What would add value to a comprehensive, AI-based connected frontline worker (CFW) platform? Augmentir has added more customized and agentic AI, and we see considerable potential benefits. This company launched in 2019 with AR and deep machine learning-based AI, and has most recently added a no-code industrial AI agent studio. This is an addition to their GenAI-based Augie capabilities that span the platform.
Two-Way Frontline Data Flows
Augmentir set out to address “the impact of a smaller, less skilled, and less experienced frontline workforce” and is making headway in building out the software and the customer base. The concept is to have a single pane of glass where a frontline worker gets everything they need, in context, and nothing more. The platform integrates with a wide variety of plant and enterprise software for training and daily work.
Augmentir’s platform includes what most CFWs do: content authoring and conversion for instructions, a skills matrix, knowledge management, and sharing. It delivers any needed training based on the user’s profile and previous experience with a particular task in the flow of work. It also includes data visualization and reporting, with Microsoft’s Power BI embedded in the Augmentir platform. The founders also have an augmented reality background, so leveraging that immersive approach is native.
Where it differs from other CFWs: Augmentir aims to close the loop with machine-learning style AI, analyzing data from the operation to identify top opportunities for continuous improvement. As work proceeds day-to-day, deficiencies or errors in performing tasks appear by task, machine, worker, or cohort of workers. They call these True Insights. These indicate not only where more training might be needed, but also where to focus efforts to improve process efficiency, instruction clarity, or safety.
What’s New
In early 2025, Augmentir introduced its Industrial AI Agent Studio. This builds on the 2-year-old Augie GenAI in the platform. Augie already included Assistants for Work, Content, Data, and Extensibility, as well as APIs.
Now, it also includes agents for maintenance notifications and what they call True Productivity. True Productivity is a stacked ranking across people and work processes. Seeing the ranking from best to worst indicates where targeted training is needed – a job or area, a worker, or a work cohort. This augments the existing data flows for continuous improvement and targeting training.
Six Laws of AI Agents
Augmentir has very large customers, and this no-code approach to building agents enables them to craft agents specifically tailored to their needs. The company has published its Six Laws of AI Agents, and its Industrial AI Agent Studio helps companies build agents that adhere to those laws. Simply, they are:
- Transparency in execution
- Clear ownership by a human
- AI origin disclosure
- Persistent AI disclosure
- Human-in-the-loop for impactful actions
- No GenAI for life-critical actions
These are sensible governance principles to safeguard their customers’ and workers’ integrity and safety.
Customers and Value
So, if companies have MES, QMS, SCADA, and more, what added value can they gain from using Augmentir? Target markets include food & beverage, paper, CPG, building materials, chemicals, pharmaceuticals, and industrial equipment. These companies do not all have deep MES that supports workers well, and they have many other systems that contribute to the data for the frontline.
They have customers in over 70 countries, including many large global players. Some have measured value. The large print in the diagram below shows a pure benefit. The small print is fascinating—a comparison of this inherently AI-based approach vs. earlier generation or non-AI-based approaches to CFW. The delta is significant (250% to 400%) in every case.
One company reported that if every worker just followed standard work, the operation would be 31% more efficient. With employee turnover high, cutting onboarding time by 82% with this on-the-job training and support is also significant. Saving time on issue resolution is always valuable, as time is a resource that cannot be replaced.
To build out the model of what should be happening in a plant, Augmentir has always supported time-and-motion studies. Customers have now conducted over 5 million optimized time-and-motion studies on this platform.
Our Take
It’s great to see Augmentir’s expansion to include every flavor of AI (ML, Gen, and Agents). We are particularly pleased to see their Six Laws of AI Agents as guidelines built into their new Industrial AI Agent Studio.
Those seeking a CFW to support a wide range of use cases would be well-served to review Augmentir and its platform. Beyond workforce instruction and training, this is natively designed to accelerate a range of continuous improvement efforts.
This company was founded by some of the most successful serial entrepreneurs in the industrial software market. The brand-name customers making enterprise decisions to buy and implement Augmentir speak well to the confidence they have in this company and its platform.
Thank you, Chris Kuntz, for briefing our Rick Franzosa and Julie Fraser. We look forward to following your progress in the market.
