Aera Technology used its AeraHUB 26 conference in New York to introduce and detail the mechanics driving six new services that work in agentic decision intelligence, designed to accelerate the methods and processes by which enterprises build, govern and scale automated decision-making.
Aera said organisations running new-age agentic services today need the ability to capture business context, enforce policies, retain decision histories and continuously improve outcomes as autonomous agents make and execute choices.
The capabilities it has built aim to connect decisions across the value chain, turn business challenges into repeatable decision automation, and capture and retain the knowledge, policies and outcomes behind every decision. According to Aera, these capabilities shift businesses to decision-centric enterprises, where decisions are continuously optimised and executed to drive measurable business outcomes.
Discussing the challenges in automating decision-making, Shariq Mansoor, co-founder and chief technology officer of Aera Technology, said: “A decision has options, trade-offs, rules and an outcome someone answers for, and in most companies it still lives in meetings and spreadsheets, and is forgotten the next day.”
This, he said, is the “what, why, when and where” behind the technology Aera has built.
“We have designed, tested and built one system where decisions are made, checked against the company’s policies, recorded with their reasoning, and learned from [it]. The language model is one part inside it, and we replace it as better ones arrive,” said Mansoor.
The Aera team said realising greater value from AI requires fundamentally changing how businesses operate, starting with the decisions that drive operational performance – what to make, where to ship, when to buy, and how to meet customer demand. This means moving from data-driven decision-making to being decision-centric. It requires moving away from using data to inform or justify choices to engineering how decisions are made, executed and improved.
“The next unlock for enterprise performance is better decisions across the value chain,” said Fred Laluyaux, co-founder and CEO of Aera Technology. “AI is already making people more productive, but the bigger opportunity is transforming how businesses make and execute decisions. That is the shift to a decision-centric enterprise. With today’s innovations, we are making it dramatically easier to put that vision into practice.”
As AI takes on a greater role in enterprise decision-making, Laluyaux said: “Reasoning alone is not enough.”
Although an agent can perform a task, he said a decision has a plethora of options, trade-offs, policies and an outcome someone is accountable for.
Building, governing and scaling decision intelligence
Building on Aera’s foundation for agentic reasoning, the company is providing a skill-building capability. The idea is that users can start with a business challenge in plain language, prompt Aera to develop a plan, review and refine the proposed approach, approve it, and turn it into governed decision automation, often within a single working session.
Skills are created, refined and updated by talking to Aera. The company said this enables organisations to adapt and improve decisions continuously as business needs change.
Aera has also introduced Decision Ledger, which creates a persistent, traceable record of every decision, whether made in Aera or sent from another system through Aera’s application programming interface, capturing the business context, reasoning, policies evaluated, actions and outcomes behind each one.
Aera said it can spot decisions made in conversation and prompt a person to confirm them. By bringing structured and situational decisions into a common record, the company said it is able to preserve institutional knowledge, supports audit and review, and makes past decisions and their outcomes available to inform future decisions.
The Policy Studio feature is designed to let organisations turn enterprise policies into rules that govern decisions as they are made. Teams upload a policy document or describe a rule in plain language, and Aera drafts the rules for a person to approve.
Rules can be tested against live decisions before enforcement. Once active, they apply consistently across relevant decision types and can block a decision, require approval or warn. The results of policy evaluations are captured in Decision Ledger, providing traceability and evidence of how decisions were governed.
“Our vision has always been to manage decisions as a digital asset: captured, governed and continuously improved,” said Mansoor. “These innovations automate that entire lifecycle, making it possible to capture every kind of decision, control the policies that govern them and enable the platform to learn from each one. And because the build itself is now automated, enterprises can automate far more decisions, far faster, and every skill becomes another digital asset they own.”
Other functions on offer include Agent Interoperability, to connect decision intelligence across the enterprise, and Dynamic UX, which enables users to create and adapt experiences using natural-language prompts.
The interoperability capabilities enable Aera to work with existing enterprise agents and tools, including Microsoft Copilot Studio, external agents through Agent2Agent, and external tools through Model Context Protocol.
Aera is also providing a feature called Command Center, which it said provides visibility into decision activity, performance and business impact enterprise-wide to help organisations monitor decisions, understand their outcomes and identify opportunities to improve performance as decision intelligence scales.
