Regulated industries demand decision systems that are not only intelligent but provably accountable. This talk presents a neurosymbolic, multi-agent paradigm that fuses optimization principles with the adaptive reasoning of generative agents. We demonstrate how constraint-solving agents, policy-auditor agents, and generative-planner agents can collaborate to ensure fairness, explainability, and compliance in high-stakes domains such as energy, healthcare, precision medicine, and finance. By treating governance rules as symbolic constraints within an agentic ecosystem, enterprises can operationalize “trust by construction” and transform compliance into an enabler of innovation. The session concludes with a forward-looking roadmap for AI leaders and researchers to co-develop neurosymbolic ecosystems that are explainable, auditable, and aligned with human values and organizational goals.