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Ideas. Perspective. Progress.

Weekly perspectives on technology, partnership, and the business problems worth solving.

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FROM THE ARCHIVE

AI literacy starts with the questions people ask.

Everyone needs a practical understanding of the tools that influence their work.

Retrospective editionPrepared for this archive on The edition date identifies its place in the weekly series.

Illustrative artwork

An employee does not need to become a model engineer to participate intelligently in AI adoption. They do need to know when a result requires checking, where information may be used, and how to raise a concern. I consider that understanding part of organizational readiness.

Teach through the actual job

Generic demonstrations can create enthusiasm without preparing people for their own decisions. A service representative needs to practise reviewing a suggested response. A manager needs to understand the limits of an automatically prepared summary. A developer needs to examine the behavior of generated code. Training should connect each exercise to the responsibilities of that role.

Give uncertainty a place in the workflow

People should be able to say “I am not sure this is correct” without feeling that they are slowing innovation. I would build examples of mistakes and ambiguous cases into training. Show where to find the original source, how to escalate a problem, and how to continue working when the tool cannot provide a useful answer.

Make learning an ongoing investment

The World Economic Forum’s Future of Jobs Report 2025 places technological skills alongside human skills such as collaboration and analytical thinking. That combination matters to my view of AI enablement. At Genellipse, I want a partnership to leave teams more capable of evaluating and improving their work. A training session is a start; confident, informed participation is the outcome we should look for.

How Genellipse can help

Genellipse can work with business leaders and operational teams to define role-specific AI use cases, review expectations, and adoption priorities. We can help translate a proposed AI workflow into practical examples that people can evaluate. This creates a foundation for an enablement plan connected to the organization’s actual processes and responsibilities.

FROM PERSPECTIVE TO PRACTICE

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Abdollah DehnashiFounder and CEOGenellipse

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