Ausgabe · 018August 24, 2026
Balancing enterprise AI governance with business velocity through lightweight intake
For forty years, I have watched governance committees turn good intentions into bureaucratic gridlock. When new capabilities arrive—whether it was relational databases in the 1980s or generative models today—the instinct of risk management is to erect a tollbooth.
The problem is that tollbooths…
Ausgabe lesen →Ausgabe · 017August 21, 2026
Agentic AI and the discipline of permission tiering
The vendor demonstration usually shows an agentic AI system effortlessly resolving complex customer inquiries, updating financial ledgers, and adjusting inventory levels without human intervention. In the boardroom, this looks like pure efficiency. In the executive suite of an operating business,…
Ausgabe lesen →Ausgabe · 016August 20, 2026
AI cost control requires looking past token pricing to true task economics
When cloud migration started fifteen years ago, many IT organizations made the mistake of tracking server hours instead of business workload outcomes. We are making the exact same error with generative AI today by focusing on cost per token rather than cost per resolved task.
Inference costs rar…
Ausgabe lesen →Ausgabe · 015August 19, 2026
Structuring accountability for artificial intelligence on the executive org chart
Most enterprise software projects fail due to poor scope, but AI initiatives typically stall because nobody knows who actually owns the operational outcome once a model goes into production. When a board asks who is responsible for an automated decision, the usual answer is a committee rather tha…
Ausgabe lesen →Ausgabe · 014August 18, 2026
Why enterprise AI pilots die before reaching production
Enterprise AI initiatives rarely fail because the underlying math was flawed. They die quietly in sandbox environments because nobody prepared the operational environment for what happens on day two.
Over four decades in IT, I have watched this exact cycle repeat with expert systems, data lakes,…
Ausgabe lesen →Ausgabe · 013August 17, 2026
Timing your AI strategy without chasing vendor timelines
Board members and executive committees are asking a familiar question this quarter: have we missed the boat on AI? Watching competitors issue press releases about generative tools creates understandable anxiety at the leadership table.
Having managed enterprise IT transitions since 1980, I can a…
Ausgabe lesen →Ausgabe · 012August 12, 2026
How solar eclipses and natural phenomena test enterprise resilience
When a solar eclipse occurs, the physical effects on server hardware are minimal, but the indirect operational ripples are real. Solar power generation drops rapidly across affected regions, cell towers choke on localized crowd density, and subtle changes hit the upper atmosphere.
In my four dec…
Ausgabe lesen →Ausgabe · 011August 10, 2026
Grounding small-town entrepreneurship with practical artificial intelligence tools
Two founders launching a business in rural West Virginia face classic operational constraints: tight capital, a limited local labor pool, and reliance on strong personal relationships. Over my forty years in IT, I have watched small operators try to solve these problems by working longer hours un…
Ausgabe lesen →Ausgabe · 010August 8, 2026
Finding time for executive AI education across distributed operations
Executive schedules in multi-site businesses are consumed by operational fires across dozens or hundreds of locations. Finding structured hours to study artificial intelligence feels near impossible when you are managing day-to-day outages, staffing shortages, and vendor integrations.
Yet, falli…
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