Generative AI in companies: How it generates real results
Discover how generative AI in companies is transforming processes, improving productivity, and redefining business value.
For years, talking about artificial intelligence sounded like the future. Today, it is the present. And those who know how to apply it are already seeing measurable results: greater productivity, better decisions, more agility. We are not talking about theory, we are talking about efficiency, innovation, and competitive advantage.
Generative AI, in particular, has opened a new era. Far from being just a fad, it is proving its usefulness in sectors as diverse as health, insurance, engineering, or retail. From virtual assistants that reduce response times to tools that automate repetitive tasks or synthesize complex information, organizations are accelerating their transformation.
This article is inspired by the Leader’s Guide to Building High-Impact Generative AI Applications published by Microsoft, which you can consult here.
But it is not just about adopting AI. It is about transforming strategic value into real impact. To achieve this, it is key to understand that value generation is not always immediate or measurable only in terms of ROI. Leading companies redefine success by integrating indicators of quality, adoption, involvement, and continuous improvement.
Where to start?
1. Detect a clear need The first step is not technology, but the problem. When generative AI is applied to specific business challenges—such as customer service overload, content production, or document analysis—the impact is immediate and tangible.
2. Involve diverse teams Successful projects are not done in silos. Collaboration between business, IT, data, legal, and users is vital to define success from different angles and ensure its adoption.
3. Prioritize what has a quick impact Start with use cases that offer results in weeks, not years. This generates trust, organizational learning, and traction for future initiatives.
4. Think about data from the beginning Data is not a technical issue: it is the fuel of any AI system. If your data is scattered, incomplete, or outdated, your AI will not be able to take off.
5. Test, adjust, and test again Generative AI is not a finished product. It needs to be trained, fine-tuned, and re-evaluated constantly. Continuous improvement is part of the process.
Concrete benefits that companies are seeing
The results are not promises, they are figures. Pioneering companies like Groupama or Sweco are demonstrating that applying generative AI with strategy generates significant improvements:
- +30% productivity in administrative tasks: reduction of repetitive tasks, greater focus on high-value work.
- Significant decrease in operational load: lighter, more focused teams, and less exposed to burnout.
- More informed decisions: analysis of large volumes of data in seconds, with summaries that facilitate day-to-day management.
- Up to 40% less time-to-market in launches and deliverables thanks to automated workflows.
At My Tech Plan we can boost your company
At My Tech Plan, we are specialists in activating the potential of organizations through experiences such as hackathons, customized technological training, and the generation of strategic content. We do not offer AI development services, but we do act as a bridge: to train in AI with the help of experts and connect you with the best talent, we share the trends with you and help your organization be in the right place to innovate.
Our approach connects creativity, technology, and people to generate real impact.