This topic covers the practical deployment of agentic AI and industrial automation across manufacturing and energy operations: the platforms, marketplaces, and frameworks used to build, run and govern autonomous agents that perform intralogistics, operational monitoring, CX/EX automation, and multi‑agent orchestration. Adoption accelerated as firms prioritized resilience, labor‑efficiency, emissions reduction, and real‑time decisioning by 2026. Key trends include no‑code/low‑code agent builders for faster pilots, dedicated agent infrastructure for observability and service integration, and hybrid human‑in‑the‑loop models for high‑risk workflows. Representative solutions illustrate these roles. Gather AI focuses on intralogistics—using autonomous drones, MHE‑mounted cameras and computer vision to continuously digitize warehouses and inventory flows. IBM watsonx Assistant provides enterprise virtual agents and multi‑agent orchestrations with both no‑code and developer workflows for automation across operations and support. Xilos positions itself as an “intelligent agentic AI infrastructure,” emphasizing visibility into connected services and agent activity—addressing governance, auditing and integration needs. StackAI offers an end‑to‑end no‑code/low‑code platform to build, deploy and govern enterprise agents. On the CX/EX front, Yellow.ai supplies channel‑spanning autonomous agents, while Crescendo.ai pairs agentic AI with managed human experts in a platform-plus‑service model to guarantee outcomes for customer‑facing and field workflows. Together these categories—AI automation platforms, agent marketplaces, and agent frameworks—reflect a maturing ecosystem where operational use cases require interoperability, explainability and lifecycle governance. Buyers should evaluate fit by use case (intraday operations, maintenance, customer/employee experience), integration and observability requirements, and whether a managed human overlay is needed for risk‑sensitive tasks.