The tech industry is in love with Artificial Intelligence (AI). With applications ranging from high-end data science to automated customer service, this technology is popping up across the enterprise. Several businesses need clarification about how they can efficiently adopt AI to improve efficiency and productivity.
Let’s dive deep into the topic and learn more about the adoption of AI in your business.
How To Implement AI In Your Business? 7 Steps To Consider
Of course, learning how to implement AI in your organization isn’t just finding an interesting application and encouraging your team to use it. There’s more!
Here are seven steps to consider when implementing AI:
1. Find Out What AI Can & Cannot Do
You might be tempted to integrate AI directly into your workflow, but it’s important first to explore what this technology can and can’t do.
Specifically, what is possible for your niche or industry?
Why intuitive apps that simplify sales, marketing, and service have come a long way in helping predict customer needs are not perfect.
In some cases, adding AI software is a waste of time because the AI capabilities are not as mature as they should be to work properly. However, for many industries, artificial intelligence is becoming more widespread.
2. Think About Your Ultimate Goals
Next, think about your ultimate goals for adding AI to your business.
Is there a particular stat you want to improve?
Does adding a new software program make it easier to reach your ideal customer or offer a specific service?
With thousands of options on the market, it’s a good idea to narrow your list down to those that offer the features and capabilities that most closely match your organization’s needs. For this step in the process, you need to brainstorm with different teams, such as sales, marketing, and customer service, to see what they think would best help the business achieve those goals.
After all, these are the people who will ultimately use the software, so it’s extremely important to get their input.
3. Discover All The Key Value Drivers For Implementing AI
After defining your goals and brainstorming with your team, you need to identify the key drivers for implementing AI. For some companies, this could be an opportunity to increase productivity and reduce operational costs.
In other cases, you might be trying to offer your customers better value and more benefits. Knowing both your organizational goals and the value of AI to end users is crucial. Why?
Because it gives you the two main goals of what your implementation needs to achieve to be considered successful. After that, whatever software or hardware you choose to bring the process to fruition is really just one way to accomplish those two aspects of the operation.
4. Evaluate Internal Technology Adoption Capabilities
This is where it starts to get exciting: the actual creation and/or deployment of adoption of your technology. Before you can make a final decision about how to proceed, you need to decide what your company’s internal capabilities are to make this happen.
During this time you will want to ask several questions.
First, are there enough employees who are experts in this type of process? Second, do you have the budget to outsource it?
In some cases, your business may be so small that integrating with an existing SaaS or other widely used solution is your only option.
Other enterprise-level organizations may go in the opposite direction, hiring team members to complete the project or outsourcing a custom solution to a technology company.
5. Build Or Integrate The System
It is important to note that custom AI technology takes time to develop from scratch, simply because the algorithms can get very complicated. If this is the path you are taking, be prepared to wait several months or even more than a year to finally reach the final stage. However, using a pre-built system is usually much faster to integrate.
In this scenario, your company will likely work with a representative from the AI company to install the software application, train employees, etc. This is definitely something you don’t want to rush.
Too many big brands and companies have learned the hard way that switching to AI without spending enough time setting it up correctly can lead to things like data breaches, system failures, and mistakes by untrained employees.
6. Timely Testing of the System
Once your new AI program or technology is up and running, it’s time to test the system for a predetermined amount of time. Depending on your industry and how the platform is used, this can take anywhere from a few weeks to a few months.
During that time, it’s important to keep track of where you’re progressing toward your overall goals.
Are customers happier with the service they receive thanks to your new AI implementation? Are employees now working faster and more efficiently with this upgrade?
7. Make Refinements
By comparison, AI is a fairly new kind of technology in the business world. Once you have a reasonable amount of data on how effective a particular solution is for your business, you can start making refinement changes.
Perhaps this is something as simple as changing the algorithm settings for how customers are contacted or how they interact with the app.
Perhaps it’s much more complicated, like completely overhauling what employees can do with a specific job. There are many variables, but the main idea really boils down to one thing: whether the AI works best or whether you need to make changes to improve results.
When you can look at hard facts like order times, sales improvements, productivity, and accomplishments, you can make broader decisions about implementing AI in your business.
Summary: Implementing AI in Your Business and Why It Matters
As technology continues to improve, the idea of implementing superior AI and AI services in your organization is no longer straight out of Hollywood but has become an essential part of any organization. Flourishing. The future is here and opting for this type of technology in your business is a great way to succeed and stay competitive in the market.
Author bio: Vishnu Narayan is a content writer, working at ThinkPalm Technologies, a software & mobile app development services company focusing on technologies like BigData, IoT, and AI services. He is a passionate writer, a tech enthusiast, and an avid reader who tries to tour the globe with a heart that longs to see more sunsets than Netflix!
