Browse Dr. Joe Shepherd's writing on AI governance, PE operations, board advisory, and product leadership.
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Showing 12 of 22 articles · Page 1 of 2
Successful tool calls, completed workflows, and clean audit trails do not prove an agent achieved the outcome. A new research paper proposes Outcome Assurance: a task-level framework for verifying that agentic work actually finished, correctly.
Read →The AI business case ends at hours saved. That is the midpoint of the decision, not the end of it. The unasked question is where the value went, who holds a claim on it, and what survives displacement.
Read →Software was always the infrastructure between the intent and the result. AI lifts the constraint that made the artifact the job — and surfaces the harder discipline underneath: owning the venue, not the event.
Read →Traditional software is shaped the way it is because it cannot understand intent. AI removes that constraint — and with it, most of the scaffolding we have been calling product.
Read →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.
Read →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 →Defense transformation fails when programs stop at software factories, landing zones, and cloud migration mechanics. Real progress requires a mission-led operating framework that connects people, process, technology, and battlefield outcomes.
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