This episode explores business transformation and decision intelligence in enterprise artificial intelligence, abbreviated AI. Fred Laluyaux of Aera Technology, co-founder and chief executive officer, explains how decision intelligence digitizes the memory of organizational decisions and enables agentic automation. On theCUBE Research, hosts John Furrier and Gabe Olave explore enterprise AI adoption and governance shifts from accuracy to authority, present the Decision Ledger concept and examine Aera's approach to operationalizing AI across supply chain, finance and revenue operations.
Key takeaways include that frontier large language models, abbreviated LLM, are commoditizing and competitive advantage now resides in encoded business logic, context and execution, according to Laluyaux. They emphasize building a decision infrastructure comprising a Decision Ledger, a policy layer and a real-time execution loop—Understand Recommend Act Learn—to govern agents, enable learning from decisions and scale operations. The discussion highlights momentum in 2026 as requests for proposals shift from why to how quickly to implement and outlines practical approaches to applying decision intelligence to accelerate business transformation.
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Fred Laluyaux, Aera Technology
This episode explores business transformation and decision intelligence in enterprise artificial intelligence, abbreviated AI. Fred Laluyaux of Aera Technology, co-founder and chief executive officer, explains how decision intelligence digitizes the memory of organizational decisions and enables agentic automation. On theCUBE Research, hosts John Furrier and Gabe Olave explore enterprise AI adoption and governance shifts from accuracy to authority, present the Decision Ledger concept and examine Aera's approach to operationalizing AI across supply chain, finance and revenue operations.
Key takeaways include that frontier large language models, abbreviated LLM, are commoditizing and competitive advantage now resides in encoded business logic, context and execution, according to Laluyaux. They emphasize building a decision infrastructure comprising a Decision Ledger, a policy layer and a real-time execution loop—Understand Recommend Act Learn—to govern agents, enable learning from decisions and scale operations. The discussion highlights momentum in 2026 as requests for proposals shift from why to how quickly to implement and outlines practical approaches to applying decision intelligence to accelerate business transformation.
In this interview from theCUBE + NYSE Wired: Business Transformation Edge, Fred Laluyaux, co-founder and chief executive officer of Aera Technology, joins theCUBE's John Furrier to discuss how enterprise AI is shifting decision-making from people to digitized, governed systems. Laluyaux explains that the conversation has moved from "what is our strategy" to "how do we operate with AI at its core." He notes that agents have evolved from advising to transacting, shifting governance from accuracy to authority. As models commoditize, differentiation moves up the ...Read more