because intelligence can be afforded today.
Current cost can be acceptable while future cost accelerates.
A successful pilot can become economically disproportionate at scale.
Infrastructure can remain technically sustainable while its maintenance and replacement burden becomes economically unsustainable.
And an organization can possess enough money to continue while the economic structure supporting that continuation steadily deteriorates.
Current Economic Viability ≠ Economic Continuity.
Affordable Pilot ≠ Economically Sustainable Scale.
Budget Availability ≠ Economic Continuity.
Sunk Cost ≠ Future Economic Justification.
The economic question changes as intelligence moves through time.
It is no longer only:
“Was this execution worth its cost?”
It becomes:
“Can the economic system supporting this intelligence continue to justify what keeping it alive will require?”
ECOM governs whether economically justified intelligence can remain economically viable for as long as its Value is expected to endure.