Artificial intelligence adoption drives business efficiency and automation

Artificial intelligence is undergoing a paradigm shift toward 'agentic AI,' where systems move beyond simple chatbots to autonomous agents capable of planning, executing, and adapting actions within organizational limits. Companies utilizing large-scale agentic models have seen cost reductions between 30% and 50% and customer satisfaction increases of up to 20%, according to McKinsey. For instance, the British utility E.ON Next utilized agentic voice analysis to reduce incoming call volumes by nearly 50%.

In Peru, businesses are increasingly adopting AI and automation to reduce operating times, with potential reductions in repetitive tasks ranging from 20% to 60%. However, Patricia Rioja, CEO of Global S1, notes that many local companies invest limited budgets (between 40,000 and 100,000 soles) primarily on specific functionalities, often neglecting critical infrastructure such as cybersecurity, scalability, and software engineering standards.

Beyond automation, AI is revolutionizing inventory management by analyzing sales data, weather, and consumer habits to predict demand. These predictive models help companies balance stock levels, reducing both storage costs from excess inventory and lost sales from shortages, thereby creating a more efficient supply chain.