Explainable
Show the causal and financial reasoning behind every analysis.
Sphere progressively models the internal and external relationships relevant to the decision under evaluation. It begins with available enterprise evidence, is reviewed with your subject-matter experts, and expands only as subsequent decisions require additional context.
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
Suppliers, components, costs, availability, locations, logistics, lead times, dependencies, and external exposure
Product architecture, capacity, throughput, inventory, quality, facilities, and operating constraints
Demand, pricing, mix, channels, retention, competition, market structure, locations, and relevant patterns of change
Revenue, margin, working capital, cash flow, NPV, ROIC, financing implications, and capital exposure
Predictions, assumptions, evidence, owners, monitored conditions, approved commitments, actual results, and recalibration
Enterprise context beneath every analysis.
Show the causal and financial reasoning behind every analysis.
Distinguish observed data, management input, inferred relationships, external evidence, and modeled ranges.
Show evidence strength, sensitivities, missing information, and the conditions most likely to change the view.
Record the decision, owner, prediction, monitoring thresholds, and agreed response before commitment.
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.