Charles Spinelli

  Charles Spinelli on Resolving Competing AI Guidance Across Teams Two departments can examine the same business problem and receive different recommendations from their artificial intelligence tools. A finance system may favor cost control, an operations platform may prioritize speed, and a workforce tool may identify staffing concerns that point toward another course of action. None of these outputs must be obviously wrong for conflict to arise. Charles Spinelli recognizes that competing AI recommendations can expose differences in data, objectives, and organizational priorities that require human judgment to resolve. The challenge becomes greater when each team trusts its own system. What initially appears to be disagreement between technologies may actually reflect different definitions of success. Organizations need ways to identify why recommendations differ before deciding which one deserves greater weight.   Different Data Can Produce Different Ans...

  Charles Spinelli on Managing the Risks of Unapproved AI Tools at Work Employees may turn to publicly available AI tools when they believe those systems can help them complete research, summarize documents, draft communications, or analyze information faster. These individual choices can gradually create shadow AI use across an organization without appearing in formal technology plans. Charles Spinelli recognizes that the challenge extends beyond whether a particular tool is approved. Organizations also need to understand what information employees share, how outputs enter workplace processes, and where unapproved AI activity may remain outside normal oversight. Shadow AI can emerge from practical needs rather than deliberate attempts to avoid policy. Employees may find approved tools too limited for a task or may not understand which services are permitted. Addressing the issue requires attention to both workplace behavior and the security concerns that follow. S...