ChainAlign
Decision intelligence for enterprises. The system that captures why decisions were made, not just what was decided.
I am building ChainAlign as the decision infrastructure I wish I'd had in every S&OP, capex, and migration room I've been in.
The problem
Every enterprise has systems that record what happened and systems that predict what will happen. Between them sits the decision: who made it, what they knew, what they accepted, what they rejected. This is the most valuable data an organisation produces. It is never systematically captured.
What ChainAlign does
It instruments enterprise decisions. Not dashboards or copilots. Infrastructure that captures the reasoning behind commitments and builds organisational judgment over time.
Constraint-aware decisions. The system surfaces the trade-offs you are about to lock in before you commit. Capacity, working capital, regulatory boundaries. Visible at the point of commitment, not discovered in the post-mortem.
Decision traces. Structured records of what was known, assumed, and chosen. Queryable, auditable. When a regulator asks "why did we do this," the answer exists before the question.
Compounding judgment. Every override and correction becomes calibration data. Decision quality improves across cycles instead of resetting every planning period.
Simulation, not forecasting. Single-point forecasts pretend certainty. ChainAlign runs millions of simulations to show you the range of outcomes, not just the most likely one. A canary system monitors the long tail: the scenarios that models dismiss but boards lose sleep over.
Nine domains, from S&OP intelligence to supply chain resilience. See the full catalogue at chainalign.com/domains.
The thesis
The scarce resource in an age of abundant computation is not intelligence. It is judgment. Judgment does not accumulate by default. It has to be instrumented.
Built by a founder who spent 25 years in the rooms where these decisions fail. Designed to be EU AI Act compliant from day zero rather than retrofitted later.