This white paper explores the evolving relationship between large language models (LLMs) and mathematical optimization solvers, revealing why the future of enterprise decision-making will rely on a combination of both. What’s inside: Get a clear, accessible guide to the emerging decision intelligence ecosystem, including: Key differences in how LLMs and solvers approach complex problems—and why provable results still require mathematical solvers How LLMs and solvers complement each other, blending fluency and creativity with precision and proof What the decision intelligence stack is, and how it unifies intent, computation, and action Real examples of human–AI–solver loops that turn modeling into an interactive, conversational process How to architect safe, scalable decision intelligence systems with transparency, governance, and mathematical guarantees Explore the new decision frontier.
