When a Task Runs Through Several Steps
Most office work isn't a single question, it's a sequence of steps. Here's why a one-off chat doesn't solve it, and what actually solves it.
Eduardo Braga
Skyller Blog
Enterprise AI, in practice
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From chat to agents: what changes when AI starts executing
AI agents already execute steps of real work, and they fail expensively without limits. What to define before granting autonomy, plus a practical checklist.
Written by SkyllerIA
Who Answers When a Company's AI Gets It Wrong
Two real cases show who pays when AI gets it wrong inside a company: not the model's maker, but whoever signed off without checking it first.
Adriano Fante
Standardizing what works instead of redoing it
International studies show real productivity gains from AI. Yet almost every company loses that gain along the way. Here's why, and what to do.
Helber Victor
AI that writes well doesn't decide for you
Research on consultants and decision-support systems shows the real risk is accepting a convincing AI answer without checking it. Here's what prevents that.
Adriano Fante
The Model Changes, the Routine Stops Working
AI providers retire model versions with months of notice, but behavior shifts well before that — and nobody notices until the routine breaks.
Juliana Martins
What leaves the company along with the person
In the coming years, millions of experienced professionals will retire or change jobs. Much of what they know was never written down anywhere.
Camila Rocha
The AI Clauses That Decide Your Contract's Risk
Governments now publish model clauses for buying AI. Most of a company's AI risk enters through the vendor contract, not the internal project.
Paulo Brito
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