01
Sphere
Learns how the enterprise works
- Value chains
- Products
- Operations
- Customers
- Markets
- Finance
- Capital
- External conditions
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. Logyc brings the relevant evidence, assumptions, constraints, and operating knowledge into one reviewable environment.
Enterprise context
ERPCRMPLMFP&ABIDocumentsExternal conditionsOperating expertise
LOGYC
DECISION
INTELLIGENCEOne reviewable analysis
DECISION
INTELLIGENCEOne reviewable analysis
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 enterprise models, data, documents, operating knowledge, and relevant external evidence required to evaluate the decision. Customer-designated subject-matter experts review the material inputs, assumptions, constraints, and relationships. Logyc begins with available evidence rather than requiring a complete model of the company or its environment.
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 current leading option, decisive reasons, modeled ranges, potential downside, material uncertainty, and the conditions that could change the view. Leadership reviews the analysis and makes the decision.
05
Monitor outcomes and recalibrate
Track the conditions leadership identified as decisive, compare expected and actual results, and preserve the reviewed context for future analysis within the customer's governed environment.
Context
Model
Compare
Commit
Monitor and learn
A platform 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, incorporating external evidence where it materially affects the decision. Decision Memory preserves what leadership expected, approved, monitored, and learned. Together, within customer permissions and data boundaries, they give future analyses a stronger, better-calibrated starting point.
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.
Complexity, resolved
See the decision view first. Examine the reasoning at the depth your role requires.
Executive view
Analytical recommendationModeled value rangePotential downsideMaterial conditionsWhat would change the viewDecision ownerNext review point
Decision review
Alternatives consideredDecisive assumptionsEvidence strengthConstraintsScenario sensitivityExecution dependencies
Model detail
Enterprise relationshipsCalculation logicData lineageScenario configurationKnown limitationsMonitoring configuration
CEO & board
Strategic implications, enterprise value, downside, conditions, accountability, and decision authority.
CFO
Financial logic, cash effects, assumptions, sensitivities, financing implications, and capital exposure.
COO
Capacity, execution constraints, dependencies, operating indicators, and response options.
Decision team
Evidence, alternatives, model details, monitoring, and the decision record.
One shared enterprise analysis. The appropriate depth for each responsibility.
Powered by Logyc Sphere
A living model of how the enterprise creates value.
Logyc Sphere connects and progressively models the internal and external relationships relevant to the decision under evaluation — from value chains and product architecture to operations, customers, markets, finance, capital, and prior decisions. It begins with available enterprise evidence, incorporates relevant external conditions where they materially affect the decision, and is reviewed with customer-designated subject-matter experts. The model expands only as subsequent decisions require additional context.
Built decision by decision · Retained for authorized future use
01
Value chain and sourcing
Suppliers, components, costs, availability, locations, logistics, lead times, dependencies, and external exposure
02
Products and operations
Product architecture, capacity, throughput, inventory, quality, facilities, and operating constraints
03
Customers and markets
Demand, pricing, mix, channels, retention, competition, market structure, locations, and relevant patterns of change
04
Finance and capital
Revenue, margin, working capital, cash flow, NPV, ROIC, financing implications, and capital exposure
05
Decisions and outcomes
Predictions, assumptions, evidence, owners, monitored conditions, approved commitments, actual results, and recalibration
Value Chain
Product
Operations
Customer
Finance
Capital
Decision
Outcome
Recalibration
Enterprise context beneath every analysis.
Decision Memory
Preserve the reasoning. Learn from the outcome.
Most systems record what happened. Decision Memory preserves what leadership believed about the enterprise and the world around it when the decision was made — what it expected, why it expected it, which assumptions mattered, what evidence was available, what conditions were monitored, and how reality compared. That record gives future teams a more useful starting point than presentation archives, disconnected models, or institutional memory alone.
The first decision establishes the context. Each decision after it, within your governed environment, builds on what the organization has already modeled, monitored, and learned.
Prediction recorded
Assumptions monitored
Conditions reviewed
Leadership responds
Outcome compared
Future analysis recalibrated
- Decision records inform future analyses only within the appropriate customer environment.
- Actual outcomes can recalibrate assumptions and model relationships.
- Decision Memory operates within customer-defined permissions and data boundaries.
Every completed decision can make the next analysis more informed.
Enterprise context for AI-supported decisions
AI can propose a path. Logyc helps leadership test it against the enterprise.
A plausible answer is not enough for a consequential choice. Logyc Sphere connects an AI-generated proposal to the relevant enterprise model, so leadership can evaluate its consequences before it becomes an approved commitment.
Context before commitment
Connect the proposal to the company's relevant operating and financial relationships.
Consequence before approval
Model how the proposal could affect the enterprise under multiple scenarios.
Human authority throughout
Leadership reviews the evidence, makes the decision, approves the commitment, and retains responsibility for implementation.
Logyc is designed to support human decision-makers, not to replace decision authority or automatically execute consequential commitments.
What Logyc evaluates
Built for decisions that cross the enterprise.
Capital Allocation
How should available capital be allocated across competing uses, objectives, and constraints?
M&A
How could an acquisition affect value after financing, integration requirements, operating constraints, and downside scenarios are considered?
Capacity and Expansion
How do the build, acquire, outsource, consolidate, phase, and wait alternatives compare?
Product Portfolio
How could launch, redesign, repricing, scaling, or discontinuation affect the broader enterprise?
Supply Chain
How do sourcing alternatives compare across cost, resilience, service, cash, and dependency risk?
Enterprise AI
Which AI investments have a credible path to measurable value, and what conditions must hold for adoption and return?
First Decision Deployment
Start with one live consequential decision.
The First Decision Deployment establishes Logyc around one current decision, with a defined scope, an accountable owner, and defined completion criteria. Broader use is considered only after you have evaluated the usefulness of the first implementation.
01
Confirm the decision and deployment scope
One live consequential decision, one accountable executive owner, and a defined approval authority.
02
Establish the evidence and model boundary
Available models, data, documents, and operating knowledge — plus relevant external evidence where material and available.
03
Review assumptions and relationships
Your subject-matter experts review the material inputs before the analysis relies on them.
04
Deliver the decision analysis for leadership review
Alternatives, scenarios, downside, and the conditions that could change the view.
05
Establish the approved record and monitoring structure
Ownership, thresholds, correction triggers, and defined completion criteria.
What you receive
- Decision charter and alternatives
- Decision-bounded enterprise model
- Scenario, sensitivity, and downside analysis
- Assumption, evidence, and constraint register
- Analytical recommendation and executive decision view
- Leadership-approved decision record with ownership and authority
- Monitoring conditions, correction triggers, and responsible owners
- Initial Decision Memory entry and optional roadmap
You retain the reviewed model, decision record, monitoring structure, and initial Decision Memory — not only a presentation.
Enterprise environment · Trust
Fits the environment you already operate. Built for review, not blind reliance.
01
No rip and replace
Logyc is designed to work alongside the systems you already run, not to replace them.
02
Start with available evidence
Use current models, exports, documents, system connections, and management knowledge rather than waiting for perfect data.
03
Connect only what the decision requires
Bring in the context the decision needs to be evaluated credibly, and no more.
04
Private and controlled
Support enterprise access controls, security review, data boundaries, and private deployment requirements.
05
Expand only where warranted
Extend to additional decisions only where you determine broader use is warranted.
Designed to work alongside
ERPCRMPLMFP&ABIPlanning toolsCloud environmentsDocumentsFinancial modelsOperating models
Human decision authority
Leadership defines objectives, risk appetite, and approval rights, and makes the decision.
Reviewable analysis
Assumptions, evidence, alternatives, modeled ranges, and uncertainty stay visible.
Customer-reviewed context
Material relationships and assumptions are reviewed with your subject-matter experts.
The next decision
See the enterprise effects before you commit.
Bring Logyc one consequential decision. We will help your team frame the alternatives, compare how each path could move through the enterprise, and see the downside and the conditions that would change the view — then you decide, and keep the monitored decision environment.
Start with one decision. Retain what the enterprise learns.