Technical Reference / Simulation logic
Technical ReferenceSimulation logic and assumptions
Every equation, threshold and assumption used by the Architecture Lab. All values are illustrative; none is a validated industry measure.
Entropio complexity position
The progression is BlueHour's conceptual model of unmanaged instability, not an empirically universal law. Thresholds are illustrative.
The Enterprise Under Stress
Fictional enterprise
| name | Meridian Industries |
| fictional | yes |
| revenueM | 10000 |
| techSpendM | 1500 |
| employees | 25000 |
| apps | 1200 |
| integrations | 4500 |
| agents | 150 |
| erps | 4 |
| contributionMargin | 0.35 |
| lostRevenueShare | 0.4 |
| description | A fictional diversified multinational with multiple legacy ERP systems, significant cloud and SaaS dependencies, and complex human and automated approval structures. |
Traditional Operating Model baseline
| apps | 1200 |
| integrations | 4500 |
| agents | 150 |
| velocity | 5 |
| controlEff | 0.4 |
| tolerance | 1.0 |
| recovery | 0.35 |
| transition | 0.0 |
| detectMin | 45 |
| approvalLatencyMin | 40 |
| decisionPrepMin | 90 |
| txCapM | 1.0 |
| cumCeilingM | none |
| reach | 6 |
| authorityAuto | no |
| agentOwnerKnown | no |
| sessionRevokeAuto | no |
| forensicsAuto | no |
| dependencyMap | no |
| segmentation | no |
| altWorkflows | no |
| fort | no |
| dromio | no |
| volley | no |
| provenanceCoverage | 0.55 |
Stage 2 options
| Option | Year-one investment | Human weeks | Modeled annual opportunity | Changes to the architecture |
|---|---|---|---|---|
| A. Accelerate AI deployment | $60M | 40 | $180M | agents +100, apps +10, integrations +300, detectMin +15, reach +2, approvalLatencyMin +5 |
| B. Strengthen cybersecurity | $45M | 60 | $0M | controlEff +0.2, apps +6, detectMin -30, approvalLatencyMin -10, recovery +0.1, sessionRevokeAuto = yes, forensicsAuto = yes, segmentation = yes |
| C. Modernize the Operating Model | $38M | 120 | $150M | apps -96, integrations -540, controlEff +0.15, transition +0.04, recovery +0.2, detectMin -10, approvalLatencyMin -25, decisionPrepMin -70, reach -3, txCapM = 0.25, cumCeilingM = 2.0, authorityAuto = yes, agentOwnerKnown = yes, dependencyMap = yes, altWorkflows = yes, fort = yes, dromio = yes, volley = yes, provenanceCoverage +0.4 |
Event and operations
| txPerMin | 2 |
| avgTxM | 0.6 |
| screening | 0.25 |
| hardStopMin | 240 |
| residualQueueMin | 10 |
| settledShareAtStart | 0.33 |
| settleTimeConstMin | 360 |
| recallSuccess | 0.9 |
| legitPaymentsInBatch | 14 |
| supplierDisruptionPerPaymentM | 0.15 |
| revenueSharePerSystem | 0.05 |
| maxInterruptedShare | 0.6 |
| shutdownWindowH | 4 |
| restoreBaseH | 8 |
| restorePerSystemH | 3 |
| recoveryExpensePerSystemM | 1.2 |
| noEvidenceInvestigationM | 3.0 |
| laborRatePerHourM | 0.00012 |
| baseWorkloadH | 400 |
| workloadPerSystemH | 200 |
Fairness rules
- Both columns of the comparison face the same event and start from the same enterprise. The Traditional Operating Model column replays your own Stage 5 to 9 decisions; where its architecture cannot execute a decision, the engine records that and falls back as stated above.
- No path receives a fixed result. Strengthened cybersecurity run poorly can end worse than the untouched baseline; modernization run poorly loses truth integrity and recovered funds.
- The modeled annual opportunity of each option is shown but never added to the outcome.
Other laboratories
The Entropio Laboratory uses the complexity equations above on a fixed 16-node dependency network: a disturbance crosses an edge of weight w when w × ratio × (1 + 0.05 × velocity) > 0.45 + 0.5 × controlEffectiveness, plus 0.3 × recoveryCapacity once people intervene at the human decision latency; each wave takes 10 / (1 + 0.1 × velocity) minutes. The Capital Discipline simulator's scoring weights are shown and editable on its page. The Truth Preservation, Human Continuity and Modernization Path demonstrations are rule-based and state their rules on the page.