AI strategy built for organizations that can't afford to get it wrong.

We combine MIT-developed Dynamic Work Design with applied AI strategy to help complex organizations move from experimentation to execution.

Services

Two engagement models. One standard of rigor.

AI Strategy Advisory

From competitive landscape to board-ready AI roadmaps. We diagnose where AI creates real leverage, model the economics, and deliver decisions you can defend.

Market & competitor diagnostics
Use-case prioritization
Board-ready roadmaps

Embedded AI Advisory

A senior advisor embedded inside your organization for accelerated transformation. We sit with your team, redesign the work, and stay until it operates.

Hands-on engagement
Cross-functional alignment
Execution accountability

Approach

A three-step method, applied with discipline.

Diagnose

Map the work and the processes that actually run the organization, not the org chart version.

Design

Integrate AI into the work using Dynamic Work Design — surfacing problems early and engineering for resolution.

Deploy

Embedded execution support until the new operating model is running and measurably better.

About

Academic rigor. Operational reality.

Praxis AI Advisory was founded by MIT Sloan graduates who have built and deployed AI strategy inside some of the world's most complex organizations. We bring academic rigor and operational reality to every engagement.

Co-Founder & AI Strategy Lead

Co-founder

MIT Sloan MBA. Research scientist and AI market intelligence lead at a Fortune 500 technology company. 10+ years spanning competitive intelligence, venture investment, AI commercialization, and go-to-market strategy across manufacturing, AEC, and media industries.

Co-Founder & Advisory Lead