Where to invest
Which analytics, AI, and simulation efforts deserve funding, and what must be true before they scale.
Praxis Advisory
Practical strategy for data, analytics, and AI.
For leaders deciding where models, measurement, and operating change are worth the cost.
Decision architecture before model deployment.
Analytics and AI investments become useful when evidence, authority, and operating accountability are designed together. Praxis Advisory works on the management system around the model: what decision is being made, who owns it, what evidence is credible, and what action follows.
What to trust
How to judge whether models, experiments, digital signals, and commercial analytics are producing evidence strong enough to use.
How to act
How decision rights, review routines, and escalation rules help leaders scale, stop, revise, or challenge analytic recommendations.
The work is grounded in commercial operations and quantitative marketing, with applications in digital, supply-chain, healthcare, and service settings where outcomes depend on many interacting parts.
Writing and materials.
Public work will be selective: papers, essays, slide decks, and teaching materials that are ready to stand on their own. Drafts and selected-reader materials stay outside the public build.
For serious operating questions.
Use the contact page for publishing inquiries, advisory conversations, or requests for public materials.