Everyone says finding your "first AI win" is the answer. But here's what nobody mentions: the companies actually succeeding with AI aren't chasing the newest tools. I get it. You've sat through webinars that felt more like disguised sales pitches than real guidance. You're watching competitors talk about their "AI transformation" while you're still trying to figure out if any of this actually applies to your business. Here's what the 2024 Cloud ERP data reveals that changes everything: Companies getting ROI from AI aren't starting with AI at all. They're looking at their existing business systems first. The businesses seeing results identified one manual bottleneck in their current operations, then found a specific AI tool that addresses just that problem. Not a platform. Not a transformation. One problem, one tool. Think accounts receivable follow-ups. Inventory forecasting. Customer inquiry routing. These aren't sexy, but they're measurable and they work. The difference between a $15K mistake and a genuine win isn't the AI technology. It's whether you started with a clear business problem or got sold on AI capabilities looking for a use case. Look at your biggest time-drain this week. What's one repetitive task costing you 5+ hours that you could test a specific AI tool against? What's the manual process in your business that you wish just handled itself? #AIForBusiness #SmallBusinessAI #AIImplementation #BusinessAutomation
Everyone says finding your "first AI win" is the answer. But here's what nobody mentions: the companies actually succeeding with AI aren't chasing the newest tools.
I get it. You've sat through webinars that felt more like disguised sales pitches than real guidance. You're watching competitors talk about their "AI transformation" while you're still trying to figure out if any of this actually applies to your business.
Here's what the 2024 Cloud ERP data reveals that changes everything: Companies getting ROI from AI aren't starting with AI at all. They're looking at their existing business systems first.
The businesses seeing results identified one manual bottleneck in their current operations, then found a specific AI tool that addresses just that problem. Not a platform. Not a transformation. One problem, one tool.
Think accounts receivable follow-ups. Inventory forecasting. Customer inquiry routing. These aren't sexy, but they're measurable and they work.
The difference between a $15K mistake and a genuine win isn't the AI technology. It's whether you started with a clear business problem or got sold on AI capabilities looking for a use case.
Look at your biggest time-drain this week. What's one repetitive task costing you 5+ hours that you could test a specific AI tool against?
What's the manual process in your business that you wish just handled itself?
#AIForBusiness #SmallBusinessAI #AIImplementation #BusinessAutomation
... AI in the enterprise than he did for generative AI. The distinction is ... services operations and are now investing in their AI strategies.