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Charles Spinelli on Planning for Exceptions in AI-Driven Workflows
Charles Spinelli on Preparing Employees for Exceptions in Automated Work Automated workflows are often built around patterns. When information fits expected conditions, artificial intelligence can classify requests, recommend actions, or move work through established steps with limited interruption. The harder test comes when a situation does not fit the pattern. Charles Spinelli recognizes that organizations…
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When Too Many AI Tools Complicate Everyday Work
How AI Tool Sprawl Can Add Friction to Workplace Processes Organizations often introduce artificial intelligence tools one need at a time. One platform may support writing, another analyzes data, and another summarizes meetings or manages information. Each tool can solve a specific problem, but the collection can become difficult to manage when systems do not…
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Charles Spinelli on the Problem of Outdated Context in AI-Assisted Work
Charles Spinelli on Recognizing When AI Is Working From Old Information A polished AI response can create a strong impression of accuracy. The language may be clear, the recommendation may appear logical, and the supporting explanation may sound complete. Yet the quality of an AI-assisted decision depends partly on whether the information behind it still…
