AI Productivity Is Not Prosperity
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 →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.
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.
An adaptation of Dr. Joe Shepherd's research paper on Outcome Assurance for agentic systems: why execution success is not completion, the four assurance layers, and what boards and operators should require before trusting an agent's 'done.' Full paper available for download.
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 →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 →The frameworks in these books are the foundation of the advisory work. If you want depth, start here.
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