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HomeNews & Current EventsAugmentir's True Productivity™ Platform Exceeds 5 Million AI-Optimized Time...

Augmentir’s True Productivity™ Platform Exceeds 5 Million AI-Optimized Time and Motion Studies

TLDR: Augmentir, a leader in Agentic AI for connected work, announced that its True Productivity™ algorithm has surpassed 5 million AI-optimized time and motion studies. This milestone highlights the platform’s role in enhancing frontline workforce efficiency and enabling autonomous improvement through industrial AI agents.

HORSHAM, Pa. – November 5, 2025 – Augmentir, recognized as the world’s sole Agentic AI platform for connected work, has announced a significant achievement: its patented True Productivity™ algorithm has exceeded 5 million AI-optimized time and motion studies. This milestone, reached on November 5, 2025, signifies a new era of autonomous improvement driven by industrial AI agents leveraging real-time productivity insights from connected frontline workers.

Since its introduction in 2019, True Productivity™ has established itself as the benchmark for digital time and motion studies. The platform offers manufacturers unparalleled transparency into the performance of their frontline workforce and the efficiency of their processes. Crucially, it enables AI agents to directly utilize these insights to instigate measurable improvements across operations.

Currently deployed across more than 30,000 processes and conducting over 150,000 time and motion studies each month in 70 countries, True Productivity™ has become an industry standard for understanding frontline operational dynamics. The system integrates the industry’s most extensive work execution dataset with advanced AI-driven noise reduction and agentic intelligence. This combination automatically surfaces highly accurate and actionable insights at the process, skill, and procedure levels.

Unlike conventional digital time and motion studies, which often contend with up to 30% unreliable data due to inherent ‘noise’ in frontline worker measurement, True Productivity™ automatically filters out these inconsistencies. It precisely identifies non-value-added time (NVT), process variability, and worker variability, providing a clear, objective understanding of how work is truly performed and where the most significant opportunities for productivity and training enhancements lie.

Designed with continuous improvement teams in mind, Augmentir’s True Productivity™ not only delivers unique insights into individual processes but also automatically prioritizes improvement opportunities across all organizational tiers, including teams, lines, areas, departments, and facilities. This functionality streamlines the efforts of continuous improvement teams, allowing them to consistently focus on the highest-impact areas for productivity and training advancements. Furthermore, with the introduction of Augie™ and the company’s AI Agent Studio, manufacturers can now effortlessly develop and deploy customized AI agents that autonomously act on data derived from True Productivity™.

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Russ Fadel, CEO of Augmentir, emphasized the platform’s dual power, stating, “True Productivity combines the precision of AI-optimized analytics with the power of agentic automation. It’s not just about measuring productivity — it’s about using AI agents to continuously improve it, across every process, every worker, and every site.” This closed-loop system transforms continuous improvement from a manual, reactive process into an intelligent, autonomous cycle, thereby accelerating results, minimizing variability, and amplifying impact throughout the workforce.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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