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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: 46
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 discussion: When the business changes, does your AI know?How leaders can redesign work, decision rights and accountability to turn AI capability into sustainable business value.
Estimated reading time9minRead discussion: Evolving Your Operating Model with Agentic AIWhy 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 numberA successful conference for Genellipse, strong interest in Cortex AI OS and AegisNow, and a practical agenda for AI, agentic workflows, autonomous mobility and lasting partnerships.
Estimated reading time7minRead discussion: ITC Vegas 2026: turning AI momentum into meaningful insurance outcomesITC 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 worldA positive first day: product demonstrations to 13 companies and investors, five follow-up meetings arranged, and strong interest in actuarial AI and Cortex AI.
Estimated reading time3minRead discussion: ITC Vegas, Day 1: AI takes centre stage—and the conversations become practicalAn 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 nowAegisNow, Cortex AI OS, and GeneData: connected insurance operations, governed AI agents, and a more productive data team.
Estimated reading time5minRead discussion: Meet me at ITC Vegas: making insurance work more efficiently.AegisNow, Cortex AI, and the role of partnership in insurance and financial services.
Estimated reading time4minRead discussion: Solving real business problems, together.A useful roadmap grows out of shared learning and clear business priorities.
Estimated reading time2minRead discussion: The next stage of AI should be shaped with our partners.The new academic term is a useful moment to reconsider what assistance is for.
Estimated reading time2minRead discussion: Learning with AI should leave the learner more capable.Product, security, and business teams should know how to work together when a problem appears.
Estimated reading time2minRead discussion: An AI incident needs a coordinated response.The human response to AI is part of the operating picture.
Estimated reading time2minRead discussion: Trust grows when people can question the result.A partnership is stronger when its interfaces and dependencies are understood.
Estimated reading time2minRead discussion: Connected systems should preserve meaningful choice.AI governance should stay connected to changes in the business.
Estimated reading time2minRead discussion: Readiness is a maintained practice, not a single sign-off.A useful system includes a way to continue when something goes wrong.
Estimated reading time2minRead discussion: An AI-enabled service still needs a recovery plan.Clear rules work better when people have a practical approved option.
Estimated reading time2minRead discussion: Unapproved AI use is a signal to examine the workflow.Early-career contributors need context, feedback, and a meaningful role.
Estimated reading time2minRead discussion: Mentorship is part of the AI delivery model.Claims, reinsurance, finance, and actuarial work need shared context.
Estimated reading time2minRead discussion: Insurance decisions deserve a connected operating picture.A 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.Accessibility belongs in product quality from the first design decision.
Estimated reading time2minRead discussion: A useful digital service must be usable by more people.Location, access, and responsibility need to be considered together.
Estimated reading time2minRead discussion: Data control is a question of operating choices.Cost, energy, and usefulness should be considered together.
Estimated reading time2minRead discussion: AI efficiency deserves a place in the value discussion.Records matter when they help someone understand what happened.
Estimated reading time2minRead discussion: An audit trail should tell a useful story.Translation quality is part of the business experience.
Estimated reading time2minRead discussion: An AI service must work in the user’s language.AI-era fraud makes verification a business process question.
Estimated reading time2minRead discussion: Trust needs a second channel when identity is uncertain.The most useful procurement questions are about responsibility after selection.
Estimated reading time2minRead discussion: Buy an operating capability, not a demonstration.A credible adoption plan makes room for employee knowledge and concern.
Estimated reading time2minRead discussion: People should help design the work AI will change.Average performance can hide the people for whom a service works poorly.
Estimated reading time2minRead discussion: Fairness needs a place in the review meeting.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.Moving from a promising demonstration to work that someone can support.
Estimated reading time2minRead discussion: A successful pilot needs a next operating step.Why Genellipse’s academic relationships matter beyond geography.
Estimated reading time2minRead discussion: A global university network should connect ideas with real work.Everyday AI use deserves a clear habit for handling sensitive material.
Estimated reading time2minRead discussion: Convenience should not erase our information boundaries.Review is meaningful only when a person can understand and change the outcome.
Estimated reading time2minRead discussion: A human in the loop must have time and authority.A capable model cannot settle an argument about what the information means.
Estimated reading time2minRead discussion: Trusted data is an operating responsibility.Policies become useful when people can connect them to decisions and records.
Estimated reading time2minRead discussion: Compliance needs evidence that follows the work.Shared responsibility changes the quality of the conversation.
Estimated reading time2minRead discussion: A client relationship should work like a partnership.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.Connecting academic curiosity with the care required in production work.
Estimated reading time2minRead discussion: University partnerships should create room for real learning.Useful assistance starts with knowing what to delegate and what to check.
Estimated reading time2minRead discussion: Everyday AI should strengthen our judgment.The 2026 cyber discussion connects AI, interdependence, and the ability to keep operating.
Estimated reading time2minRead discussion: Cybersecurity belongs in the business conversation.A better screen cannot repair a process whose ownership is unclear.
Estimated reading time2minRead discussion: Digital transformation lives between departments.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.
