2024 Enterprise AI Outlook: From Pilot to Production

2024 is presented as the inflection point where generative AI moves beyond pilots and prototypes into production. As the overheated experimentation of 2023 comes to an end, enterprises will start prioritizing ROI and TCO over demo polish, with cost control and responsible operation becoming the standard for adoption.

AI21 executives believe that LLMs alone cannot meet enterprise needs. Real-world operations require AI systems that combine RAG, tool calling, and validation layers, with evaluation frameworks and built-in verification cited as key mechanisms for reducing hallucinations. Amid this trend, agentic systems are also becoming more deeply embedded in business processes.

The ways enterprises use AI are also broadening.

• Reading/writing assistance tailored to internal knowledge bases and brand tone, along with apps for sales, marketing, and customer service, are increasing.
• Some companies will build custom LLMs using internal data and know-how, expanding beyond internal tools into new SaaS-based businesses.
• Many will prefer turnkey solutions over building their own from open source, but ultimately, operational capability—including security, privacy, regulatory compliance, and unit economics—will determine the winners.