CREI Decision Infrastructure

Proprietary Decision Infrastructure for consequential enterprise decisions.

Logyc is the Decision Infrastructure used by CREI to reconstruct, model, and track consequential enterprise decisions — what management believed, what had to be true, what reality is producing, and where Decision Debt may be accumulating.

Selectively deployed inside enterprises through strategic relationships with CREI.

Explore Decision Infrastructure →Enterprise Relationships

How CREI uses Logyc

Winner, Factory category — Siemens MindSphere Future Factory Challenge, Expo 2020 Dubai.

Institutional architecture

CREI is the institution. Logyc is the infrastructure beneath it.

  1. The institution
    CREI
    ResearchEnterprise intelligenceCapitalInterventionOwnership
  2. Proprietary Decision Infrastructure
    Logyc
    SphereDecision MemoryEnterprise simulationPrediction & calibration
  3. How outside enterprises gain access
    Selective enterprise deployment
    OwnersBoardsManagement teamsPortfolio companiesStrategic partnersAligned enterprises
The decision gap

Your systems each hold part of the picture. Consequential decisions cross all of them.

ERP records operations. CRM captures customers. PLM describes products. Planning systems model financial outcomes. BI explains performance. Each holds a necessary but partial view — and a consequential decision crosses all of them at once.

Enterprise context

ERPCRMPLMFP&ABIDocumentsExternal conditionsOperating expertise
LOGYC
DECISION
INFRASTRUCTURE
Decision intelligence, as an output

Decision-ready analysis

Leading optionAlternativesEnterprise effectsAssumptionsDownsideConditionsOwnershipMonitoring

Experienced judgment deserves the whole enterprise in view.

Leadership brings judgment. Logyc brings the evidence, enterprise effects, and changing conditions into one reviewable analysis.

How Logyc works

One decision, evaluated with the enterprise in view.

01

Frame the decision

Define the alternatives, objectives, constraints, timing, risk appetite, approval authority, and accountable owner. Leadership defines what success means.

02

Connect and review the relevant context

Bring together the models, data, documents, operating knowledge, and external evidence the decision requires. Enterprise-designated experts review the material inputs before the analysis relies on them.

03

Model relationships and compare scenarios

Model how each path could move through products, operations, customers, markets, finance, cash, capital, and execution constraints.

04

Support the leadership commitment

Present the leading option, decisive reasons, modeled ranges, downside, uncertainty, and what would change the view. Leadership decides.

05

Monitor outcomes and recalibrate

Track the conditions leadership identified as decisive, compare expected with actual, and preserve the reviewed context for future analysis.

Context
Model
Compare
Commit
Monitor and learn
Decision Infrastructure that learns in two directions

Sphere learns the enterprise. Decision Memory learns from the decision.

Sphere progressively models how the relevant parts of the enterprise create value. Decision Memory preserves what leadership expected, approved, monitored, and learned. Together they give future analyses a better-calibrated starting point.

01

Sphere

Learns how the enterprise works

  • Value chains
  • Products
  • Operations
  • Customers
  • Markets
  • Finance
  • Capital
  • External conditions
02

Decision Memory

Learns from decisions and outcomes

  • Predictions
  • Assumptions
  • Evidence
  • Conditions
  • Ownership
  • Approved commitments
  • Actual results
  • Recalibration
03

Compounding intelligence

Improves the starting point for the next decision

  • Reviewed relationships can be reused
  • Tested assumptions become visible
  • Actual outcomes inform future scenarios
  • Analysis can become faster and more relevant

The first deployment establishes a working decision environment containing the reviewed model, assumptions, evidence, ownership, monitoring conditions, and decision record. It can remain bounded to one decision or expand only where you authorize broader use.

The enterprise model informs the decision. The outcome informs the next analysis.

Decision Debt

The economic exposure can accumulate before the P&L reveals the problem.

Decision Debt is the accumulating economic exposure created when the assumptions, predictions, or conditions underlying a consequential decision diverge from reality without the decision being reconsidered. Assumptions change, evidence moves, and dependencies emerge — but without a durable record, the original reasoning disappears while the exposure remains.

Decision
Prediction
Load-bearing assumptions
Observable evidence
Divergence
Decision Debt
Economic consequence

Logyc helps preserve and monitor the chain before the outcome is known.

Explore Decision Debt →
Prediction & calibration

Prediction should eventually be scored.

A consequential decision should preserve not only what leadership chose, but what it expected to happen and with what confidence. The record is written before the outcome is known, so hindsight cannot quietly rewrite the thesis.

The decision record survives the outcome

PredictionWhat leadership expected to happen
ConfidenceHow strongly it was held at the time
Expected rangeThe modeled outcome band, not a point estimate
Load-bearing assumptionsWhat had to be true for the view to hold
Evidence forWhat supported the view
Evidence againstWhat contradicted it, recorded rather than discarded
What would change the viewThe conditions defined in advance
Actual outcomeWhat reality produced
CalibrationHow expectation compared with outcome

Reality becomes the scoring mechanism.

How calibration works →
How CREI uses Logyc

Decision Infrastructure beneath CREI enterprise intelligence.

CREI develops independent views of companies. Logyc is the infrastructure that supports those views, helping reconstruct what was decided, what was expected, what had to be true, and what reality has since produced.

The loop

Decision reconstruction
Enterprise model
Prediction
Evidence
Decision Debt
Economic consequence
CREI view
Action where warranted
Outcome
Decision Memory
Improved future analysis

Where a view identifies material discrepancy, CREI may continue monitoring, engage owners or boards, work with management, structure an aligned enterprise relationship, or, where warranted, allocate capital and participate in value creation. Sometimes the conclusion is that management is right and the decision is better than it appears.

See the full loop →
How Logyc is deployed

Decision Infrastructure inside the enterprise.

Logyc is not broadly sold as conventional enterprise software.

CREI selectively works with enterprises that want to build Decision Infrastructure inside their organizations, particularly where consequential decisions, significant capital commitments, or accumulated Decision Debt justify deeper institutional engagement.

Enterprise Relationships →
Illustrative decision record

What a decision looks like on the record.

A worked example of how a consequential decision is held in Logyc.

Decision under evaluation
National Expansion
Illustrative decision record
Logyc analysis
Leadership review
Approved decision
Monitoring
Outcome review
Current analytical view
Proceed in phases
For leadership review
Analysis basis
Current evidence, enterprise-reviewed assumptions, and modeled scenarios
Five-year incremental NPV
+$128M to +$196M
Under the stated base-case scenarios
Adverse-case five-year NPV
−$40M to −$95M
Under the modeled adverse scenarios
Capital exposure
$420M
Confidence
68%
Stated at decision time, later scored against outcome
Evidence strength
Moderate–High
Decision owner
COO
Approval authority
CEO and Board
Next review point
Board review · Q3
Model sensitivity
Demand and cash conversion
What would change the view
Pause Phase 2 if the rolling 90-day demand outlook falls more than 12% below the approved base case, service performance falls below 95%, or projected cash conversion exceeds 75 days.

Illustrative only. Not an enterprise result, forecast, guarantee, or CREI investment view. Modeled ranges depend on the stated information, enterprise-reviewed assumptions, and defined scenarios. Leadership retains decision authority.

Enterprise environment · Trust

Fits the environment you already operate. Built for review, not blind reliance.

  • No rip and replace. Logyc is designed to work alongside the systems you already run, not to replace them.
  • Start with available evidence. Use current models, exports, documents, system connections, and management knowledge rather than waiting for perfect data.
  • Connect only what the decision requires. Bring in the context the decision needs to be evaluated credibly, and no more.
  • Private and controlled. Support enterprise access controls, security review, data boundaries, and private deployment requirements.
  • Expand only where warranted. Extend to additional decisions only where you determine broader use is warranted.
  • Leadership retains decision authority. Logyc supports the analysis; the decision, approval, and implementation remain with the enterprise.

Designed to work alongside

ERPCRMPLMFP&ABIPlanning toolsCloud environmentsDocumentsFinancial modelsOperating models
Trust and methodology →
Enterprise relationships

Where an enterprise relationship begins.

If you are an owner, board member, CEO, CFO, or senior executive facing a consequential decision with material economic exposure, CREI can determine whether Decision Infrastructure belongs inside the enterprise.

Explore Decision Infrastructure

Logyc is not broadly sold as conventional enterprise software.