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The next test for enterprise AI is whether it can work within the obligations, exceptions and decisions that make a business what it is.
Estimated reading time10minRead discussionEarlier editions are retrospective essays prepared for this archive. Their edition dates organize the weekly series; they are not original publication dates.
Matching editions: 13
Why insurers need to understand the losses, premium, period and reinsurance behind every ratio—and how AegisNow connects that understanding to better decisions.
Estimated reading time7minRead discussion: The loss ratio is a basis, not a numberITC Vegas, Day 2 — September 30, 2026: accountability in autonomous mobility, more than 10 Genellipse demonstrations and presentations, and three additional follow-up meetings.
Estimated reading time6minRead discussion: Autonomous mobility insurance: Rewriting risk in a driverless worldAn actuarial perspective on life insurance, annuities and valuation: better decisions, deeper model challenge and the discipline required to earn confidence in AI.
Estimated reading time11minRead discussion: Actuarial AI: why the time to act is nowA model decision should reflect the task, the review burden, and the operating context.
Estimated reading time2minRead discussion: Choose an AI model for the job it must do.Continue, adapt, or stop based on what the work has actually shown.
Estimated reading time2minRead discussion: The midyear AI review should welcome an honest answer.Cost, energy, and usefulness should be considered together.
Estimated reading time2minRead discussion: AI efficiency deserves a place in the value discussion.The most useful procurement questions are about responsibility after selection.
Estimated reading time2minRead discussion: Buy an operating capability, not a demonstration.Reading the 2026 AI Index through the lens of a business decision.
Estimated reading time2minRead discussion: AI progress makes evaluation more important.The conversation about trustworthy AI must include operating dependencies.
Estimated reading time2minRead discussion: Critical services need AI decisions that can be explained.A capable model cannot settle an argument about what the information means.
Estimated reading time2minRead discussion: Trusted data is an operating responsibility.Useful autonomy depends on knowing what an agent is allowed to do.
Estimated reading time2minRead discussion: An AI agent needs a job description and a boundary.Everyone needs a practical understanding of the tools that influence their work.
Estimated reading time2minRead discussion: AI literacy starts with the questions people ask.An AI agenda should start with a business purpose, an accountable owner, and a useful measure.
Estimated reading time2minRead discussion: Begin the year with a problem worth solving.
