CREI — Capital Returns & Equity Intelligence — was founded on a pattern observed over ten years and hundreds of enterprise decisions: the model was right, but the decision still failed. We exist to close that gap.
CREI began as Logyc — an enterprise modeling and simulation platform built to evaluate financial and operational decisions before execution. Over ten years, Logyc was deployed across operations, supply chain, and capital allocation — proving that the gap between good analysis and good decisions was not a data problem. It was a judgment problem.
The advisory practice emerged from that realization. Boards and CFOs were using the simulation outputs, but the hardest decisions still required something the platform couldn't deliver alone: an independent assessment of what the model couldn't see — governance risk, institutional incentives, false consensus, and the second-order consequences that only surface under adversarial scrutiny.
In 2026, Logyc was acquired by CREI, unifying the simulation engine and the decision intelligence practice under one firm. Today, CREI's advisory layer and Logyc's enterprise platform operate together — delivering intelligence that is both computationally rigorous and judgment-tested before capital is committed.
“The spreadsheet is correct — the assumptions are not.”
Across industries, the pattern is the same. The analysis is thorough. The model is defensible. And the decision still fails — because the risk that mattered was never in the model. CREI exists to find what was left out.
Andrew built Logyc over ten years into an enterprise simulation platform used by leadership teams to test capital allocation, supply chain, and risk decisions before committing resources. That work — and the recurring pattern of technically correct models leading to flawed decisions — led to the founding of CREI.
He contributes practitioner insight on capital allocation and decision-making under uncertainty to the Harvard Business Review Advisory Council, and advises on decision-critical enterprise systems through the AWS Advisory Customer Council.
Andrew engages selectively — through private strategic decision reviews for executives navigating moments where internal consensus has formed too quickly, or where institutional incentives have distorted risk perception.
Independent analysis for boards and CFOs on capital decisions where the cost of being wrong is asymmetric. Scenario modeling, threat assessment, and hidden liability surfacing — before the commitment is made.
Logyc's platform turns messy data and operator expertise into ranked decisions with clear trade-offs. End-to-end models across capital allocation, supply chain, and risk — delivered in weeks, not quarters.
Continuous threat monitoring, enterprise vulnerability mapping, and scenario modeling through a secure interface — calibrated to the capital decisions your organization is facing right now.
If you are responsible for a decision that will still matter five years from now,
you already know why this work exists.