AeraHUB 26 NYC will bring enterprise leaders, technology executives and decision-intelligence specialists to Pier Sixty in New York City on October 27–28, 2026, for two days focused on a rapidly emerging question in enterprise AI: what happens when companies move beyond using artificial intelligence to analyze information and begin allowing it to make and execute business decisions?
Organized by Aera Technology, the annual global Decision Intelligence Summit will feature executives and practitioners from Alcon, Coca-Cola Southwest Beverages, Avantor, ExxonMobil, Kerry Group, AstraZeneca, Sol de Janeiro, Bristol Myers Squibb and other major organizations. Participants will discuss how decision intelligence is being applied to operations, supply chains and other business functions, ranging from early deployments to systems operating at enterprise scale.
The distinction between decision intelligence and the broader enterprise AI boom is central to this year’s event. Most corporate AI projects have concentrated on generating content, answering questions, analyzing data or assisting employees. Decision intelligence moves closer to the operational core of a company. Instead of simply telling a manager that inventory is likely to run short, for example, a system can evaluate alternatives, consider company policies and constraints, recommend a response and, where authorized, execute the decision.
Aera Technology argues that this is leading toward what it calls the decision-centric enterprise. Routine decisions can increasingly be automated, while more complicated decisions are augmented by AI and remain under human supervision. People define objectives, policies, constraints and acceptable levels of autonomy, while software handles a growing portion of the continuous decision workload.
An important part of that model is “decision memory.” Once decisions themselves are digitized, organizations can retain not only underlying data but the context in which a decision was made, the action selected and the eventual result. Over time, that creates a record from which future decisions can potentially improve. The idea moves enterprise AI away from isolated prompts and models toward a persistent operational system that can learn from the history of how the organization actually behaves.
Aera Technology co-founder and CEO Fred Laluyaux will open AeraHUB with a keynote on the decision-centric enterprise. His argument is that the next stage of enterprise AI should ultimately be measured not by the number or sophistication of models a company deploys, but by the quality and volume of business decisions those systems can improve. For corporate leaders, that changes the AI conversation from model selection toward operating design: which decisions should be automated, which should remain human, and how should the two interact?
The Summit will also provide the first look at new Aera capabilities for building, governing and scaling decision intelligence. Governance is likely to become particularly important as enterprise AI moves from advising people to taking actions. An AI assistant producing an imperfect summary is one level of risk; an autonomous system changing inventory allocations, production schedules or purchasing decisions introduces a very different requirement for policies, auditability and control.
That transition will be explored further in a session on the autonomous enterprise and the future of work with Harvard Business School professor Joseph Fuller, co-director of the Managing the Future of Work project. The discussion will examine what happens as AI moves from experimentation into the operating model of companies and begins changing not only individual jobs but the allocation of decision-making between people and machines.
AeraHUB will also address the more practical problem of getting started. Florian Selch, CEO and co-founder of Masters of Supply Chain, will lead a discussion with representatives from Nufarm, Oncor, So Help Me Understand and Wallenius Wilhelmsen about selecting initial use cases, establishing trust in AI-generated decisions and creating a foundation from which decision intelligence can expand across an organization.
Live demonstrations will provide a more concrete view of the autonomous-enterprise concept. Aera plans to demonstrate an autonomous value chain and show how decision architects can design and govern the decisions operating within it. A dedicated product track will cover AI economics, policy-driven decision-making, simulation, teams of AI agents and applications involving forecasting, inventory management and supply-and-demand balancing.
The role of the “decision architect” is itself an interesting development. If enterprises increasingly automate decisions, someone has to translate complex business processes into explicit objectives, rules, constraints, exceptions and escalation paths. AeraHUB will include hands-on Decision Architect Training covering how complex decisions can be decomposed, structured into decision frameworks and digitized in the Aera platform.
Consulting and implementation firms are also becoming part of this developing ecosystem. EY, Accenture, Deloitte and ZS Associates will present their perspectives on implementing and scaling decision intelligence, an indication that the technology is beginning to develop the broader services layer normally associated with enterprise platforms moving from experimentation toward large deployments.
The Summit arrives at a particularly interesting point in the evolution of corporate AI. Generative AI demonstrated that machines could interact with employees through natural language. AI agents are now demonstrating that software can perform sequences of tasks with less human intervention. Decision intelligence takes the next step by applying similar capabilities directly to recurring business decisions.
The long-term implication is potentially an enterprise in which thousands or millions of operational decisions are continuously evaluated by software, routine choices are executed automatically and humans concentrate on exceptions, objectives and strategic judgment. That is still an emerging model rather than a completed transformation, and questions around reliability, accountability and governance remain substantial.
AeraHUB 26 NYC should provide a useful look at how far that transition has actually progressed inside large companies. With organizations from pharmaceuticals, energy, consumer products, logistics and manufacturing presenting real deployments, the October gathering will offer something more useful than another general discussion about what AI might eventually do: a view of where enterprises are already willing to let AI participate in the decisions that run their businesses.
AeraHUB 26 NYC takes place October 27–28, 2026, at Pier Sixty in New York City, with participation available both in person and virtually.