Published Research & Analysis

Insights

Practitioner research on AI preparedness, organizational readiness, and the decisions that compound before 2030.

Master Practice Architecture
LEAD
September 2026  ·  Flagship Governance Framework · Decision Gate 01
The Executive Governed AI Manifest: Enterprise AI Governance, Liability Boundaries, and Board-Level Accountability
The Board and Audit Committee will ask the CEO, not the CIO, who owns AI risk. How executive leadership can establish model lineage, autonomous decision rights, multi-model tribunal oversight, and an evidentiary audit corpus before annual operating plans harden.
→ RSCH
September 2026  ·  Evidentiary Research Monograph
The Record Is Not the Memory: Why the Summary Is Never Evidence in Enterprise AI
Enterprises deploying AI on lossy summaries or unverified retrieval pipelines accumulate invisible liabilities. When regulators or audit committees ask for provenance, summaries cannot prove what actually occurred.
→ ARCH
August 2026  ·  Master Practice Architecture
The Five Crises of Modern Enterprise AI Governance
88% of enterprises deploy AI, yet 81% report zero bottom-line gain. An empirical deconstruction of the structural mismatch destroying enterprise AI value.
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Quarterly Analysis
Q3
July 2026  ·  Q3 Analysis
The Q3 AI Budget Trap
Why organizations are funding transformation before building the foundation, and what to do before Q3 budget decisions close.
→ Q2
Q2 2026  ·  Executive Brief
The Q2 Imperative: Why AI-Preparedness Is Not Optional
The case for AI preparedness as an execution problem, not a strategy problem. 95% of companies fail to achieve measurable financial impact from generative AI.
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Five Constraints Series

A diagnostic series mapping the five organizational constraints that block AI-preparedness before a single dollar of AI investment is made.

01
Five Constraints Series
The Board Deck Is Not a Strategy
Why the AI slide in your board deck does not constitute a strategy, and what the distinction costs when implementation begins.
→ 02
Five Constraints Series
Competence Theater
82% of companies provide AI training; 59% still report a skills gap. The credential is not the capability.
→ 03
Five Constraints Series
Why Your AI Program Cannot Account for Itself
78% of executives cannot pass an independent AI governance audit within 90 days. The accountability vacuum hiding inside most AI programs.
→ 04
Five Constraints Series
The AI Budget You Don’t Know You Have
The invisible AI spend most organizations are already making, and the governance decisions that determine whether it compounds or dissipates.
→ 05
Five Constraints Series
Nobody Owns the AI Failure, and You Are Paying for It
When 59% of IT claims ownership of AI outcomes and 61% of Operations makes the same claim simultaneously, the accountability vacuum is structural.
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Manufacturing Series

A four-part series for CFOs and CTOs on the architectural and workforce decisions that determine competitive position in AI-integrated manufacturing before 2030.

01
Manufacturing Series  ·  Article 01 of 4
The 2030 Decision Window: A Manufacturing Agenda for CFOs and CTOs
58% of enterprises are deploying physical AI. Only 16% are hitting their targets. The architectural commitments that close that gap will largely be made in the next four years.
→ 02
Manufacturing Series  ·  Article 02 of 4
The Balance Sheet of IT/OT Convergence: The CFO’s 2030 Deadline
IT/OT convergence is the foundational decision behind every AI initiative in manufacturing. The CFO case for starting before the urgency becomes obvious.
→ 03
Manufacturing Series  ·  Article 03 of 4
The Workforce Gap No One Is Budgeting For: Why 2030 Is the Deadline
Factory operations will be 54% AI-augmented by 2030. The workforce investment to make it work is the gap most manufacturing organizations are not treating as a deadline.
→ 04
Manufacturing Series  ·  Article 04 of 4
IT and OT: The Merge Can’t Wait
IT and OT operated as separate domains for most of manufacturing history. The infrastructure required for AI at scale requires convergence that takes years to build. 2030 is four years away.
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