Aera Technology introduced six agentic innovations that help enterprises automate, govern, and scale decision-making across their operations, enabling organizations to turn business challenges into repeatable automated decisions while maintaining consistent policies and tracking outcomes.
- Skill Building: Users can transform business challenges into governed decision automation in a single working session using plain language prompts and Aera's guided workflow.
- Decision Ledger: Creates a complete, traceable record of every decision including business context, reasoning, policies evaluated, actions, and outcomes for full transparency and accountability.
- Policy Studio: Converts enterprise policies into enforceable rules that govern decisions in real-time, with testing capabilities before enforcement and consistent application across decision types.
- Agent Interoperability: Integrates Aera with existing enterprise agents and tools, enabling organizations to leverage current AI investments while adding decision intelligence and governance.
- Command Center: Provides enterprise-wide visibility into decision activity, performance, and business impact, helping organizations monitor outcomes and identify improvement opportunities at scale.
Aera Technology introduced six innovations in agentic decision intelligence that accelerate how enterprises build, govern, and scale automated decision-making.
The capabilities 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.
Together, they advance the shift to a decision-centric enterprise, where decisions are continuously optimized and executed to drive measurable business outcomes.
“The next unlock for enterprise performance is better decisions across the value chain,” says 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.”
Key takeaways:
· Skill Building: 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.
· Decision Ledger: Creates a persistent, traceable record of every decision, whether made in Aera or sent from another system through Aera’s API, capturing the business context, reasoning, policies evaluated, actions, and outcomes behind each one. Aera even spots decisions made in conversation and asks a person to confirm them.
· Policy Studio: Enables organizations to 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.
· Agent Interoperability: Enable Aera to work with existing enterprise agents and tools. This allows organizations to bring Aera’s decision intelligence into existing workflows, reuse AI investments, and connect agents with the business context, governance, and execution capabilities needed to drive enterprise outcomes.
· Dynamic UX: Enables users to create and adapt experiences using natural-language prompts and Aera’s own charts, tables, recommendations, and action items, then publish them as part of a skill. Dynamic UX delivers a redesigned Aera experience that puts skills at the center and makes them rich and interactive, moving beyond the traditional recommendation inbox. This makes it easier to tailor how people interact with decision intelligence based on their roles and the decisions they need to make.
· Command Center: Provides visibility into decision activity, performance, and business impact enterprise-wide. It covers every type of decision: structured and situational, augmented and automated. It helps organizations monitor decisions, understand their outcomes, and identify opportunities to improve performance as decision intelligence scales.
