# What Do Data Insights Reveal About AI in Latin American Factories? > 45% of ML models in Latin America never reach production. Performance degrades 23% without monitoring. Explore AI system performance in Latin American factories with data-driven insights and recommendations. - URL: https://kemenystudio.com/blog/data-insights-on-ai-system-performance-in-latin-american-factories-2026-09-12 - Published: 2026-09-13 · Language: en · Category: case-study **Short answer:** AI systems in Latin American factories face challenges: 45% of ML models never reach production, and those that do see performance degrade by 23% within six months without monitoring. Addressing these issues can unlock substantial gains in operational efficiency. ## What is the current state of AI in Latin American factories? Picture yourself walking through a sprawling manufacturing plant in Monterrey, Mexico. The hum of machines fills the air, and workers are engaged in a well-orchestrated dance of productivity. Yet, beneath this veneer of efficiency, many factories are missing opportunities for substantial optimization through artificial intelligence (AI). Despite the bustling activity, the potential for AI to revolutionize operations remains largely untapped. According to a [Numoru report](https://numoru.com/en/contributions/estado-ia-empresarial-latam-2026), a staggering 45% of machine learning models developed in Latin America never progress beyond the development phase. Those that do manage to see the light of production often experience a rapid decline in performance, by as much as 23%, within just six months if they are not properly monitored. This issue is indicative of a broader challenge that factories across Latin America face: the difficulty of transitioning AI models from concept to production. This transition remains a critical barrier to realizing the full potential of AI. These statistics reveal a significant opportunity for improvement. Factories that overcome these challenges by adopting streamlined AI deployment strategies stand to gain significant improvements in operational efficiency and productivity, reducing waste and increasing output. ## What is the growth potential of AI in manufacturing? Despite these hurdles, the future of AI in manufacturing across Latin America shines brightly. The industry is poised for exponential growth, with market size projections set to increase from USD 1.15 billion in 2025 to USD 4.80 billion by 2031. This represents a robust compound annual growth rate (CAGR) of 26.6%, according to the [Latin America Artificial Intelligence in Manufacturing Market](https://mobilityforesights.com/product/latin-america-artificial-intelligence-in-manufacturing-market). Such growth signals a burgeoning interest and investment in AI technologies throughout the region. However, this potential cannot be realized by merely acquiring AI technologies. Factories must focus on effective deployment and management of these systems. This involves not just investing in AI tools but also ensuring the necessary infrastructure and skilled workforce to support their integration and functionality. Companies that can bridge the gap between potential and execution will emerge as leaders, setting new standards for efficiency and innovation in the industry. ## What strategies can overcome AI implementation challenges? The road to successful AI adoption is fraught with obstacles that require strategic navigation. A [RSM survey](https://www.rsm.global/latinamerica/en/insights/ai-readiness-latin-america-survey-report-2026) highlights several pivotal areas where attention is needed: governance, skills, and risk management. Without establishing a solid foundation in these areas, AI models are more likely to falter before they can deliver tangible benefits. 1. **Governance Structures:** Establishing clear governance frameworks is essential to align AI initiatives with overarching business goals. This alignment is crucial for maximizing the impact of AI technologies and ensuring that all efforts are in sync with the company's strategic objectives. 2. **Skill Development:** Addressing the skills gap through targeted training and development programs is imperative. Empowering the workforce to effectively interact with and manage AI systems ensures that human resources are as capable as the technology they support. 3. **Risk Management:** Implementing comprehensive risk management strategies is crucial to mitigate potential setbacks. This ensures the resilience and reliability of AI operations, allowing companies to navigate challenges without significant disruptions. ## How does Kemeny Studio provide insights and solutions? At Kemeny Studio, we have firsthand experience in harnessing AI to transform factory operations. Our projects demonstrate that well-implemented AI systems can significantly enhance productivity and operational efficiency. For instance, document review processes can be expedited by 70%, while transaction matching can achieve up to 95% accuracy across over 160,000 items. These outcomes highlight the substantial benefits of effectively integrating AI within existing workflows. Our approach goes beyond merely deploying AI solutions. We ensure that these solutions are specifically tailored to meet the unique needs of each factory. This involves optimizing systems for peak performance and aligning them with strategic objectives to maximize operational impact. Our commitment is to build AI that runs your operations seamlessly, delivering value through precision and efficiency. ![What Do Data Insights Reveal About AI in Latin American Factories?](https://nzxkemdrghjcfqvcfjjb.supabase.co/storage/v1/object/public/cms-images/blog/what-do-data-insights-reveal-about-ai-in-latin-american-fact-1789228957282.png) ## What are the next steps for AI in Latin American factories? For sustained AI performance, factories must prioritize establishing robust monitoring systems and continuous improvement strategies. This includes setting up frameworks for ongoing evaluation and adaptation of AI systems to keep them effective and relevant over time. Training programs focused on AI readiness can prepare the workforce to engage with these technologies confidently and competently. Investment in governance and risk management strategies will further support sustainable AI deployment. These measures not only enhance the performance of AI systems but also position factories to fully capitalize on the projected growth in the AI manufacturing market. For those looking to refine and optimize their AI strategies, Kemeny Studio offers the [AI Workflow Validation Sprint](https://kemenystudio.com/ai-workflow-validation) to help factories navigate these complexities and achieve operational excellence. ## Frequently asked questions ### How does AI impact operational efficiency in factories? AI significantly enhances operational efficiency by automating routine tasks, improving decision-making, and increasing production speed. Our experience shows that well-deployed AI systems can reduce document review times by 70% and improve transaction matching accuracy significantly. ### What are the main obstacles to AI adoption in Latin American factories? The primary obstacles include inadequate infrastructure, lack of skilled personnel, and insufficient governance frameworks. Addressing these issues is crucial for successful AI deployment and sustained performance. ### What measures can improve AI system performance? Continuous monitoring and regular updates to AI models are essential. Implementing robust governance and upskilling employees are also key measures to ensure optimal performance and longevity of AI systems. ### How can Kemeny Studio assist factories in optimizing AI workflows? We specialize in building AI that runs your operations. Our solutions focus on streamlining workflows, reducing workloads, and providing comprehensive support to ensure AI systems perform at their best. Consider our [AI Workflow Validation Sprint](https://kemenystudio.com/services/ai-sprint) for tailored insights. ### What is the projected growth of AI in Latin American manufacturing? AI in manufacturing is expected to grow significantly, with projections showing an increase from USD 1.15 billion in 2025 to USD 4.80 billion by 2031. This growth underscores the importance of effective AI implementation and management strategies.