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Rahul Agarwal
Founder | Agentic AI... • 3h
One thing that I more commonly see is: Weeks are spent comparing AI vendors, building massive spreadsheets with dozens of scoring criteria. Companies debating Microsoft vs OpenAI vs Anthropic But the strange thing is: No one defines the problem first. They don’t ask themselves: “What problem are we actually trying to solve here?” This happens more often than people admit. Companies rush to purchase powerful AI tools before understanding what needs fixing inside their business. Excitement moves faster. Clarity moves slower. Pilot projects start without clear outcomes, measurable targets, or even agreement on success. Months pass and then comes the familiar conclusion. “AI didn’t deliver value.” Not surprising at all. Tools create the feeling of progress. Real problems demand uncomfortable thinking. Organizations that actually generate returns approach things very differently from the start. They ask simple questions about inefficiencies, wasted spend, broken workflows, and daily frustrations inside teams. Those conversations feel slower. And far less glamorous. They also reveal where automation, intelligence, and better systems actually make sense. Starting with the problem rarely feels exciting when budgets are easier to justify around shiny technology. But it works. Most companies will continue collecting tools and wondering why transformation never arrives. The smarter ones start somewhere else. They almost always begin with the uncomfortable question. Think about it.
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