Enterprises require advanced knowledge agents that go beyond simple question-and-answer chatbots to handle complex, multi-step workflows that demand judgment, synthesis, and execution. While building an AI stack offers governance and control, it is resource-intensive, whereas off-the-shelf solutions provide quicker adoption but often limit flexibility. A hybrid approach, which involves owning the architectural framework while integrating top components and keeping essential data close, is advocated as the most effective strategy. AI21 Labs emerges as a key player in this landscape, offering advanced reasoning models and orchestration capabilities that cater to the need for reliability, adaptability, and actionable outcomes. The future of AI will focus on transforming knowledge into action, enabling teams to efficiently manage tasks such as ticket closure, ledger reconciliation, and proposal drafting with robust knowledge agents.