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 contributes an essential part of the enterprise view. A consequential decision often crosses all of them at once. Logyc brings the relevant evidence, models, assumptions, constraints, external conditions, and operating knowledge into one reviewable environment, so leadership can compare the available paths with the broader enterprise in view.
Enterprise context
ERPCRMPLMFP&ABIDocumentsExternal conditionsOperating expertise
LOGYC
DECISION
INTELLIGENCEOne reviewable analysis
DECISION
INTELLIGENCEOne reviewable analysis
Decision-ready analysis
Analytical recommendationAlternativesEnterprise effectsAssumptionsDownsideConditionsOwnershipMonitoring
Built for experienced leadership teams
Experienced judgment deserves the whole enterprise in view.
Consequential decisions become difficult when their effects cross functions, systems, assumptions, constraints, and time horizons. Logyc brings those effects into one shared view so leadership can examine the trade-offs, test where the reasoning is most exposed, and decide with the material conditions made explicit.
Leadership brings judgment. Logyc brings the relevant 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 decision, alternatives, objectives, constraints, timing, risk appetite, approval authority, and accountable owner. Leadership defines what success means.
02
Build and review the relevant enterprise model
Connect the data, models, documents, external conditions, and operating knowledge required to evaluate the decision. Customer-designated subject-matter experts review the material inputs, assumptions, constraints, and enterprise relationships. Logyc begins with available evidence rather than requiring a complete model of the company.
03
Compare the alternatives
Model how each path could affect operations, products, customers, markets, finance, cash, capital, and execution constraints.
04
Form the analytical recommendation
Present the current leading option, decisive reasons, modeled ranges, potential downside, material uncertainty, and the conditions that would change the view. The recommendation is prepared for leadership review. Leadership makes the final decision.
05
Monitor and learn
Track the assumptions and conditions leadership identified as decisive. When a material condition changes, Logyc alerts the responsible owner and supports a timely review. Expected and actual results are compared, and the reviewed context is preserved for future authorized analysis.
Logyc begins with the decision in front of the organization. The enterprise context expands only where subsequent decisions require it.
A platform that learns in two directions
Sphere learns the enterprise. Decision Memory learns from the decision.
Logyc does more than produce an analysis. 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 authorized 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 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 enterprise relationships relevant to the decision under evaluation, from value chains and product architecture to operations, customers, markets, finance, capital, external conditions, and prior decisions. It begins with available evidence, is reviewed with customer subject-matter experts, and 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, 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, and market conditions
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 recommendation — a decision-bounded model built from available evidence and reviewed with the people who understand the business.
Enterprise decision infrastructure
A durable capability beneath the first decision.
The first deployment does more than produce an analysis. It establishes a working decision environment containing the model, assumptions, evidence, ownership, monitoring conditions, and decision record required to revisit the commitment as reality changes. The customer retains a working decision model and monitored record, not only a presentation or one-time analysis. That capability can remain bounded to one decision or expand when you determine broader use is warranted.
Living enterprise model
Relevant relationships, alternatives, scenarios, constraints, and value pathways.
Assumption and evidence structure
Material assumptions, evidence strength, sources, uncertainty, and limitations.
Decision record
Leadership-approved commitment, reasoning, ownership, authority, and next review point.
Monitoring
Material conditions, thresholds, indicators, and responsible owners.
Outcome review
Comparison of expected and actual results, including material variance.
Decision Memory
Preserved context that can support future authorized analyses.
First decision
Retained model
Monitored commitment
Outcome review
Recalibrated memory
Next decision
The first deployment creates more than an answer. It creates a reusable decision environment.
Decision Memory
Preserve the reasoning. Learn from the outcome.
Most systems record what happened. Decision Memory preserves what leadership expected, why it expected it, which assumptions mattered, what evidence was available, what conditions were monitored, and how the actual outcome 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 subsequent authorized decision can build on what the organization has already modeled, monitored, and learned.
Prediction recorded
Assumptions monitored
Conditions reviewed
Leadership responds
Outcome compared
Future analysis recalibrated
- Authorized decision records can inform future analyses within your environment.
- Actual outcomes can be used to 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.
AI-generated recommendations can be useful, but consequential enterprise choices require more than a plausible answer. They require the enterprise context, financial consequences, assumptions, constraints, evidence, ownership, and monitoring conditions necessary for leadership review. Logyc Sphere connects the proposal to the relevant enterprise model. Logyc then helps leadership evaluate the consequences before the proposal 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 a working Logyc decision environment around one current decision. Together with the leadership team, Logyc frames the alternatives, assembles and reviews the relevant enterprise context, models potential effects, identifies material assumptions and downside conditions, and creates the decision record and monitoring plan. The deployment remains bounded to the decision in front of the organization. Broader use is considered only after you have evaluated the usefulness of the first implementation.
01
Frame
Define the decision, alternatives, objectives, constraints, risk appetite, and accountable owner.
02
Connect and review
Assemble the models, data, documents, external conditions, and operating knowledge the decision requires, and review the material inputs and assumptions with customer subject-matter experts.
03
Compare
Model how each path could affect operations, finance, cash, capital, and execution.
04
Recommend and review
Present the leading option with its reasons, modeled ranges, downside, and conditions. Leadership reviews and decides.
05
Record and monitor
Capture the approved decision record and track the conditions leadership identified as decisive.
What you receive
- Decision framing and alternatives
- Working Logyc decision environment retained for the approved scope
- Decision-bounded enterprise model
- Customer-reviewed assumptions, constraints, and model relationships
- Scenario and sensitivity analysis
- Assumption and evidence register
- Modeled downside conditions
- Analytical recommendation for leadership review
- Executive and board-ready decision view
- Leadership-approved decision record
- Monitoring conditions and ownership
- Initial Decision Memory entry
- Optional roadmap for additional decisions
The first deployment proves value around one decision. The retained model becomes the starting point for any broader use you later authorize.
Enterprise environment
Fits the environment you already operate.
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
Trust and methodology
Built for review, not blind reliance.
A serious analytical recommendation earns trust because its reasoning, evidence, uncertainty, and limitations are visible, and because leadership retains authority over the decision.
Human decision authority
Leadership defines objectives, risk appetite, and approval rights. Logyc provides analysis and decision support.
Reviewable recommendations
Every recommendation shows its assumptions, evidence, alternatives, modeled ranges, uncertainty, and the conditions that could change the view.
Visible uncertainty
Outputs identify missing information, evidence strength, sensitivity, scenario dependence, and known model limitations.
Customer-reviewed context
Material enterprise relationships and assumptions are reviewed with customer-designated subject-matter experts before they are relied upon in the analysis.
The next decision
See the enterprise effects before you commit.
Bring Logyc one consequential decision. We will help your team frame the alternatives, build and review the relevant enterprise model, compare how each path could move through operations, products, markets, finance, and capital, and identify the downside and conditions that would change the view.
Leadership reviews, decides, and retains a monitored decision environment that can support future authorized analysis.
Start with one decision. Retain what the enterprise learns.