L2L and AWS Launch AI to Tackle Manufacturing's Productivity Crisis

SALT LAKE CITY, UT – April 13, 2026 – In a direct challenge to over a decade of declining industrial productivity, manufacturing software leader L2L today launched L2L Execution AI, a new intelligence platform running on Amazon Web Services (AWS). The system is designed to transform factory floor operations by moving beyond simple data analysis to prescribe specific, actionable solutions to production bottlenecks in real time.

The launch comes at a critical juncture for the manufacturing sector. Despite heavy investment in automation and the Internet of Things (IoT), industrial productivity has been a significant concern. Economic data reveals a stark reality: after decades of robust growth, U.S. manufacturing labor productivity has been largely stagnant or declining since 2011. This prolonged slump has left many plants struggling to surpass an average Overall Equipment Effectiveness (OEE) of 60%, a key measure of manufacturing performance.

L2L's new platform aims to shatter this ceiling by targeting what it calls the "analytical bottleneck"—a state where frontline workers spend up to half their time hunting for information across disparate, siloed systems rather than solving problems. By leveraging AI, the company intends to turn a constant state of reactive firefighting into one of proactive prevention.

"The launch of L2L Execution AI is about moving beyond simply recording what happened and providing the frontline with real-time, actionable steps to improve plant productivity," said John Davagian, CEO at L2L. "By collaborating with AWS, we are ensuring our customers have access to a solution that is as reliable and scalable as it is innovative. This ensures that frontline effort is always directed toward the most urgent operational priorities."

Addressing a Decade of Stagnation

The problem L2L Execution AI confronts is not theoretical; it is backed by years of economic data. The period between 1987 and 2007 saw U.S. manufacturing labor productivity grow at a healthy average of 3.4% per year. However, from 2010 to 2022, that figure plummeted to an average annual decline of -0.5%. This dramatic slowdown has been a persistent puzzle for economists and a source of frustration for manufacturers who have invested billions in new technology with limited impact on output.

L2L's diagnosis points to a data-rich, information-poor environment. Modern factories generate immense volumes of data from sensors, machines, and operational logs. However, this data is often trapped in separate systems—maintenance, quality, production scheduling—making it nearly impossible for a frontline team to quickly diagnose and solve a complex issue. The result is recurring problems, extended downtime, and a reliance on temporary fixes rather than permanent solutions.

L2L Execution AI is engineered to bridge these information gaps, providing a unified intelligence layer that synthesizes data and delivers clear directives, aiming to raise the industry's baseline OEE.

From Analytics to Action: The 'Solver' Revolution

The core innovation of L2L Execution AI lies in its specialized AI-driven prompts, which the company calls "Solvers." These are not just another analytics dashboard. Instead of merely predicting that a machine might fail, a Solver is designed to function as a prescriptive expert, identifying the root cause of a problem and recommending the precise sequence of actions required to fix it.

This marks a significant evolution from predictive to prescriptive AI on the factory floor. While predictive systems have become more common, they often leave the "what to do next" question unanswered. L2L's Solvers aim to eliminate that ambiguity by providing immediate, context-aware guidance for issues related to Machine Analysis, Preventive Maintenance, and Operational Availability.

By automating the tedious work of data correlation and root cause analysis, the platform allows maintenance and operations teams to bypass days of investigation and move directly to execution. This shift from observation to action is critical for breaking the cycle of chronic failures that plague many manufacturing facilities, ensuring that problems are not just seen, but solved for good.

A Strategic Alliance for Scalable Intelligence

The decision to build L2L Execution AI on Amazon Web Services is a strategic one that extends beyond simple cloud hosting. The collaboration provides L2L with the immense scalability, security, and global reach of AWS, but more importantly, it offers access to a powerful suite of advanced AI and machine learning tools. This partnership lends significant technical credibility to L2L's offering and assures large-scale manufacturers that the solution can grow with their needs.

"Manufacturers are looking for proven ways to turn their data into a competitive advantage," noted Ben Schreiner, Head of AI and Modern Data Strategy for AWS. "L2L Execution AI is a powerful example of how innovation can bridge the productivity gap on the shop floor. We are excited to work with L2L to bring these advanced AI capabilities to customers, helping them stabilize and optimize their operations at scale."

To underscore the depth of their collaboration, L2L and AWS are co-hosting a webinar on May 6, 2026. The session will feature both Davagian and Schreiner discussing how to bridge the gap between cloud-scale computing and shop floor execution, with a focus on guiding manufacturing leaders on their journey from being merely "AI curious" to becoming "AI-first" organizations.

Available immediately, L2L Execution AI is already being deployed with early adopters, who have reportedly seen tangible productivity gains within weeks. For a sector hungry for a breakthrough, this fusion of targeted AI and cloud power represents a compelling new strategy to finally move beyond the productivity plateau.