AI in the enterprise is at a turning point, the company said on 10 March 2025.
AI21 Labs: Meet Maestro: The AI System for Automating Data-Intensive Enterprise Tasks, the company said on 10 March 2025. While organisations recognize its potential, most attempts to deploy generative AI fail. According to AWS, only 6% of organisations have a generative AI application in deployment. While organisations recognize its potential, most attempts to deploy generative AI fail. According to AWS, only 6% of organisations have a generative AI application in deployment. The probabilistic nature of language models makes their behaviour inherently unpredictable, creating a major challenge for enterprises to build trustworthy AI systems.
The probabilistic nature of language models makes their behaviour inherently unpredictable, creating a major challenge for enterprises to build trustworthy AI systems. We’re changing that with Maestro, the first AI system for automating data-intensive enterprise tasks designed to deliver enterprise-grade AI that organisations can actually trust.
For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.