Aily Labs Super Agent Brings Autonomous AI to Enterprise Decision-Making

When Aily Labs unveiled its new Super Agent at VivaTech 2025, it didn’t just introduce a new AI feature—it declared a shift in how enterprise decisions get made.

The Super Agent, a real-time, autonomous AI decision advisor, is designed to execute business-critical decisions across functions such as supply chain, finance, R&D, and commercial operations. Unlike traditional analytics tools, this AI doesn’t wait for instructions. It actively identifies risks, predicts disruptions, and implements corrective actions—automatically.

WATCH: AI is saving Fortune 500s millions—one autonomous decision at a time.

“This is not incremental AI, it’s a fundamental shift in how businesses operate,” said Aily Labs’ founder and CEO Bianca Anghelina in a company press release. At the core of this transformation is Aily’s AgentIQ™ framework, which enables the Super Agent and its "swarm" of business applied agents to continuously measure their own performance across accuracy, knowledge breadth, and autonomy. The result is an AI system that reasons dynamically and acts independently.

Ask Aime: What impact will Aily Labs' Super Agent have on the finance sector?

The technology is already showing results. Sanofi, one of Aily’s early enterprise clients, has deployed the Inventory Optimization Agent—a key component of the Super Agent "swarm" —and is projecting over $685 million in value from reduced stockouts and rebalanced inventory and avoided $300 million in potential losses using Aily's AI supply chain optimization tools.

These outcomes highlight a fundamental premise behind Aily Labs’ platform: AI should not just support business decisions—it should make them. Built as a ready-to-use Decision Intelligence App, the system taps both internal and publicly available external data, employee calendars and then embeds insights with recommendations directly into calendars, workflows, and operational systems.

“We are unique in terms of really giving transversal insights of the company and breaking the data silos,” Anghelina said during an interview with AInvest. She emphasized that while traditional systems look backward, Aily’s agents are designed to be forward-looking, predicting supply outages and shifting allocations before business impact is felt.

That predictive power translates into autonomy. Once it senses a disruption, Aily says the Super Agent doesn’t just recommend an action—it initiates it. For example, the Inventory Optimation Agent can redistribute products across distribution centers without waiting for human approval. “You now can also give to the agent autonomy to really operationalize those recommendations,” the CEO explained.

The Super Agent’s scope is expansive. From optimizing portfolios through the Plaifolio Agent (forecasted to deliver up to $805 million in R&D net present value) to boosting net sales via a CEO Agent (expected to contribute $500 million), Aily Labs has built a multi-agent ecosystem to tackle business complexity at scale.

For all its sophistication, usability remains central. The system relies on natural language interactions, allowing everyone in a company to receive and act on insights in plain English. But unlike a chatbot, the Super Agent often initiates the conversation—surfacing the right questions before users even know what to ask.

Aily Labs currently works with Fortune 500 companies generating over $1 billion in revenue, targeting enterprises with at least two years of historical data to fuel the system’s machine learning models. The company’s business model is built not on broad market adoption, but on deep, transformative engagements with complex global firms.

“We're obsessed with being ROI positive from day one,” the Anghelina said, underscoring Aily’s emphasis on delivering measurable business value from the very first interaction.

As enterprise leaders grow increasingly wary of AI hype, Aily Labs is betting on action over aspiration. The Super Agent doesn’t just offer a glimpse into AI’s potential—it shows what happens when machines are empowered to run with the data and drive results. And in volatile markets, faster, smarter decisions aren’t just helpful—they’re essential.