Limitações conhecidas das IAs nos cursos Together (e o que fazer)
O que as ferramentas de IA erram em silêncio no caminho entre a resposta e o seu quadro — medido em projeto real, com o contorno de cada caso. The post Limitações conhecidas das IAs nos cursos Together (e o que fazer) appeared first on Escritório de Projetos.
O que as ferramentas de IA erram em silêncio no caminho entre a resposta e o seu quadro — medido em projeto real, com o contorno de cada caso. The post Limitações conhecidas das IAs nos cursos Together (e o que fazer) appeared first on Escritório de Projetos.
Em contexto
- Tema: Proyectos, PMO y Riesgos — Gestión de proyectos, oficinas de proyecto y riesgo del portafolio.
- Fonte: Escritório de Projetos
- Publicado: 31/08/2026
Continuar lendo na fonte original →
Trecho publicado automaticamente pelo radar do site. O texto completo pertence ao veículo e está vinculado acima.
Why it matters
Projects rarely fail on the day they are declared failed. They fail months earlier, in a meeting where somebody saw the problem coming and calculated it was not in their interest to say so. Everything else — the slipping schedule, the stretching budget — is the visible consequence of that silence.
My filter is the quality of the status report. If every project is green, the reporting system is not working: in any real portfolio some initiatives are in trouble, and a healthy organisation surfaces them in time rather than discovering them at the closure committee.
What usually goes wrong
The classic mistake is treating risk management as a deliverable of the planning phase. The matrix gets built, approved, filed. Nobody opens it again until closure, when it serves to document that the risk was foreseen — which is exactly the opposite of managing it.
What to watch
- Who the sponsor is and how often they actually show up — not on the org chart, in the calendar.
- Whether the status report shows any red projects: an all-green portfolio is a portfolio without information.
- Which risks are identified, who owns each one, and when they were last reviewed.
How I read this entry
I would use it to review how the organisation estimates. If historical estimates were systematically out by half and nobody adjusted the method, no project will land well: you are planning with a ruler that measures short and blaming the team for not reaching the mark.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
