6 Practical Ways to Use AI in Business Right Now

Companies seem to be obsessed with AI, as this technology brings a lot of benefits for the company. However, it’s important to leverage this technology in the best way possible to reap more benefits of AI in business.

 

Therefore, in this blog, we’re going to discuss five practical things businesses must be aware of about AI. These aspects will help you understand how you can make the most out of AI in business for your employees and organization.

 

 

  Explore Maximum Possibilities With The Existing AI Tools

 

AI is rapidly growing, and every year you see a lot of better versions. While we have been constantly relying on the latest versions, we must fully explore the existing versions of AI. 

 

We understand we must accept the new technologies and approaches. Still, in the rapid evolution, we may tend to miss out on a lot of opportunities that previous versions are capable of. So, businesses must fully explore the possibilities of the existing AI tools.

 

Another important factor is to focus on those aspects of AI, like machine learning services, that have become more mature over the years. One example here is the use of AI chatbots. 

 

You might have noticed, these do not bring about a very big update with passing time. So if you make the most out of it, you won’t have to spend a lot on its new versions in terms of money and time.

 

 

  AI Bots Should Be Used Primarily As A General-Purpose Help For Your Staff

 

 

According to the research, the employees whose productivity increases significantly with time using AI are the ones who rely on more general AI tools like ChatGPT. It's very likely that some of these individuals currently work for your firm.

 

What they commonly do is to put their queries or problems through ChatGPT to see what it can achieve. They quickly figure out what works best and develop new workflows. Numerous individuals claim to be saving many hours of work time each week.

 

They are already determining ways to modify generative AI tools to fit your specific company procedures and requirements. 

 

So, companies must provide at least rudimentary forms of AI to their employees to make their everyday tasks easier and increase their productivity.

 

 

  Check Out The Opportunity Cost Of Deploying AI

 

 

Broadly, AI integration in business comes with a price. In some cases,  the tariffs are even significant. So the advice here is to check for its opportunity cost first. Check how it is going to help employees increase their productivity.

 

Here, it’s important to know that AI might not be as helpful for a company’s benefits as it costs. If you grow AI across all staff, you could discover that the advantages outweigh the costs, even if you feel it's not worth using today. Benefits of AI in business must be evaluated first before moving forward.

 

So it’s always important to note down the opportunity cost, including platform and cloud services investment. And it must be done before you actually spend on deploying AI in the organization, and later it turns out to be in loss.

 

 

  Never Hold Back On Adopting AI & Deploying It Across The Organization

 

Once you have made sure that AI is going to be highly efficient for your company, don’t delay deploying it.

 

As we discussed, it’s good to evaluate its opportunity cost. However, on the other hand, if you keep delaying its deployment, it will negatively impact your company’s performance. It’s because you will keep on missing out on those opportunities that you could have gotten by deploying AI.

 

Once decided to deploy, make sure you discuss it across the team in meetings, so everyone can start understanding its importance.

 

 

 Spend Time & Resources To Evaluate How Generative AI In Business Can Help

 

 

If you have come to the conclusion that AI is not quite helpful for your organization, you should not simply sweep this matter under the carpet.

 

It’s wise to spend some time and resources considering how generative AI could alter your fundamental approach to customer service. By doing this, you may prevent getting caught off guard later on. You might even think of a situation that is so compelling that you need to finance it.

 

There could be a possibility that you might ignore some critical factors to evaluate AI’s importance. So you must also take some expert’s advice on it, which might cost you some extra money. But it’s worth it. They might come up with something that you are not experiencing at present. However, the future of AI in business can be of great importance.

 

You also need to consider how you’re going to take it if your biggest rival has already done it. It simply means that the competitor is gaining something out of it. And so, you should too.

 

 

  Develop A Data Strategy For AI Inputs

 

 

Businesses must work on developing a strategy and leveraging strong data engineering practices that are going to be shared with AI. In the quest for getting the most out of AI, it’s necessary to give as much useful data as possible. However, there have to be certain rules and limits. After all, the data is highly important.

 

The policy must be made to ensure there’s no personal data violation, specifically when it comes to sharing something related to customers.  In fact, the employees must be trained with regular training sessions or seminars where they are taught the right use of AI. 

 

Another important thing here is that employees should also be trained to check the AI’s input carefully. Sometimes, even if you give the correct information, AI messes up the results. So, the results should be manually checked as part of a broader  quality assurance process. Otherwise, it could lead to wrong interpretations of results.

 

 

Conclusion

 

 

According to our study, the majority of knowledge workers have access to AI chatbots, but they haven't taken the time to actively consider how they may utilize them as advisors and assistants at work. 

 

Try AI for different activities and then evaluate how it performed rather than assuming it's fantastic for just one or two things. Then, internally, share your experience with the team to improve collective business intelligence analytics. 

 

You have a strong chance of increasing your productivity and contributing to the start of your company's transformation. A change may begin anywhere and spread; it doesn't have to start at the top.