Aera unveils six tools to automate enterprise decisions

Aera Technology has introduced six products for agentic decision intelligence, broadening its push into software that manages and automates business decisions across large organisations.

The additions cover skill creation, decision tracking, policy management, interoperability with other AI agents and tools, user interface design, and monitoring of decision activity. They are intended to help companies build, govern and expand automated decision-making across areas including production, shipping, procurement and customer demand.

Six additions

The first product, Skill Building, lets users create decision automation from a business prompt written in plain language. A user can describe a task such as identifying at-risk suppliers, review a proposed plan, refine it and approve it in a single working session.

That marks a shift away from specialist development and configuration work towards a more conversational model for setting up decision workflows. The aim is to help organisations update decision logic as operating conditions change.

Decision Ledger is designed to record each decision taken within Aera or passed into the system from another platform through an application programming interface. It stores business context, reasoning, policies assessed, actions and outcomes, and can identify decisions made in conversation and ask a person to confirm them.

Policy Studio focuses on governance. Users can upload a policy document or describe a rule in plain language, after which the software drafts rules for human approval and allows them to be tested against live decisions before enforcement.

Once active, the rules can block a decision, request approval or issue a warning. The results of policy checks are recorded in Decision Ledger to provide traceability.

Interoperability focus

Another part of the release centres on links with other software. New interoperability functions allow the platform to work with Microsoft Copilot Studio, external agents through Agent2Agent, and external tools through Model Context Protocol.

The move reflects a wider trend in enterprise AI, as software suppliers try to make their systems work alongside existing assistants, agents and workflow tools rather than requiring customers to rebuild processes from scratch. For buyers, interoperability has become a key issue as businesses seek to connect AI tools to operational systems and decision controls.

Dynamic UX focuses on how users interact with automated decisions. Employees can create and adapt interfaces with natural-language prompts, use charts, tables, recommendations and action items, and publish them as part of a skill.

The final product, Command Centre, gives companies a way to view decision activity, performance and business impact across the organisation. It spans structured and situational decisions as well as augmented and automated ones.

Decision model

Aera has framed the launch around the idea that many businesses have invested in AI tools without yet changing how operational decisions are made. Its argument is that business value depends less on a model completing a task and more on how companies choose between options, apply policy, execute actions and assess the result.

That position places Aera in a segment often referred to as decision intelligence, which combines data, automation, governance and feedback loops around operational choices. The software is aimed at enterprises that want to turn repeatable business judgements into systems that can be reviewed and adjusted over time.

"The next unlock for enterprise performance is better decisions across the value chain," said Fred Laluyaux, Co-Founder and Chief Executive Officer 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," said Laluyaux.

Aera also emphasised the idea of decisions as a managed digital asset rather than a temporary workflow outcome. In that model, records of previous choices and their consequences become part of the business's operating knowledge.

"Our vision has always been to manage decisions as a digital asset: captured, governed, and continuously improved," said Shariq Mansoor, Co-Founder and Chief Technology Officer of Aera Technology.

"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," said Mansoor.