AI21, a leader in frontier AI models and systems, has unveiled Maestro, the world’s first AI Planning and Orchestration System designed to deliver scalable and reliable AI solutions for enterprises.
Debuting at the HumanX 2025 conference, Maestro represents a significant leap forward in enterprise AI. It enhances the instruction-following accuracy of paired Large Language Models (LLMs) by up to 50%, ensuring improved quality, reliability, and observability. This breakthrough surpasses the limitations of conventional LLMs and Large Reasoning Models (LRMs), setting a new industry benchmark for AI performance.
Maestro significantly improves LLM efficiency in handling complex tasks. It enhances the accuracy of models like GPT-4o and Claude Sonnet 3.5 by up to 50% while enabling reasoning models such as o3-mini to achieve over 95% accuracy. By closing the performance gap between non-reasoning and reasoning models, Maestro aligns Claude Sonnet 3.5’s accuracy with advanced reasoning models like o3-mini, providing unparalleled consistency.
Despite the increasing enterprise demand for AI integration, large-scale generative AI deployments often face significant hurdles. According to the Amazon Web Services (AWS) CDO Agenda 2024, only 6% of organizations have successfully deployed a generative AI application, emphasizing the fundamental limitations of existing AI solutions for mission-critical tasks. Traditional approaches such as “Prompt and Pray” and hard-coded chains present considerable challenges. The “Prompt and Pray” method, which depends on LLMs and LRMs to execute open-ended tasks, lacks precision and control due to their probabilistic nature. On the other hand, hard-coded chains, while predictable, are rigid, labor-intensive, and prone to failure when conditions change.
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Reasoning models, which utilize thinking tokens to solve complex problems, have not resolved these challenges. They often demonstrate inconsistent performance, struggle with adherence to instructions, and fail to effectively use tools. As a result, current approaches lack the accuracy, reliability, and adaptability necessary for widespread enterprise adoption.
“Mass adoption of AI by enterprises is the key to the next industrial revolution,” said Ori Goshen, Co-CEO of AI21. “AI21’s Maestro is the first step toward that future – moving beyond the unpredictability of available solutions to deliver AI that is reliable at scale. Delivering complex decision-making with built-in quality control, it enables businesses to harness AI with confidence. This is how we bridge the gap between AI potential and real-world solutions.”
“Wix is leading the charge in LLM adoption, powering hundreds of AI applications,” said Avishai Abrahami, CEO of WIX. “Maestro ushers in a new era of agentic AI – striking a necessary balance between quality, control, and trust that could be a key factor in our ability to develop trustworthy AI applications at scale.”
“The potential of enterprise AI lies in balancing innovation with reliability,” said Elad Tsur, Chief AI Officer at Applied Systems. “AI21 Maestro is a promising step toward making AI more controllable and useful for business applications, bridging the gap between powerful AI models and real-world enterprise needs.”
Powered by AI21’s AI Planning and Orchestration System (AIPOS), Maestro ensures reliable, system-level AI performance by seamlessly integrating LLMs and LRMs into a robust framework that analyzes actions, devises solutions, and validates results. This system adapts to enterprise environments to optimize accuracy and efficiency, enabling businesses to define precise requirements and receive tailored results within seconds. By eliminating the need for prompt engineering and rigid workflows, Maestro delivers on the promise of truly trustworthy AI.
