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With AI dominating headlines, it’s easy to feel pressure to “do something with AI.” But is it the right move for your business-right now?
As someone who's led digital projects across the web, mobile, and AI spaces for years, I often get asked when AI actually makes sense. Great tech only delivers value when it solves the right problems. That’s why I developed a simple 5-step framework to assess whether AI is a smart and sustainable fit for your project:
Before reaching for AI, ask: is this a data-driven problem? AI is great at pattern recognition, personalization, classification, and prediction-but it’s not a silver bullet for every business challenge.
Will AI help reduce costs, increase revenue, improve customer experience, or enable capabilities that weren’t possible before? If the connection between AI and business goals is unclear, it might not be the right investment yet.
No AI model is better than the data it learns from. Do you have quality, labeled, and ethically sourced data to power your AI idea? If not, your first task might be a data strategy-not an AI one.
AI systems aren’t “set it and forget it.” They need monitoring, retraining, and governance. Do you have a plan (and team) to manage the lifecycle of an AI system post-launch?
Sometimes what sounds great in a boardroom becomes highly complex in development. Partner with people who can translate your goals into technical reality-and guide where not to overreach.
The result of this process isn’t always “yes, let’s use AI.” Sometimes it ends with discovering a better-fitting conventional solution-or simply postponing the AI piece until the foundation is ready. And that’s success, too.
If you’re exploring ways to apply AI in your business-or wondering if it’s worth the investment right now-feel free to reach out. I’d be happy to talk it through with you.