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Executive Vice President And Chief Information Officer Of Marco’s Pizza
Rick Stanbridge
3 Ways to Integrate AI into Your Business Today


The companies that will succeed will be the ones able to identify where to leverage the benefits of AI with the strongest impact. While AI can be incredibly impactful in terms of efficiencies, productivity, and enhancing the customer experience, it is important to remember that it is not a human replacement – rather, something that is complementary.
So, how do you know where to begin? What areas of the business are in greatest need of AI integration? How do you test and learn? Integrating AI into any organization takes in-depth knowledge, a vast amount of time and capital, plus a team dedicated to executing such projects.
The below best practices are meant to help businesses begin to seamlessly integrate AI into their everyday operations and drive growth.
1. Start Small And Focused
It is important to gain a clear understanding on where in the business you want to leverage AI and what problem you aim to solve or opportunity you hope to enhance.
Start small with a very focused, singular objective. Remember, you need to be able to collect enough data to make your AI investment worthwhile, so be sure to audit what data you have and what additional data you need to meet your desired outcomes.
2. Prioritize Projects That Drive Value
While you may uncover a tremendous number of opportunities to integrate AI into your business, you must prioritize what projects get completed first.
Base these decisions on your brand’s main drivers of value as this will directly correlate with bottom line results. These could include things like driving profitability for franchisees, supporting employee satisfaction by decreasing menial tasks, improving the consumer experience by making things easier and more convenient.
Now is the time to learn all you can and to prioritize AI in your organization
Don’t just follow the trends – instead, focus on how AI can add value to your particular business and determine where it is needed the most.
3. Test And Learn Through Pilots
Once you’ve identified and prioritized your AI projects, always begin with a trial before rolling out system wide. Know that there will be a lot of trial and error – that’s okay. During these pilots and beta tests, it is important to keep track of data to see where you’re making progress or falling short in reaching your overall goals.
Remain flexible – pilot, test, pivot. The whole purpose of utilizing AI is to make better-informed decisions to help your business succeed, so be willing to adjust accordingly.
Simply put, AI is the future – it will become a mainstream element of enterprise-level and cloud technology platforms along with machine learning capabilities. Now is the time to learn all you can and to prioritize AI in your organization. With such capabilities helping drive growth, you’ll be equipped with a roadmap to challenge the competition while fueling long-term growth and performance.

