The throughline across all of it is operating reality. Governance only matters if it changes decisions. Strategy only matters if it survives execution.
If you want the writing, browse it directly. If you want the practical framework, start with the playbook. No newsletter. No drip sequence.
Agentic systems are the engine. Discovery is the output. Once you separate the two, the strategic picture for operators, boards, and capital allocators looks very different.
Why the right way to read agentic AI is not as a productivity story but as a discovery story — what changes when finding out becomes abundant, who loses their moat, and what operators should do about it.
Read the article →Start with the most recent articles, then use the archive or search page to move by topic and operating question.
Browse the archive →AI is already making decisions at scale in most PE-backed and regulated businesses. The question is not whether to allow it — it is whether you designed it.
Read →As AI agents absorb more search, evaluation, and purchase work, brand shifts from narrative alone to machine-readable trust. Operators need a playbook for winning both human preference and agent recommendation.
Read →AI oversight in 2026 is no longer a technology update. Boards and PE sponsors need a defensible, evidence-based operating model that regulators, buyers, and insurers will recognize.
Read →Most private equity firms still talk about AI as a set of use cases. The firms that will create real value will treat it as a portfolio operating system spanning thesis, governance, execution, and exit proof.
Read →AI product teams fail when leaders treat data science and software engineering as the same workflow with different job titles. The more effective approach is to recognize the overlap, keep the lifecycle stages distinct, and switch the team’s operating mode at the right moment.
Read →My doctoral dissertation examined how U.S. defense vendor executives approach cloud-modern solutions under ATO constraints. The findings were less about compliance theater and more about expertise, funding, reuse, data governance, and operability.
Read →The frameworks in these books are the foundation of the advisory work. If you want depth, start here.
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