The more people turn to AI and the more time they spend in contact with it, the more advanced and smart the technology becomes. And the sooner we begin to integrate them into our work, the higher the chances that we will not remain behind and lose to more forward-thinking competitors. However, introducing AI tools into a company’s work is a long and labour-intensive process without a guaranteed result. How can Integrate AI Tools into Company Operations be organized with the minimum number of risks and the most predictable result? We’ll give some recommendations.
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Prepare for the Long Game- Integrate AI Tools into Company Operations
Be prepared for the fact that you and your team have serious work ahead of them, which will not yield quick results—or perhaps not results at all. Tests may show an inconsistency in using AI technologies in your business.
Create a Research Department within the Company
Select one or two employees who will conduct primary research: collect all the information about AI technologies available on the market, aggregate it into a structured knowledge base, and then identify all possible areas of application of artificial intelligence in business.
At this stage, you need to understand two things:
- The project may not be developed, or, on the contrary, it may grow into a new direction in the company. Therefore, relieve those responsible for some tasks, but not all, so they can quickly return to their duties in case of a negative experiment outcome.
- Take time to form the right image of the result. Think about what it should be like. For example, over period X, we must find and understand what AI technologies even exist, how our competitors use AI in their work, and how neural networks can change our routine. The KPI of the project’s first phase is about finding answers to questions with the proper level of elaboration and not about money.
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Decide on Ways to Use AI in Your Business- Integrate AI Tools into Company Operations
Move from the general to the specific. Let researchers work with management to decide what problems AI can solve in your company. For example, when it comes to design, artificial intelligence can help optimize internal processes and save time when creating visual content. It can also be used for another purpose—for example, increasing the variability of creatives that you present to the customer.
Formulate at least three hypotheses for each application and test them. Assess the pitfalls that you may encounter: leakage of data that is loaded into AI, the problem of fact-checking data from AI taking into account the likelihood of “hallucinations,” the need to attract developers to implement some tasks, the reluctance of employees to use technology in their daily work. As a result, you will receive a summary of the work outlining the problems that can be solved using specific AI tools.
Evaluate the Economic Effect- Integrate AI Tools into Company Operations
An extremely important stage of the experiment. At this stage, your task is to understand whether the company even needs to use AI. For example, the company uses fairly simple creatives, which take each designer 10–15 minutes to create. However, setting up a neural network task to draw a simple creative takes the designer 30 minutes. Sometimes, it is more profitable to use human labour than machine labour.
Divide your AI work into three categories:
- economical to use right now;
- a promising direction that needs to be monitored;
- does not make sense to use in work at present
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Implement AI Tools in the Daily Work of the Company
This stage comes with a subtle point: if you don’t have convincing arguments to introduce new work tools, the team may resist it. The simple idea that AI will help you eliminate unnecessary routines will most likely not work if you do not immediately explain which tasks will no longer require effort. Provide benefits that employees can understand. You can refer to the company’s mission, vision, and values.
Provide line managers with clear and understandable KPIs related to implementing new methods simply because there is no technology that people could not implement if they wanted. Define test periods and experimental and control groups to ensure the decision’s effectiveness.
Form a group of change ambassadors within the team who will bring new things to the masses and show other employees the benefits of innovative work methods (ambassadors should not be managers!). Remember that you are not just introducing AI into your work. You are changing the corporate culture of the entire company.
Track Results- Integrate AI Tools into Company Operations
Simply offering people new AI tools and ending the project will not work—it is important to carefully observe how they will work with them, what new questions will arise, and where difficulties will arise.
In addition, technologies are rapidly developing and improving, so a group of researchers from your “research institute” will have to keep their finger on the pulse: study the latest information, conduct new tests, and propose new solutions.
Conclusion on Integrate AI Tools into Company Operations
All companies want a magic pill that will allow everything to be done approximately tomorrow and with excellent results. However, haste spoils things, and what looks smooth and sweet on paper often doesn’t translate into real life. Therefore, we recommend moving step by step. This six-step path will allow you to successfully Integrate AI Tools into Company Operations and strengthen your position in the market.
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