New AI innovations help industrial companies in manufacturing, service, energy and construction identify and capture the largest workforce performance opportunities.

HORSHAM, PA – August 4, 2021 Augmentir, Inc., the world’s only provider of artificial intelligence-based connected worker software, today unveiled its latest product innovations that are redefining how AI is being used to improve safety, quality, and productivity in industrial frontline work. The company announced the release of several new product features which improve and expand the in-app AI insights that deliver performance optimization opportunities to any industrial company with frontline workers.

Augmentir’s AI Suite leverages anonymized data from millions of job executions to significantly improve and expand its ability to automatically deliver in-app AI insights in the areas of productivity, safety, and workforce development, increasing the benefits to Augmentir customers.

Augmentir’s latest product innovations include:

  • Enhanced Workforce Development Insights – Augmentir’s AI automatically delivers workforce development insights, providing companies with laser focus on where each individual in your workforce has room for improvement to maximize the value per dollar spent on upskilling, and understand what types of training would have the largest impact on operational improvement.
  • Improved Quantifying of Work Process Re-Capture Times  – Augmentir’s AI engine now provides a more refined True ProductivityTM stack ranking of the amount of productivity per work process that can be captured and what actions are needed to capture it.
  • New AI-derived True Benchmark™ – Using the highly granular data from work execution, Augmentir’s AI predicts ideal execution times for each work process, quantifying the productivity opportunity across all frontline work activities and helping companies better evaluate performance improvement efforts.
  • New True Proficiency™ Score – Augmentir’s AI helps to objectively baseline each of your team members for their level of proficiency at every task so organizations can optimize productivity and throughput, intelligently schedule based on proficiency and skill-levels, and personalize the level of guidance and support to meet the needs of each member of the workforce.
  • New True Engagement™ –  Augmentir’s AI predicts the engagement level of each of your team members to help identify areas where early intervention would be beneficial. Based on the platform’s AI insights, companies have the tools to increase engagement through higher levels of interactivity, modification of task assignments, additional positive reinforcement, and targeted training.

Augmentir customers like Colgate-Palmolive, Bio-Chem Fluidics, and STRONGARM are already leveraging Augmentir’s AI in conjunction with the platform’s digital workflow and remote collaboration capabilities to optimize their frontline operations and deliver significant growth and continuous improvement in the areas of manufacturing, maintenance, service, and quality. The latest updates to Augmentir’s AI suite now improve and expand those benefits.

“Augmentir has given us the power to make data-driven decisions regarding our business and operational environment,” said Bio-Chem Fluidics Operations Manager, Conor Puckett. “By looking at the insights generated from the Augmentir platform, we are able to understand and target the areas of our manufacturing environment that can drive the most gain back to the business, resulting in a 21% improvement in productivity across our manufacturing operation.”

According to Gartner, “AI will play a critical role in the long-term success of connected factory workers.” Gartner further adds, “As more information is curated and made available, algorithms must be continually trained in a Plan-Do-Check-Act (PDCA) approach in alignment with continuous improvement initiatives.”

“Today’s connected frontline workforce is a new and valuable source of data for the enterprise. A challenge is that this data is inherently noisy, making traditional business intelligence approaches useless in surfacing the productivity and workforce development opportunities contained within,” said Russ Fadel, CEO and Co-Founder of Augmentir. “Augmentir’s embedded AI engine automatically cleanses this data and presents a stack ranked view of your opportunities for productivity, quality, and workforce development, helping companies to remain competitive in an era of intense global competition.”

To learn more about Augmentir and how its AI-powered connected worker platform is delivering performance optimization for industrial companies, visit augmentirdev.ai.

About Augmentir

Augmentir™ is the world’s only AI-Powered Connected Worker platform for industrial companies. Augmentir is the first of its kind to combine enterprise augmented reality (AR) with artificial intelligence and machine learning (AI/ML) to intelligently close skills gaps so that frontline workers can perform their jobs with higher quality and increased productivity while driving continuous improvement across the organization. Augmentir is being used to help intelligently guide and support frontline workers in a wide range of industrial use cases – from manufacturing teams on the shop floor to service and repair teams out in the field. For more information, please visit www.augmentir.com.

As a leader in the connected worker software market, we have experienced the highs and the lows that the pandemic has brought to the industrial frontline worker market. One area that stands out in particular is the equipment field service space. Equipment OEMs typically support the installation, startup, maintenance, and repair of their products through […]

As a leader in the connected worker software market, we have experienced the highs and the lows that the pandemic has brought to the industrial frontline worker market. One area that stands out in particular is the equipment field service space. Equipment OEMs typically support the installation, startup, maintenance, and repair of their products through some combination of a direct service force, a dealer service network, or their customers. For sophisticated equipment, much of this work has required visits to the customer site, which was made virtually impossible when the COVID pandemic spread.   

This created a real problem, since the “instructions” available to support these services were designed for technicians that already knew how to perform the work.  OEMs had to quickly find a way to project some type of virtual presence, to mimic being on-site as closely as possible. 

This led to a rush to implement either industrial “remote expert” tools, enterprise collaboration products like Cisco Webex and Microsoft Teams, or consumer products like FaceTime.

While these solutions have been good at providing a short term band-aid to relieve the symptom, they don’t really address the underlying problem – the lack of rich, interactive workflows that are able to guide technicians with a wide range of skills to perform these tasks safely, correctly, and at an acceptable level of productivity. It’s a similar scenario to taking aspirin to treat a fever from an infection – aspirin may provide short-term relief, but ultimately it masks the presence and reduces the urgency to treat the underlying cause. Without looking forward and taking the next step in the connected worker journey, OEM’s will forever be required to provide 100%, synchronous, live support to make sure these tasks are done correctly and that customers are satisfied.

Achieving Digital Maturity to Reduce Support Costs and Improve Customer Satisfaction 

At Augmentir, we see “Digitally Mature” organizations as those that are continually moving forward on the digital continuum and have the ability to drive continuous improvement through the adoption of tools that help digitally connect their workforce. 

For equipment OEMs, we see digital maturity happening over four stages of the connected worker journey: 

Connected Worker Journey in Field Service

Step 1 – Remote Assistance

Industrial AR-based remote assistance solutions that provide worker guidance and support are a simple first step in the connected worker journey. Designed to be used by field service technicians or customers, these industrial solutions allow companies to provide rich interactive (chat, voice, video) support to field techs or customers to solve an immediate need.

Step 2 – Augmented, Guided Instructions 

With a connected workforce, equipment OEMs can drive greater efficiency by digitizing paper-based work instructions and maintenance/repair procedures. Digital work instructions help intelligently guide technicians (or customers) of all skill levels to complete these tasks independently and correctly. 

In this scenario, remote assist plays a supporting role (as it should) to ensure customer satisfaction. Customers have higher satisfaction rates because the work is done on their time schedule and OEMs see a reduction in their direct support costs.  

Step 3 – AI Support Bots

OEMs can drive further service optimization through AI support bots that provide autonomous, digital assistance.

Service technicians that require additional support can benefit from AI bots that autonomously deliver answers to questions, digital content such as drawings, pictures and videos, and rich sets of digital work instructions, to help workers resolve issues and complete the work independently. This allows a portion of customer remote assist requests to be handled autonomously, further increasing customer satisfaction and reducing direct support costs.

Augmentir Remote Assist for Field Service Technicians

Step 4 – AI-based Opportunity Insights

As workers become more connected, companies have access to a new rich source of activity, execution, and tribal data, and with proper AI tools, can gain insights into areas where the largest improvement opportunities exist for their service delivery. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of productivity, quality, and workforce development, setting the stage to address the needs of a constantly changing workforce.

For example, after Augmentir is deployed for a number of months, our AI engine will start identifying patterns in the data that will allow you to focus your efforts on the areas that have the biggest customer satisfaction, productivity, and field service workforce development opportunities. This will allow you to answer questions such as:

  • Where should I invest to get the biggest improvement in customer satisfaction?
  • What service tasks have the largest productivity or quality opportunity?
  • Where would targeted training give me the biggest return?

Augmentir’s True Opportunity™ engine continuously updates its insights to enable companies to focus on their largest areas of opportunity, enabling you to deliver year over year improvements in key customer service metrics.

What is Your Digital Maturity?

Imagine, as you move forward on your connected worker journey, increasing customer satisfaction while reducing support costs, all while making your service delivery more productive – across your direct staff, dealers, or end customers.

Contact us today to take our digital maturity assessment and start your journey towards a digitally connected enterprise.

Gartner recently published their annual Hype Cycle for Frontline Worker Technology, and Augmentir was recognized as an important player and solution provider. The report covers emerging tech categories for frontline workers including Connected Factory Workers, Remote Expert Guidance solutions, and Augmented Reality. Digital Technologies for Frontline Workers This Hype Cycle focuses on the leading-edge technologies […]

Gartner recently published their annual Hype Cycle for Frontline Worker Technology, and Augmentir was recognized as an important player and solution provider. The report covers emerging tech categories for frontline workers including Connected Factory Workers, Remote Expert Guidance solutions, and Augmented Reality.

Digital Technologies for Frontline Workers

This Hype Cycle focuses on the leading-edge technologies that are transforming the workflows in which frontline workers participate, while also improving the safety, quality, and productivity of the activities they perform.

According to the report, “The COVID-19 crisis has led organizations to ask frontline workers to work in new ways or to perform new tasks. To optimize efficiency, organizations are investing in mobile technology, including wearable technologies for frontline workers. These technologies transform the workflows in which these workers participate. Gartner predicts that up to 70% of new mobile and endpoint investments over the next five years will be for frontline workers”.

This Hype Cycle highlights several key mature and emerging technologies that are focused on helping frontline worker productivity, including the following:

  • Remote Expert Guidance Solutions: Remote expert guidance solutions provide industrial-level collaboration between subject matter experts and remote workers or customers utilizing mobile or wearable devices. Typical features include chat, live video, file sharing, and annotations, which provide visual cues that overlay the worker’s view. These tools help guide remote workers as they perform tasks, and are used across a variety of use cases – maintenance and repair procedures, remote factory acceptance tests, post-task audits, or training.
  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. This technology helps connect workers to the “digital fabric” of the business, providing insight into the tasks they perform so that they can be optimized and continually improved on.
  • Augmented Reality and Mixed Reality (AR/MR): Connected workers use augmented and mixed reality technologies to improve and integrate their interactions with both physical and virtual surroundings. Through the use of digital work instructions, as well as augmented/mixed reality delivered through mobile and wearable devices, they are able to make faster and better decisions that optimize and improve a process or workflow that they participate in.

Augmentir’s Approach to the Connected Frontline Worker

Augmentir sits on the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

Augmented Work Instructions and digitized workflows help guide connected workers with visual aids while AI-driven insights provide contextual information that enable workers to perform at their best.

Remote Expert Guidance helps companies virtually connect and collaborate with their frontline workforce and their customers to provide remote guidance and support.

AI-based Operational Insights help companies identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation.”

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to continually optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of skills variability and the loss of tribal knowledge in the workforce. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to improve performance.

If you’d like to see how our AI-Powered Connected Worker platform improves safety, quality, and productivity across your workforce, schedule a demo with one of our product experts.

Gartner recently published their annual Hype Cycle for Manufacturing Operations Strategy and Innovation in Manufacturing Industries. These two Hype Cycles focus on the leading-edge technologies and methodologies that will significantly change how manufacturers innovate, deliver and support products and services. Augmentir was recognized as an important player in both Hype Cycle reports. Emerging Technologies in […]

Gartner recently published their annual Hype Cycle for Manufacturing Operations Strategy and Innovation in Manufacturing Industries. These two Hype Cycles focus on the leading-edge technologies and methodologies that will significantly change how manufacturers innovate, deliver and support products and services.

Augmentir was recognized as an important player in both Hype Cycle reports.

Emerging Technologies in Manufacturing

According to the report, “manufacturers that adopt the breakthrough opportunities presented as innovation profiles on this Hype Cycle will accelerate digitalization that increases the agility and ability to innovate products and business operations”.

These Hype Cycles, which reflect the convergence of the physical and virtual worlds, present several key mature and emerging technologies, including the following:

  • Connected Worker: Connected workers use digital technologies to improve and integrate their interactions with both physical and virtual surroundings. Through the use of digital work instructions, as well as augmented/mixed reality delivered through mobile/wearable devices, they are able to make faster and better decisions that optimize and improve a process or workflow that they participate in.
  • Immersive Experiences – Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. The report covers three kinds of immersive experiences: Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR).
  • Machine Learning: Machine learning is a technical discipline that identifies patterns and generates predictions based on analyzing large sets of data. According to Gartner’s research: “In manufacturing operations, machine learning (ML) can take advantage of available data and rely on the algorithms to identify patterns and correlations. It can also use them to predict outcomes, to find the best course(s) of action and to control processes. Typical use cases include eliminating unplanned downtime and stoppages, increasing yield optimization, reducing energy usage, improving product quality or stabilizing production processes.”

Augmentir is mentioned in the context of Connected Workers and Immersive Experiences in Manufacturing Operations as software and solution provider.

Augmentir’s Approach to Connected Workers and Immersive Experiences in Manufacturing

Augmentir sits and the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

Digital Work Instructions help guide connected workers with visual aids and augmented with AI-driven insights and contextual information enable workers to perform at their best.

Integrated Remote Expert assistance helps workers resolve issues faster using insights from Augmentir’s AI and information from the guided procedure.

Augmentir’s AI uses granular data  to identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation”.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are were dozens of opportunities to improve performance.

By now, most of us have heard the phrase – “the global pandemic has changed the way we work”. This has proven to be true for all industrial companies, where the changing workplace dynamics, increased safety, and supply chain disruptions have forced companies to rethink how they support their workforce and empower them to perform […]

AR-based remote assistance for frontline workers - start your digital journey with Augmentir

By now, most of us have heard the phrase – “the global pandemic has changed the way we work”. This has proven to be true for all industrial companies, where the changing workplace dynamics, increased safety, and supply chain disruptions have forced companies to rethink how they support their workforce and empower them to perform at high levels of safety, quality, and productivity.

Many companies have shifted and adopted remote work policies to offset travel limitations and ensure safety. Despite the shift to remote work, there are still nearly 2 billion frontline or field workers in the global workforce. Most of these frontline jobs cannot be done remotely, yet these workers still need access to digital information, guidance, training, and support, which was previously given in person.

Bringing Remote Assistance Tools to the Frontline

Unfortunately, typical office videoconferencing and virtual collaboration tools (e.g. Zoom, Microsoft Teams), which are designed for desktop-based knowledge workers, are not always appropriate for the workplace of the frontline – workers on factory floors or healthcare facilities, engineers on oil rigs, or field service technicians out in the field.

Industrial connected worker solutions that include augmented reality (AR) based remote assistance are uniquely suited for the operating environments that frontline workers participate in, and for the mobile and wearable devices they use. These industrial solutions combine live video streaming with augmented reality to create a powerful collaboration tool for frontline teams.

Value Across a Range of Industrial Use Cases

  • Remote Support for Direct or Dealer Field Technicians – Remote expert guidance and assistance tools now enable support for service teams, allowing technicians that are on-site to perform maintenance and repair procedures with improved safety, quality and efficiency with the help from virtual subject matter experts.
  • Remote Support for Customers –  For companies that are unable to offer on-site service technicians, remote assistance tools provide the ability for customers to be more self sufficient and provide an improved level of self-service. Remote assist tools allow customers to connect with subject matter experts to safely and efficiently perform routine service and maintenance routines.
  • Remote assistance tools are also being used for internal manufacturing collaboration, where many companies are using remote assistance tools to virtually connect frontline workers in factories with remote subject matter experts (SMEs) to improve troubleshooting and support workers during changeover, maintenance, or other operational processes.
  • Manufacturers are also extending remote assistance tools out to OEMs and 3rd party SMEs for remote equipment maintenance, virtual factory and site acceptance tests, and troubleshooting when they are unable to travel onsite.

A Digitally Connected Workforce

Now is the time to consider remote assistance and collaboration solutions, and to begin on your journey towards digitizing and connecting your frontline workforce. In addition, with integrated digital workflows, frontline workers can be guided to independently complete jobs safely and correctly. AI & Human Feedback capture tribal knowledge, while AI is used for continuous improvement efforts. These technologies are proving to be practical and effective ways to close skill gaps and transform training efforts – allowing your frontline workers to work safely and efficiently in today’s new normal.


Learn more about how connected worker solutions that include augmented reality (AR) based remote assistance are uniquely suited for the frontline workforce. Check out our comprehensive guide and checklist of requirements for evaluating and selecting augmented reality (AR) based industrial Remote Assistance solutions.

This post by Augmentir CEO Russ Fadel was originally published on Medium. I have been a fan of Marc Andreessen since the Netscape days — he has consistently predicted the macro changes in numerous marketscapes before virtually anyone else. Recently, I was watching Marc on Youtube “Why You Should Be Optimistic About the Future” and […]

Artificial Intelligene

This post by Augmentir CEO Russ Fadel was originally published on Medium.

I have been a fan of Marc Andreessen since the Netscape days — he has consistently predicted the macro changes in numerous marketscapes before virtually anyone else. Recently, I was watching Marc on Youtube “Why You Should Be Optimistic About the Future” and found his discussion on AI particularly enlightening, and in complete alignment with Augmentir’s journey. The entire video is worth watching, but the discussion on AI runs from between the 7:00 to 9:00 minute mark.

Some of the most insightful (paraphrased) quotes include:

  • “There is a more fundamental question — is AI a feature or an architecture?”
  • “A16z sees this with most start-up pitches now — ‘here are the 5 things my product does…and oh yeah, AI is always bullet number 6.’ Number 6 because it was the bullet they added after they created the deck”
  • “If AI is a feature, then this is correct, where every product will have AI sprinkled on it.”
  • “We (a16z) believe AI is an Architecture, and if it is, everything above this will need to be rewritten.”
  • “Ultimately, the goal of AI is to answer questions, even before the have been posed.”

At Augmentir we had to make a strategic decision at the time of company founding (late 2017), as to whether AI was going to be a feature of our connected worker platform or, whether it was going to be the architecture that our connected worker functionality ran on. We didn’t frame the decision as elegantly as Marc did, but we nevertheless asked, “will AI be a feature of our product or will it be pervasive?”

Even though no one in our space had chosen this path, we decided AI would be pervasive. We postulated that the purpose of a connected worker platform wasn’t to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. We knew that AI was uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, we predicted that there were dozens of opportunities to improve performance.

By building our connected worker platform on an AI architecture, all data is automatically pipelined, labelled, and cleansed, and is immediately available to start generating insights and recommendations. On this journey, the scope of what we can use AI for has even surprised us. Our initial thoughts were on personalizing instructions and content to make each frontline worker perform this current task safely and as quickly as they can, given their current proficiency. This immediately expanded to a generalized True Opportunity™ system that uses AI to stack rank where an organization has the largest capturable opportunities across all stakeholders. The range of this is astounding: which jobs have the largest monthly opportunity, which workers can benefit from targeted training, what is the optimum time to perform any given task, what inline training material can benefit from an update, what content/procedures would benefit the most from an update, etc.

The future looks even more fantastic — AI bots offer a realistic opportunity to capture tribal knowledge and convert it to a scalable corporate asset, and AI Diagnostic bots to make everyone an immediate expert.

This is only possible when you view AI as an architecture, not as a feature.