Enterprise adoption of autonomous AI agents is facing challenges, with many projects stalling or being canceled due to high costs and unclear value, as reported by Gartner. The current focus on building frameworks and tool integrations often misses the mark by not addressing the core value of these agents, which should lie in automating complex knowledge work rather than simple data retrieval. Despite the potential for AI to perform cognitive tasks involving reasoning, synthesis, and structured output generation, such as M&A due diligence or drafting compliance memos, existing systems often falter due to reliance on probabilistic models and lack of enterprise-specific context. AI21 aims to address these issues with its newly introduced AI21 Maestro, a system designed to execute complex, multi-step workflows with precision, by dynamically planning tasks and self-correcting in real-time, thus promising a more reliable and effective deployment of AI agents in enterprise environments.