What Does It Mean to Make Generative AI Scalable?

Generative AI is an exceptionally powerful tool that has the potential to do a lot of wonderful things for businesses. This could include small, simple tasks like database management or simple customer service at first, but when scaled to encompass a large swathe of the company, it can be a challenge to ensure that generative AI is truly scalable. A good way to engage GenAI for your business is to build or buy GenAI apps, but how can you grow them to the size that they can be to do great things for your company?

Start with data security

Data security is the most important element when developing and launching any technology into your business. Even the most functional program would not be fit for purpose if it was able to divulge confidential or otherwise sensitive data.

To ensure that your data is as secure as possible, it’s wise to use a GenAI system that’s private to you. Ideally, it will be based on a large language model (LLM) for which you have the licenses and, ideally, operate yourself.

However, it’s, of course, possible that this may not be achievable, particularly for a small business. To ensure good data security while using minimal systems, ensure you make use of GenAI apps that are entirely secure and safe.

Consider how generative AI can work for you

Generative AI is an exceptionally powerful tool. This means that there are a huge number of use cases for it across any business, so to try to address all of them would simply be impossible at first. Instead, consider what actions and functions AI can do that would be most helpful for you specifically.

To get started, it may be worth considering the use case in which AI works best: a fairly straightforward, repetitive task. This may be data validation, replying to common questions on social media, or writing software for you. Find where there are elements of your organization that eat up a lot of time and money, and consider how you could leverage genAI to “bridge the gap” here and solve a problem that you have.

You may get the best outcomes in the short term by ensuring that your genAI tools are working toward your core business processes and practices. This could include the simple things outlined above, like data management or social media responses, or it could include drafting orders to send to your suppliers or any number of other things. To track down some helpful use cases that AI could help with, run through a day in the office for you. Starting when you first walk into the door and sit at your desk, what tasks do you do that genAI could potentially make easier, quicker, or otherwise manage?

Focusing on these core elements of your business has many benefits, both for you and for your clients. Your clients will be able to see that you’re using AI and will feel the benefit of more rapid responses and detailed analysis of data. You will be able to take time away from repetitive, frustrating tasks and can instead opt to focus on the thing you’re good at: running your business in the way that only you can.

Commit to a set of use cases

After you’ve created a set of potential options for the use of genAI in your business, it’s time to determine which of them you’d like to start with. The purpose of scaling genAI for your business isn’t to start off with a vast number of use cases but to start with two or three, then expand slowly to scale into the rest of what genAI can do for you.

A great idea is to start with a use case that’s not exceptionally unique or ground-breaking but is repeatable and dependable. After that first rollout is successful, you can quickly increase the number of ways you use genAI!

Generative AI is a powerful tool, and scaling it for your business may seem daunting. However, with skilled professionals and dependable AI-powered apps, you can be sure to see results in short order. Take every element of the journey one step at a time, and you’ll surely see improvements and increases with time.