Augmentir Transforms Frontline Operations With AI-Native Connected Worker Solution
21 Aug, 2025
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Executive Summary
Augmentir delivers an AI-powered connected worker solution that helps industrial firms digitize frontline operations, accelerate workforce onboarding and improve real-time decision-making. Its platform, built from the ground up on AI, combines generative and agentic AI, digital workflows, skills intelligence and performance analytics, to address common workforce challenges such as high turnover, skills shortages, inconsistent execution and manual processes. Augie, its embedded AI assistant, enables rapid content creation and automated task support, as well as conversational data analysis and no-code workflow customization. This report explores how industrial leaders such as Colgate-Palmolive, Graphic Packaging, Mondelez International and several other Fortune 500 manufacturers have used Augmentir to reduce training time, improve maintenance execution and uncover efficiency opportunities within their frontline operations. Organizations seeking to enhance productivity and standardize procedures – while building more resilient frontline teams – will find this report a valuable resource for evaluating Augmentir’s impact.Augmentir applies AI to boost frontline productivity and eliminate operational friction
Industrial firms are held back by disconnected and outdated frontline operations
Augmentir uses AI to transform frontline operations through smarter workflows and data-driven workforce intelligence
Firms focused on optimizing their frontline workforce should consider Augmentir
About the Authors

Josh Graessle
Senior Analyst
Josh is a Senior Analyst at Verdantix, covering asset maintenance management, industrial engineering design and construction, and asset management services. He advises softwar...
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
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