Why generative AI projects fail and how Ubby avoids these pitfalls

Artificial intelligence is more than just a buzzword – it is heralded as the next big disruption in the business world. Yet, for many companies, AI generates more excitement than results. According to a study by Warwick Business School, nearly 80% of companies venturing into generative AI ultimately see it as a gimmick, with no real impact. But why do these projects fail so often? And most importantly, how does Ubby manage to sidestep these traps?

In this article, we will explore the reasons why generative AI often fails to deliver on its promises and why Ubby adopts a radically different approach to ensure tangible and sustainable results.

Introduction: The Hype and Reality of AI Projects

Generative AI, with tools like ChatGPT, Claude, or Perplexity, has generated a lot of buzz. Companies are excited about the possibilities of automation, data analysis, and process optimization. However, despite this enthusiasm, real results are slow to materialize. As highlighted by Warwick Business School, AI is often relegated to the status of a gadget, with no concrete impact on business objectives.

The reality? The learning curve is often too steep, and initial expectations far exceed the rapid deployment capabilities that most companies need. Too much training, complex prompts, and cumbersome technical integration lead teams to become discouraged and revert to their old methods. At Ubby, we have learned from these common mistakes and have designed an integration method to address them.

Part 1: Why So Many AI Projects Fail

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1.1 Unrealistic Expectations and Lack of Clarity in Goals

For many companies, AI is synonymous with innovation, and they dive in without a clear strategy. Instead of targeting specific objectives, they hope that AI will solve all their efficiency and productivity problems. This leads to unrealistic expectations that the technology cannot always meet. Projects become vague and lack direction, resulting in a gradual disinterest from teams.

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1.2 Overly Complex and Technical Tools

Generative AI tools are powerful, but their use often requires specific technical skills. Employees find themselves facing training on prompts, complex settings, and unintuitive interfaces. Warwick Business School reports that this intense learning at the beginning of the process can demotivate teams. The result: high dropout rates, and AI ends up being underutilized.

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1.3 Gadget Syndrome

Executives get excited about new technologies, but if these tools do not meet concrete and immediate needs, they quickly become a "gadget." AI ends up seeming disconnected from the reality of daily operations, with a difficult-to-justify ROI. Employees see AI as a distraction, an expensive toy rather than a lever for transformation.

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Part 2: Ubby’s Approach – Simplifying and Mastering from Day One

At Ubby, we understand that AI can only deliver real value if it is accessible, understandable, and usable from day one. We have designed our integration method so that users can maximize AI without being burdened by unnecessary complexity.

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2.1 Ready-to-use assistants

One of the key differences in our approach lies in our pre-configured AI assistants. Ubby users do not need to take courses on prompts or master technical settings. From day one, they have ready-to-use assistants designed to perform specific tasks and deliver immediate results.

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2.2 Gradual and natural integration

We believe that AI should not disrupt a team's work habits overnight. Our method relies on gradual integration. Instead of bombarding teams with new features, we provide them with simple tools that they can tame at their own pace. Over time, users gain confidence and begin to customize their assistants or create new ones according to their needs, fostering organic adoption.

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2.3 Maximizing ROI from the start

At Ubby, every assistant is designed to deliver immediate value. By targeting concrete tasks, we ensure a return on investment from the very first days. This radically changes the perception of AI: instead of becoming just another gadget, it integrates into operations and quickly proves its value, motivating teams to use it daily.

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Part 3: Case Studies – How Ubby transformed AI projects

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1. Case Study 1: Customer Request Management A large service company adopted Ubby to manage its customer requests. Thanks to our ready-to-use AI assistants, it was able to handle much higher volumes of inquiries while providing consistent and accurate responses. No prompts to configure, no complex training: teams started using AI from day one, with tangible results.
2. Case Study 2: Content Marketing Optimization A small marketing firm integrated Ubby to optimize its content production. Our assistants enabled teams to generate market analyses, content recommendations, and reports in just minutes. Again, the results were immediate, and ROI materialized within the first few weeks, proving the added value of AI.
3. Case Study 3: Simplifying Administrative Processes A client in the finance sector was using manual and repetitive administrative processes. With Ubby, the company was able to automate many tasks, reducing errors and freeing up time for higher-value missions. The result? Significant productivity gains and teams convinced of the utility of AI.

Part 4: Ubby’s Vision – Useful and Accessible AI

Ubby is not just about providing technology; we aim to transform the perception of AI in business. By avoiding the pitfalls of gadgets and offering operational assistants from day one, we show companies that AI can be much more than just another tool.

Our approach aims to integrate AI sustainably, helping each company adopt these tools gradually and without technical barriers. The key, in our view, is to make AI a habit, a concrete and accessible performance lever that does not remain on the sidelines of operations but integrates at the heart of activities.

Conclusion

Companies are increasingly aware of the potential benefits of AI, but too many still fail to implement it effectively. By taking a counter approach to traditional integration methods, Ubby has developed a hybrid and progressive AI solution focused on concrete and immediate results. We believe that useful AI is simple, accessible, and ready to use.

Ultimately, the future of AI in business will not be built with gadgets or complex technologies. It will be built with effective solutions that meet real needs and integrate naturally into the daily lives of teams. This is Ubby’s vision: to transform AI into a strategic, sustainable, and indispensable tool.

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