Earlier this year, AI21 introduced Maestro, a new agentic AI system designed to automate complex, data-intensive tasks with precision, addressing the stagnation in enterprise AI adoption. Unlike traditional AI agents that are either unreliable or require extensive manual coding, Maestro offers a more adaptable and efficient solution by dynamically breaking down tasks, selecting optimal tools, and validating each step to ensure accuracy and transparency. This system is particularly beneficial for enterprise-grade knowledge work, such as financial analysis, compliance review, and customer insights, as it can quickly adapt to enterprise contexts and execute tasks autonomously. By providing a visual execution graph and confidence scores, Maestro allows businesses to trace decisions and customize performance to their specific data environments, thus reducing the need for extensive R&D and enabling faster deployment into production.