L2L Launches Execution AI on AWS, Transforming Manufacturing Intelligence

L2L Launches Execution AI to Enhance Manufacturing Productivity



L2L, recognized as a leader in Connected Manufacturing Operations, has recently unveiled its latest offering, Execution AI. This innovative solution is designed to empower manufacturers by driving proactive shop floor intelligence. Leveraging the capabilities of Amazon Web Services (AWS), Execution AI aims to tackle the pressing productivity challenges that manufacturers face today.

Addressing the Productivity Gap


Despite substantial investments in automation and Internet of Things (IoT) technologies, global industrial productivity has been on a decline since 2011. Data indicates that many manufacturing plants are stuck at an optimal equipment effectiveness (OEE) level of about 60%. A significant issue contributing to this stagnation is that the average employee spends nearly half of their workweek simply gathering information from disparate systems. L2L Execution AI seeks to eliminate this inefficiency by transforming complex data into actionable insights and suggestions.

According to John Davagian, CEO of L2L, "The introduction of L2L Execution AI moves us beyond just documenting incidents; it arms frontline teams with real-time, actionable steps designed to enhance plant productivity." By partnering with AWS, L2L is positioning its customers to benefit from a reliable and scalable solution, directing operational priorities towards the most pressing issues.

AI-Driven Solutions for Faster Resolutions


One of the standout features of L2L Execution AI is its suite of specialized tools known as Solvers. These predefined prompts facilitate plant teams in avoiding traditional delays linked to manual data analysis and reporting. By delivering immediate visibility into critical areas such as machine performance, preventive maintenance, and operational availability, these AI-driven Solvers help identify latent bottlenecks and their root causes. They also prescribe precise actions required to restore production effectively.

Ben Schreiner, who leads AI and Modern Data Strategy for AWS, commented, "Manufacturers are actively seeking reliable methods to leverage their data for competitive advantage. L2L Execution AI showcases how innovation can eliminate the productivity gap in manufacturing settings." This exciting collaboration promises to enable manufacturers to stabilize and optimize their operations significantly.

Key Benefits and Immediate Availability


Organizations implementing L2L Execution AI can expect to transition from merely fixing recurring issues to fostering continuous improvement—a necessity for achieving world-class manufacturing standards. Early adopters have already begun seeing tangible returns on investment (ROI) and notable productivity enhancements within weeks of the system's rollout.

In addition to the launch, L2L and AWS have scheduled a joint webinar titled “Redefining Manufacturing Potential with AI”, set for May 6, 2026. In this session, Ben Schriener and John Davagian will share insights on how their collaboration bridges the gap between cloud capabilities and on-ground execution, transforming data into actionable insights.

About L2L


L2L is the Connected Manufacturing Operations Platform, hailed as the heartbeat of modern factories. This solution has been crafted by manufacturers, for manufacturers, with the end goal of removing operational obstacles that hinder productivity. By unifying disconnected systems, L2L provides real-time guidance for frontline teams and directors with enhanced operational visibility. Following the L2L Method, a verified path to stabilizing, standardizing, and optimizing operations, customers reporting significant improvements in as little as 16 weeks.

With an impressive track record, L2L has been pivotal in assisting global manufacturers in identifying issues that lead to a remarkable $5 billion in savings on downtime costs. Discover more about L2L and how Execution AI can elevate your manufacturing operations at l2l.com.

Topics Consumer Technology)

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