An independent strategy and advisory firm

In the M&A practice of a global consulting firm, the work was buy-side diligence at full depth: building the financial projections behind a live deal, establishing market attractiveness across 65+ competitors and 55+ market reports, and pressure-testing the thesis through more than 20 expert interviews. The engagement ran past the signature: shaping a post-merger roadmap targeting $150M in annual synergies through AI transformation, supply-chain globalization, and operating-model optimization, and contributing to the post-merger organization design for a combined workforce of more than 2,000 people. That is the founder's prior engagement, not a Praxis client result.

Praxis grew out of this practice. A search and growth consultancy, EliteSEO paired digital strategy with real analytical discipline in the founder's time running it: a $32M revenue opportunity identified for a global tennis-court manufacturer, and 30% growth for a nuclear-diving company built on competitive analysis, digital strategy, AI-powered workflows, and new acquisition channels. Praxis widened the aperture from search to strategy: the habit of tying every recommendation to a client's actual growth carried over intact. EliteSEO still operates, separately, as an affiliated practice.

Private-equity investing is judgment under diligence pressure, and this was a full cycle of it: supporting a $20M+ acquisition, sitting in 12+ meetings with acquisition targets, and evaluating each opportunity against the fund's thesis. The other half of the work was building automated sourcing workflows that surfaced 250+ investment opportunities: an early proof of a conviction Praxis still runs on: disciplined process plus automation beats either one alone.

Litigation runs on financial evidence, and the work here was assembling it: analysis across a $6B insurance-fraud matter and a $10M estate dispute, distilled from more than 200 financial documents into a 100-page deposition and a 65-page appeal. It is the same muscle consulting depends on: reconstructing what actually happened from the numbers, then making the argument hold under hostile scrutiny.

Worked at the exact seam where finance meets AI: deep analysis of 10-Ks and SEC filings, authored more than 1,500 valuation and accounting Q&A sets, and built the evaluation frameworks used to test how well large language models reason about financial problems. Knowing where AI's financial judgment held, and where it broke, now underpins how Praxis advises on AI adoption.

Accounting fundamentals at scale: worked across more than a million data points spanning employee benefit plans, and tested the internal controls that kept that data trustworthy. Unglamorous, foundational work, and the source of a permanent respect for data integrity and for the controls behind every number a decision relies on.

In the chambers of a federal district judge, the work was financial and strategic analysis for the federal bench: more than 100 pages produced across 36 federal matters. Writing analysis a federal judge will rely on sets a bar for rigor and neutrality that commercial work rarely demands, and permanently benefits from.

Modeled data on 16,000+ loan officers into Power BI, drawing on more than 500K data points, and turned raw production data into the reporting a lending organization runs on day to day. It is where a founding conviction of Praxis took shape: analysis only counts once it changes how an operator works.