I’ve attended many AI conferences and training events over the past few years. I’ve seen people doing innovative work, but I’ve also seen many spinning their wheels.
After working hands-on with AI automation across multiple businesses, I’ve done both. So I want to share what I’ve learned to help you avoid wasting time, energy, and money — and instead use AI strategically to increase revenue and reduce expenses.
Many AI projects never create real value
More often than not, I see entrepreneurs reinventing the wheel with AI. I’ve lost count of how many people I’ve seen brag about using AI to build a new CRM when hundreds of solid platforms already exist. It makes no sense to build a new CRM when existing platforms already offer nearly every feature you need — and have full development teams keeping them updated and running smoothly.
The same goes for apps and software that are just clones of existing tools. I’ve made that mistake myself, but the reality is no one needs another version of the same tool that already exists a hundred times over.
Now, there are a few rare cases where building an app or software platform makes sense — mainly when you can launch it quickly and offer a proprietary approach. That could include a unique formula or algorithm, a specific process, or access to exclusive data. In other words, it needs to be something core to how you do business.
Otherwise, you risk spending time and money on technology that doesn’t materially improve the business.
Strategic AI is the real competitive advantage
The businesses seeing the strongest results from AI are using it to solve measurable operational problems.
The key is to apply it in ways that directly improve revenue and productivity.
How AI can directly increase revenue
For example, you might use AI to build a highly targeted prospect list and automate outreach to move leads into your marketing funnel. You can even take it further by using AI for part — or all — of the sales process. Many companies are already doing this and generating fresh, targeted leads on autopilot every day.
This is a highly effective, scalable way to increase revenue at a fraction of the cost of hiring people to do the work. There’s one caveat: you need to be certain your company can handle the increase in business. While this creates an opportunity to scale, it also means more people will be affected if you drop the ball — and that can damage your reputation quickly.
Implementation still requires oversight, testing, and operational discipline. Poorly implemented AI can create just as many problems as it solves.
AI can reduce time and operational costs
Another approach is to use AI to handle your workload more efficiently, reducing both time and costs. One way I’ve used it is to quickly analyze market conditions so I can make more accurate pricing decisions when buying and selling properties.
This is where AI really shines. It…
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