There\u2019s a particular kind of conversation I\u2019ve come to value more than almost any other in business.<\/p>\n\n\n\n
It\u2019s not the one where someone walks in with a solution already in mind and wants you to validate it. It\u2019s not the pitch meeting, or the demo, or the requirements document. It\u2019s the conversation that starts much earlier \u2014 before anyone knows what the answer is \u2014 and it begins with a few simple questions.<\/p>\n\n\n\n
What\u2019s frustrating you? What takes too much of your time? What do you dread walking in on Monday morning?<\/strong><\/p>\n\n\n\n These sound almost too basic. But the organizations that move fastest and get the most out of any new initiative are the ones willing to sit with those questions before they reach for a solution. Most skip straight to the solution. That\u2019s where the trouble starts.<\/p>\n\n\n\n When someone says they need a better scheduling system, or a new way to handle customer communications, or help evaluating AI tools \u2014 I\u2019ve learned to slow down before I accept the premise. Because what they describe is rarely the actual problem. It\u2019s the symptom they\u2019ve learned to articulate.<\/p>\n\n\n\n The real question is: What would have to be true for this to stop bothering you?<\/p>\n\n\n\n Not what tool would fix it. Not what process needs to change. What would the world look like if this were no longer a problem? That question \u2014 asked sincerely, and followed wherever it leads \u2014 is where real discovery begins.<\/p>\n\n\n\n The tool is downstream of the problem. The problem is upstream of everything.<\/p>\n\n\n\n If you\u2019re trying to figure out where AI \u2014 or any meaningful change \u2014 could make a difference in your organization, I\u2019d start here. Not as a checklist. More as a conversation you have with yourself, or with someone who\u2019s willing to push back.<\/p>\n\n\n\n What keeps you up at night?<\/strong><\/p>\n\n\n\n Not the big existential stuff, though that matters too. The operational things. The things you know are broken and can\u2019t seem to fix. The things you\u2019ve explained to three different people who\u2019ve all moved on. The things you\u2019re embarrassed haven\u2019t been solved yet.<\/p>\n\n\n\n What do you do that you don\u2019t like doing?<\/strong><\/p>\n\n\n\n This one is underrated. There\u2019s usually a reason you don\u2019t like it \u2014 either it\u2019s the wrong use of your judgment, or it\u2019s repetitive in a way that feels wasteful, or it\u2019s something you\u2019ve inherited and never questioned. Any of those is a signal.<\/p>\n\n\n\n What are you waiting for?<\/strong><\/p>\n\n\n\n Waiting is one of the most expensive things a business does, and it\u2019s almost never measured. Waiting for a report. Waiting for an approval. Waiting for information that\u2019s sitting somewhere in a system no one has time to pull. What\u2019s the thing that has to happen before the next thing can happen \u2014 and does it have to work that way?<\/p>\n\n\n\n What would you do if you had the people and the time?<\/strong><\/p>\n\n\n\n This question surfaces the vision that\u2019s been quietly shelved. Most leaders know what they\u2019d go after if constraints weren\u2019t in the way. Articulating it \u2014 even roughly \u2014 tells you something about where the real leverage is.<\/p>\n\n\n\n What does success look like, and how would you know?<\/strong><\/p>\n\n\n\n This one is harder than it sounds. Vague aspirations don\u2019t generate traction. If you can describe what better actually looks like \u2014 and how you\u2019d measure it \u2014 you\u2019re already ahead of most organizations trying to figure out where to start.<\/p>\n\n\n\n We\u2019re at a moment where the range of what\u2019s actually possible \u2014 not theoretically possible, not \u201cin a few years\u201d possible, but right now possible \u2014 has expanded dramatically. AI tools that would have required a team of engineers two years ago can now be implemented in weeks. Workflows that were too complex to automate are now tractable. The ceiling has moved.<\/p>\n\n\n\n That creates a different kind of problem. When the range of options is wide and the marketing is loud, it\u2019s easy to grab something that sounds right and discover later that it doesn\u2019t fit. The organizations that are getting the most out of this moment aren\u2019t the ones that moved fastest. They\u2019re the ones that started with clarity about what they were actually trying to solve.<\/p>\n\n\n\n The tool is downstream of the problem. The problem is upstream of everything..<\/p>\n\n\n\n If you haven\u2019t had that conversation yet \u2014 the one that starts with what\u2019s broken, what\u2019s waiting, what\u2019s been shelved \u2014 it might be time to have it.<\/p>\n\n\n\n Joe Garappolo is a co-founder of Sagient Partners and a 40-year technology veteran who has built, scaled, and sold technology businesses across consulting, SaaS, and AI implementation.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" There\u2019s a particular kind of conversation I\u2019ve come to value more than almost any other in business. It\u2019s not the one where someone walks in with a solution\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_titles_title":"The Right Questions to Ask Before Choosing AI | Sagient Partners","_seopress_titles_desc":"Before choosing an AI tool, ask the right questions. 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The Questions Worth Asking<\/h2>\n\n\n\n
Why This Matters More Now<\/h2>\n\n\n\n