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From Theory to Practice: Implementing AI for Real Impact
Today, for the vast majority of companies, the big question is no longer whether to use artificial intelligence, but how to use it to get tangible results.
There is a lot of talk about AI, but its real impact on a company's day-to-day operations is rarely shown.
In this article, we will tell you how, in one of our most recent projects with an industrial company of over 300 employees, we have managed to develop a system capable of doubling the productivity of a key area.
We detail a real success story of Crata AI that made it possible and explain our methodology for automating processes with AI.
To help you achieve this too, we will give you 10 key recommendations to successfully implement AI in your company, automate processes, and transform your business's efficiency.
Success Story: Doubling Productivity with AI
In one of our most recent projects, we helped an industrial company with a very common problem. We demonstrated the value of artificial intelligence in manufacturing by automating the generation of key documents for product packaging and labeling.
In many industries, such as pharmaceuticals or automotive, this documentation is crucial. It not only ensures the quality of the final product but also guarantees compliance with strict legal and safety regulations. Any error or delay at this point causes delays throughout the entire chain and can have serious consequences.
However, this process is complex, slow, and prone to errors. It requires data collection from multiple sources and is a repetitive task.
In this case, operators spent about 2.5 hours on each document, with multiple manual reviews.
For this company, we developed and implemented a system of agentic workflows with AI. The result was a complete transformation.
Now, documents are generated automatically, and the team only needs to validate them. This is similar to our project with Sacyr, but in this case, it is a more controlled workflow, designed to maximize precision in a critical process.
The system has a 93% accuracy, which drastically reduces human errors and raises the level of reliability.
This change will free up about 60 hours of work per week. This means a potential saving of more than 3,000 hours per year for the company, in this process alone.
The project demonstrates that with the right technology, you can achieve more with less. AI accelerates "time to market," drastically reduces errors, and significantly cuts working hours.
Keys to Success for Automating with AI and Increasing Efficiency
This achievement was no coincidence. It was based on several key pillars that you can replicate in your company:
- Focus on a real business problem. Instead of implementing AI for the sake of trends, we focused on solving a specific bottleneck. The key is to identify the pain point that will have the greatest impact on creating value for the company; the highest ROI (return on investment). You can explore in more depth how to create a practical AI strategy and apply it to your company.
- Training around experience, the company's context. Artificial Intelligence doesn't work in a vacuum. We collected, worked with, and cleaned the company's specific data, knowledge, and experience to train the system, ensuring it understood their unique processes. This is a fundamental step, and we have created a strategic guide for you to prepare your data for AI.
- Human-AI Synergy. The system doesn't seek to replace operators but to free them from repetitive tasks and multiply productivity. If Steve Jobs said the computer was a "bicycle for the mind," we believe that AI is a rocket for the mind. By combining human intelligence with the power of AI, the results are spectacular.
- Precision and Control. We designed the system to offer high precision from the start. This was fundamental to generating the trust needed to adopt it in a production environment, ensuring the reliability of the results.
- Impact on the value chain. Optimizing a single area accelerated the processes of other teams. By focusing on the key point, AI generated a positive domino effect, multiplying the impact and ROI across the entire company.
If you want to know how you could cut costs and increase efficiency in your company with artificial intelligence, book a free call with our experts for a personalized assessment.
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Practical Guide of 10 Recommendations for Successfully Implementing AI in Your Company
The implementation of artificial intelligence can be the engine your company needs to grow, but the integration process requires an appropriate methodology.
Here are 10 key recommendations to ensure your transition to AI is successful, based on our experience and real projects.
1. Focus on a business problem, not the technology. Before thinking about AI, identify a bottleneck or an inefficient process. A good assessment of the ROI, risks, and needs will help you ensure that the technological solution has a real impact on your business.
2. Partner with an expert. The synergy between your business knowledge (domain expertise) and that of an expert AI partner is fundamental. Collaborating with specialists like Crata AI will allow you to combine the best of both worlds and accelerate results.
3. Start with "quick win" projects. Adopt a phased approach. Start with simple projects that deliver value immediately. The first tangible successes generate the trust and momentum needed to secure greater investment and overcome internal skepticism.
4. Prepare your data (beware of Garbage In, Garbage Out). AI is only as good as the data it receives. Make sure your data is high-quality, clean, and organized. This is a fundamental step to get "AI-ready data." In addition to laying the groundwork for AI implementation, working on your data also offers short-term, almost immediate advantages, such as improved decision-making thanks to the possibilities offered by data analysis, dashboards, and greater visibility into the business. Remember our guide for preparing your data.
5. Give your system context. Context is key: beyond writing prompts, it's about investing in good context engineering. Just as you would train a new employee by giving them all the necessary information to work well, you must provide an AI with relevant rules, processes, and data, in the right environment, and with the necessary tools. Only then can it make precise decisions and provide true value.
6. Combine human talent with AI. In most use cases, artificial intelligence is not a total replacement; it's a tool. The combination of human capabilities with the speed and precision of AI generates the best results. Prioritize the human element, build trust, and train your team to become experts in the use of AI. At Crata AI, we are very aware of this, and when implementing solutions, we always accompany them with workshops and upskilling programs that train teams to get the most out of these technologies.
7. Manage expectations. AI is very powerful, but it is not a holy grail. Understanding what it can—and cannot—do is fundamental to avoiding frustration and maintaining a focus on real results. In particular, it is necessary to differentiate between an attractive demo and a system ready to scale throughout the organization. Moving from a pilot to a complete implementation involves overcoming technical, data, and adoption challenges that are often more complex than they seem.
8. Think in systems, not just tasks. AI is most effective when applied to optimize a complete process, not just an isolated task. By using ai powered productivity tools, you focus on the bottlenecks in your value chain, which will allow you to multiply the impact and ROI. But be careful: if the other steps do not improve, any progress at one point will be limited by the rest. The key is to think about the end-to-end chain, not individual links, and have a global picture of processes and their interrelations.
9. Consider cybersecurity and data control. Security and privacy are non-negotiable. Every AI solution must be robust and comply with regulations to generate trust and be truly scalable. At Crata AI, we are very aware of this: our experience in incubation and acceleration programs at the National Cybersecurity Institute (INCIBE) has allowed us to consolidate a culture of maximum security in everything we develop.
10. Dare to launch. The biggest risk is doing nothing. If you wait too long, your competitors will get ahead of you. Companies that do not experiment and do not scale their AI projects will be left behind.
Ready to Get Started?
At Crata AI, we accompany companies throughout the entire process of adopting artificial intelligence: from strategy and data preparation to the development of tailored solutions and their deployment in production.
Our approach combines business vision, technology, and human support to ensure tangible and sustainable results.
Want to apply this in your organization?
Book a call with our team and we will show you how.
Conclusion
AI is no longer a futuristic option; it is a strategic lever to compete today.
Adopting it with good judgment, good data, context, a focus on complete processes, and attention to the human factor, allows you to reduce errors, gain efficiency, and multiply results.
The time to start is now.
