Colt McNealy of LittleHorse, founder and chief executive officer, and Scott McNealy of Wayin, chief executive officer, discuss artificial intelligence AI driven Business-as-Code and agentic orchestration for enterprise workflows in a theCUBE plus NYSE Wired Mixture of Experts conversation hosted by Dave Vellante.
McNealy of LittleHorse explains how Business-as-Code addresses fragmented process logic across enterprise systems. They emphasize treating an action layer as the bridge between large language model, or LLM, intelligence and dependable business outcomes. McNealy of LittleHorse also outlines patterns for Kafka-based event capture and workflow observability to support reliable automation.
McNealy of Wayin highlights the need to codify deterministic workflow components to support compliance and debugging. They discuss incremental deployment, composable business modules and integration with existing SaaS and data platforms as strategies to modernize legacy estates and enable auditable AI-driven automation.
The conversation covers governance patterns for agentic automation, agent integration strategies, and design considerations for observable auditable workflows. Viewers gain practical guidance for implementing Business-as-Code and integrating AI and LLMs into enterprise workflow automation.
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Scott McNealy, Sun Microsystems & Colt McNealy, LittleHorse
Colt McNealy of LittleHorse, founder and chief executive officer, and Scott McNealy of Wayin, chief executive officer, discuss artificial intelligence AI driven Business-as-Code and agentic orchestration for enterprise workflows in a theCUBE plus NYSE Wired Mixture of Experts conversation hosted by Dave Vellante.
McNealy of LittleHorse explains how Business-as-Code addresses fragmented process logic across enterprise systems. They emphasize treating an action layer as the bridge between large language model, or LLM, intelligence and dependable business outcomes. McNealy of LittleHorse also outlines patterns for Kafka-based event capture and workflow observability to support reliable automation.
McNealy of Wayin highlights the need to codify deterministic workflow components to support compliance and debugging. They discuss incremental deployment, composable business modules and integration with existing SaaS and data platforms as strategies to modernize legacy estates and enable auditable AI-driven automation.
The conversation covers governance patterns for agentic automation, agent integration strategies, and design considerations for observable auditable workflows. Viewers gain practical guidance for implementing Business-as-Code and integrating AI and LLMs into enterprise workflow automation.