Have you ever found yourself doing something because everyone else does it? Have you ever felt that you should do something because if you do not, you will fail to knee? This is exactly what is happening with Genai’s adoption in companies today. Companies are accelerating to implement artificial intelligence, often without a clear strategy, driven by FOM and market pressure.
In this article, you will discover the reason for this “vehicle influence” the failure of the implementation of artificial intelligence and learning 5 practical advice to ensure the success of Amnesty International’s initiatives in 2025.
Whether you are considering adopting artificial intelligence or already struggling with implementation, these ideas will help you overcome noise and create a real commercial value.
What is the relationship of artificial intelligence with the effect of the vehicle?
The effect of the vehicle is a psychological phenomenon in which people do something in the first place because others do it, regardless of their own beliefs. This effect is particularly visible in the information technology industry, especially in the field of artificial intelligence. The widespread enthusiasm over artificial intelligence (Gen AI) has increased this trend. This is concerned because people have begun to think of artificial intelligence as a treatment. Artificial intelligence can undoubtedly help humans in many tasks.
Why do most companies fail to implement artificial intelligence?
Many companies invest time and money in artificial intelligence just because they are modern, not because they meet specific work needs.
Moreover, many decision makers who have implemented artificial intelligence are disappointed by the results. The return on investment decreased from expectations. A study by Deloitte show that “”There was 29 % increase in the number of respondents Self -recognition as “UnderachieVers”, which indicates that many organizations are fighting to achieve the results of Amnesty International with a significant..“
Thus, organizations become frustrated and hesitant to continue to invest in this promising and advanced technology. As a result, their actions remain linked to traditional models, as they become less competitive and resistant to change.
How to increase the success rate of your Genai implementation
There are many reasons why companies fail to implement artificial intelligence in their business. In most cases, it is not just a simple reason – it is usually a mixture of different factors that should be considered completely. In this article, I will share 5 simple tips that can help direct artificial intelligence journey and increase the possibility of success.
Note that this is not a global solution. These notes come from my experience in working closely with customers and managing various prosecution projects. Take what suits your best position.
1. Start with the problem
As with any project, it does not make sense to start if you do not know the type of problem you want to solve, or what challenges your company faces, or the processes you want to improve. Simply, start with action. Do not think about technology – technology is just a tool, a way to solve your problem.
Many people make a mistake to start the tool instead of the problem. Many of our customers come to us, saying “I want Amnesty International”, but when we ask why they need it, they are struggling to answer this question.
Before starting to think about technology, take time to consider these basic questions:
- What is the problem that I am trying to solve?
- What are the challenges that my work faces?
- What processes can be a mechanism?
- Why should the two companies invest in this solution?
- Is it costly?
- Does it take a long time?
- Is it an error?
These questions may seem simple, but they often prove that the most challenging and time to answer. Do not reduce them. In our culture “as soon as possible”, give yourself time to think rather than rush to behave. You will quickly discover the benefits of this approach. Remember that according to DSDM philosophy, “The best commercial value appears when projects are aligned to clarify the work objectives.Think strategically and guarantee only the correct projects to move forward.
Nor, Amnesty International itself is not a state of work.
2. Consider the restrictions and special requirements
Every problem has a context – the surrounding factors that determine the success of the project. Success means that the work is used with an advanced solution and the project provides real and measurable value.
This context may sometimes be difficult or even question the project justification. This is good. As human beings, we tend to become associated with our ideas. However, the sooner these requirements are determined, the more your prohibitions understand the investment. It is better to finish a project before development rather than spending money to develop something that will never be used.
To properly define the requirements and restrictions, think about these main questions:
- What data that I can help solve the specific problem?
- What is the size of my data and in what formats are stored (databases, Excel files, photos, pdfs, scanned documents, etc.)?
- What are the security requirements that must be taken into account for the target solution (legal requirements, country regulations, industry standards, and organizational policies)? Documenting all data regulation requirements.
- Who are the targeted users? Are they technically or non -technical?
These questions are a starting point – adapt to your specific needs. In my experience, people often reduce the importance of data and legal considerations in artificial intelligence solutions.
How do you deal with this? Focus on understanding the current process you want to improve or automate, including its requirements and restrictions. When you can describe this process in detail, the full context becomes clear.
3. Do not follow the direction
This may seem controversial, but many people are following some techniques just because they are modern, because they have been widely discussed, or because competitors claim to invest in them. The following trends are good as long as you don’t try to force problems on modern solutions. When you redesign problems to suit technology, you risk losing the original workbox and resource spending on non -issues.
Currently, there is a great noise about obstetric artificial intelligence. While people want to apply it everywhere, Genai’s strengths lie in creating texts, photos, videos and other content using pre -trained models on large internet data collections. The quality of the results depends greatly on training data, and these models can sometimes hallucinations or produce bad outputs. It is important to understand that Genai (especially the models available to the public) is not a global solution. These models are pre -trained on specific data to perform specific tasks and achieve specific results.
The experiment shows that most applications require adaptation to the needs of the field and their intense experimenting to find optimal solutions. This process requires a custom time and experience of qualified engineers-without these investments, you cannot expect high-quality results to suit each use case.
That is why you determine the status of your business properly, along with all requirements and restrictions, is necessary. This approach increases the possibility of choosing the correct technology for your problem. Sometimes the solution will not be the modern option. Unpredictable trends-while some develop into stable market solutions, others temporarily prove and provide long-term value. Sometimes, technology is the largest, most stable and reliable option. The correct decision depends on the specific needs of your organization.
4. Prepare your organization for transformation
Sometimes, the application of the new technology in the institution is not clear, even with clearly specific business cases, requirements, restrictions, and the choice of correct technology. Why? Because we often forget that people are at the heart of every change. Some of the final users of technology will be, some may face a displacement after implementation, and others may resist because it requires learning new skills outside their comfort area. These challenges differ, and their size usually increases with the regulatory size.
A study conducted by PWC He explains that “more than half of the workers feel that there is a lot of change in work occurs at one time, and 44 % do not understand the reason for things need to change at all.” The implementation of changes is usually easier in small organizations compared to large institutions. The more people affected by change, the more challenging the implementation. However, the basic principle remains: clear and transparent communication is the key to success.
What steps can you take?
- Identify individuals or groups that will be affected by change
- Determine how the change will affect them
- Prepare them for change
The third step is often the most challenging, as it involves changing positions and perceptions. instead of “Psychological tricks,” It is considered Installed change management strategies.
5. Take the child’s steps
Sometimes the problem you want to solve is so large that the time required for the required investments and money is overwhelming. Questions arise like “Why does it cost a lot?” And “Why will it take a long time?” You may delay the start of the project and ultimately abandon it because you are uncomfortable with the budget, the schedule and the domain. But there is a better approach.
Pwc study also notes“To start, we need to search for” low fruit “opportunities to apply artificial intelligence, collect results, and use this knowledge of experiments to create the basis for a comprehensive business initiative.”
Start with something simple – it may be limited or incomplete, only one person or still requires human participation. This is good. Divide your problem into smaller sub -problems. This approach allows you to test hypotheses quickly and take enlightened decisions on more investment. The smaller project means a more focused range, a budget that can be controlled over time, and delivers solutions faster. All of these factors increase the chances of success.
conclusion
While we focused on the trends of obstetric intelligence in this article, these tips apply to any project to implement artificial intelligence. The main thing to remember is that the starting point must be the problem or the challenge always. If you build a solid foundation, the right solution will always appear. Amnesty International will achieve our world and workplaces in the coming years. To get the most of it, think about the low fruit you can bring to your work and use it wisely. Take the child’s steps, experience, learn, and see how you grow. This is the only way to avoid falling into the effect of the cart.
Do you want to learn more about the implementation of artificial intelligence in your organization? Download our comprehensive electronic book “How to implement artificial intelligence in your company” and get detailed guidelines on developing the strategy, preparing the team and successful implementation techniques.
