As the nature of work for manufacturing and services companies changes possibly forever, using emerging technologies such as Artificial Intelligence (AI), augmented reality (AR), and connected worker software to transform the enterprise has become more relevant than ever. For industrial companies, improving the safety and productivity of frontline workers in the COVID-19 era and beyond […]

As the nature of work for manufacturing and services companies changes possibly forever, using emerging technologies such as Artificial Intelligence (AI), augmented reality (AR), and connected worker software to transform the enterprise has become more relevant than ever.

For industrial companies, improving the safety and productivity of frontline workers in the COVID-19 era and beyond will be critical to business success and continuity. Tools like remote assistance, augmented work instructions, and knowledge sharing will be crucial to helping these companies transform their operation and continue to support their customers.

COVID-19 is forcing manufacturers to change how they operate
The industrial frontline workforce – skilled technicians, associates and engineers that are performing hands-on jobs in manufacturing, installation, and service – are facing unprecedented times. Already challenged by an aging and retiring workforce and increasing skills gap, a new set of challenges has emerged during this recent pandemic.

While manufacturers aren’t stopping operations because of COVID-19, they are running into major issues as a result of it, including:

  • The need for social distancing
  • Travel limitations and restrictions
  • Disruptions in workforce due to quarantining and shelter in place

You could look at these challenges as temporary, but one of the things that manufacturing and service companies have always relied on is face-to-face visits, in-person training, and “over the shoulder” problem solving to get the job done. However, we may never go back to the day where we can rely on face-to-face interactions to keep operations running.

While temporary measures like social distancing will eventually be lifted, some changes, like remote assistance and instant-skilling, will remain because they enable employees to perform their jobs independently, without requiring in-person assistance. This also cuts down on travel and allows workers to access information they need when and how they need it. Moving forward, industrial companies must focus on:

  • Enabling workers to perform jobs independently
  • Using remote assistance the standard, not face-to-face
  • Being able to instant skill any worker in the workforce to perform any job at any time

The Promise of Industrial AR/MR
Fortunately, manufacturers are turning to emerging digital technologies such as mobile and wearable devices and augmented and mixed reality (AR/MR) that are helping to connect a new generation of workers and allow organizations to proactively deliver the right level of support and guidance. There are several areas where these technologies are changing the manufacturing industry:

  • Training: instead of the classic classroom training, using AR to provide guided assistance to technicians as they work through a manufacturing process
  • Remote Expert Support: helps teach technicians new concepts, hands-on learning and training
  • Complex Assembly: using electronic work instructions and digital overlays to help guide workers through complex assembly procedures – ensuring quality and standardization
  • QA: use digital, AR-generated overlays to verify technicians work and help determine pass/fail on manufactured parts
  • Safety: providing not just safety training but guidance to newer workers as they are performing new tasks, operating new machines, etc.
  • Equipment Maintenance: used to help streamline factory equipment maintenance, repair, and service

But rates of adoptions for these types of technologies are low due to high cost, cumbersome tools, and lack of continuous improvement opportunities. This has resulted in many early adopters stuck in pilot purgatory, unable to scale beyond an initial proof-of-concept, especially during the recent pandemic.

Enter AI
By using artificial intelligence, manufacturers can improve the safety, quality, and productivity of their workforce both during the COVID-19 crisis and beyond. At Augmentir, our vision is to use AI to empower each worker to continually do their best work and provide each worker exactly what they need, when they need it, and how they need it to close skills gaps at the moment of need.

Our vision at Augmentir is to transform connected worker technology with AI …

So, what exactly can you do with an AI-powered connected worker platform?

  • Enable independent work – empower your workforce to perform jobs more independently through step-by-step, augmented work instructions
  • “Instant skill” your workforce – use AI-based personalized work instructions that are tailored to each workers proficiency level to help them complete jobs at peak quality and performance
  • On-demand virtual support – Remote expert assistance and collaboration tools that enable remote support and guidance, amplified with AI-bots that accumulate and make available tribal knowledge for real-time virtual assistance.
  • Delivers hands-free operations – Augmentir on industrial smart glasses
  • Use AI to uncover True Opportunity™ – AI Separates “True” from “Raw” Opportunity to help identify areas where the largest improvements can be made

AI is uniquely suited to identifying capturable opportunities from the massive, noisy data set generated by frontline workers, and because of that, it can serve as the foundation for a company’s continuous improvement initiatives.

Another area where AI adds value is in using AI for continuous improvement around training and skilling-up of the workforce.

For instance, AI can identify specific individuals that would benefit from targeted training on a specific tool or procedure as well as improvements to content and instructions directed at the author.

And if you think about it – the possibilities are endless. There are a variety of areas that can be targeted for continuous improvement including the ecosystem of content authors, frontline workers, subject matter experts, operations managers, quality specialists, etc. Along with that, you’ll find dozens of opportunities to continually address the skills gap, improve quality, and improve overall performance.

Judging by the plethora of images we see in the media of individuals wearing Augmented Reality (AR) sets in all aspects of their work-life, one could assume that Enterprise AR has been widely adopted amongst many companies. However, the reality of Enterprise AR is that most industrial companies have had difficulty creating sustainable value when […]

Enterprise AR

Judging by the plethora of images we see in the media of individuals wearing Augmented Reality (AR) sets in all aspects of their work-life, one could assume that Enterprise AR has been widely adopted amongst many companies. However, the reality of Enterprise AR is that most industrial companies have had difficulty creating sustainable value when attempting to implement the technology. One reason being is that most early AR vendors were overly focused on delivering information and digital work instructions to industrial workers via wearable devices, which has not produced the expected efficiency benefits.

Since many of the early adopters of AR solutions failed to justify cost and complexity compared to the minimal gains in efficiency, they got stuck in “pilot purgatory” where they weren’t able to successfully emerge from an initial proof-of-concept initiative.

First Wave of AR Solutions Failed to Find Widespread Adoption

But why is it, that a technology that promised to generate overall success and savings in resources, costs and time has failed to deliver? If we take a step back and examine the first wave of enterprise AR, we can pinpoint some of the reasons why Enterprise AR alone has been unable to provide the value that manufacturers are looking for causing a lack of widespread adoption:

  • Early AR solutions are characterized by high costs and long implementation cycles, which made them accessible only to the largest manufacturing enterprises that have high innovation budgets and significant resources.
  • Solutions were not tailored to small and mid-market manufacturing companies. 
  • Poorly implemented software solutions and early hardware that didn’t perform to the comfort, safety, and reliability expected by the users
  • Existing solutions only deliver information to frontline workers and with that have not been able to provide value beyond the initial one-time gain in productivity. 

Most importantly though, once the solutions were finally deployed, it became obvious that the software failed to provide value beyond the initial one-time gain in productivity, which was  frequently seen in use-cases where hands-free operation was the real source of the benefits derived.

Expanding the Value Proposition of Enterprise AR by Focusing on the Connected Worker

But just because the first wave of AR implementations have mostly failed, doesn’t mean that the technology doesn’t have the potential to generate great efficiency gains for industrial companies. We simply need to take a new approach. 

What’s been overlooked so far is the potential derived from collecting data about the work from this newfound connectivity to the worker. 

If you could envision workers as a new source of information to improve your processes, and if you used AI to analyze that data to create insights into every aspect of their productivity and training, you could benefit the entire organization.

 

 

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.

August 16, 2021

Augmentir was once again recognized by Gartner as a key vendor for Connected Factory Worker technology. In Gartner’s latest Hype Cycle for Consumer Goods, Augmentir was highlighted as an important software vendor for Connected Factory Workers and Immersive Experience in Manufacturing. This marks the seventh time in 2021 that Augmentir has been recognized by Gartner for leadership in emerging technologies for manufacturing.

Digital Technology – A Key Priority for Consumer Goods CEOs

This Gartner report identifies technology as a key priority for consumer goods CEOs, and states that “79% of Consumer Goods CEOs plan to increase their investment in digital capabilities.”

According to the hype cycle report, “Investments in long-delayed digital initiatives came to the forefront due to the pandemic.” Digital transformation initiatives were put into focus and brought to the forefront due to the impact of the pandemic, increased remote working, and supply chain disruptions, and many leading consumer goods manufacturers were “jolted to invest in long-delayed digital plans.”

Gartner highlighted Connected Factory Workers and Immersive Experience in Manufacturing as offering transformational benefits for consumer goods manufacturers, and mentions Augmentir as a key software vendor in each category.

  • Connected Factory Worker: Connected factory workers use various digital tools to improve the safety, quality, and productivity of the jobs they perform. In consumer goods manufacturing, this may include enabling digitization of maintenance procedures, changeover procedures, EHS lockout/tagout procedures, quality checklists, and plant walkabouts via digitized step by step instructions or guided workflows. 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.
  • Immersive Experience in 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. Gartner sees using immersive experiences as important for “accelerating problem solving and broadening continuous improvement dialogue through virtual or remote access.” This approach is being use for quality and maintenance tasks, remotely connecting with employees that are not able to be on-site, or wearables for safety management.

These hype cycles and innovation profiles are provided by Gartner to help organizations decide which new innovations and technology to adopt and when, as well as what value they can provide to their manufacturing operations.

Accelerating Your Digital Journey with Augmentir

Many leading consumer goods manufacturers, including Colgate-Palmolive, have adopted Augmentir to connect their frontline workforce and accelerate their digitization efforts. Augmentir’s AI-based connected worker platform offers connected worker technology with augmented work instructions. Equipped with digital devices that could include tablets, mobile phones, or even AR-enabled industrial smart glasses, frontline workers are able to receive fully augmented, guided instructions on any device to improve productivity, quality and allow workers to perform their jobs more independently. These help guide workers with visual aids, AR/MR experiences, and contextual information.

For example, since the selection of Augmentir in November 2020, Colgate has already seen tremendous progress towards their digital transformation goals and has digitized over 1000 workflows across 10 global plants, resulting in significant value and productivity improvements in maintenance tasks, line changeovers, and shift changes.

Optimizing Worker Performance with AI

Gartner further recommends that consumer goods manufacturers: “Make your focus the creation of a “data-driven” culture in manufacturing operations.” This includes not only integrating factory workforces with their virtual and physical surroundings, but also driving a culture change towards data-driven performance optimization and workforce development.

Artificial Intelligence (AI) is a key foundation for data-driven transformation within the manufacturing workforce.

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. 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.

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. AI 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.

Interested in learning more?

If you’d like to learn more about Augmentir and 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.

August 13, 2021

 

Augmentir was recently recognized by Gartner in four separate Hype Cycle reports that cover technology innovation in manufacturing. These four reports include:

  • Hype Cycle for Manufacturing Digital Transformation and Innovation, 2021
  • Hype Cycle for Manufacturing Operations Strategy, 2021
  • Hype Cycle for Manufacturing Digital Optimization and Modernization, 2021
  • Hype Cycle for Frontline Worker Technologies, 2021

In these reports, Gartner highlights Augmentir as a key software vendor in the Connected Factory Worker and Immersive Experiences in Manufacturing Operations categories.

  • 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.
  • Immersive Experiences in 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. Gartner sees using immersive experiences for quality and maintenance tasks, remotely connecting and collaborating with employees that are not able to be on-site, or wearables for safety management.

These hype cycles and innovation profiles are provided by Gartner to help organizations decide which new innovations and technology to adopt, as well as what value they can provide to their manufacturing operations.

Digital Transformation in Manufacturing

According to Gartner, the manufacturing industry is being transformed by new business models and strategic, innovative technologies that fit within Industrie 4.0. Manufacturers can capitalize on advancements made in artificial intelligence (AI), visualization, collaboration, and greater connectivity across enterprises.

This was the focus in Gartner’s recently published reports, which revealed opportunities for manufacturing leaders to gain business advantages through concepts and technologies that improve productivity and decision making. Besides adding value to manufacturing businesses, they increase windows of competitive advantage.

The Connected Worker – A first step for Digital Transformation in Manufacturing

Manufacturers are beginning to recognize just how integral frontline workers are to their company’s digital fabric and that overlooking these workers has caused their digital transformation efforts to fall short of their objectives.

These same industry leaders are now investing in an integrated approach – empowering their frontline teams with connected worker solutions that utilize technology such as mobile and wearable devices, augmented and mixed reality (AR/MR), remote collaboration tools, and artificial intelligence (AI). Connected worker solutions that bring together these technologies are helping to connect a new class of workers and are allowing organizations to proactively and continually deliver the right level of training, support, guidance, and improvement.

Optimizing Worker Performance with AI

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. 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.

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, and creates a foundation for data-driven improvements to operational performance and continuous improvement.

“AI will play a critical role in the long-term success of connected factory workers. As more information is curated and made available, algorithms must be continually trained in alignment with continuous improvement initiatives, creating the potential for enhanced root cause analysis.”

Gartner

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 using AI. 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 workforce development opportunities. This will allow you to answer questions such as:

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

Augmentir’s AI 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 operational metrics.

Interested in learning more?

If you’d like to learn more about Augmentir and 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.

 

You may have noticed that our website and brand look a little different. Augmentir has a new look, but under the hood, its the same powerful AI that is helping to transform the industrial workforce of the future.

You may have noticed that our website and brand look a little different. Well, that’s because behind the scenes for the past few months, we’ve been under construction (no pun intended).

Augmentir was founded in 2017 with the vision to use AI to empower the industrial frontline workforce to perform at their best. This was a continuation of our rich history – our founding team has been at the forefront of three of the most important of these software technology revolutions in manufacturing over the past three decades – Wonderware Software in 1987, Lighthammer in 1997, and ThingWorx in 2008.

A lot has changed since then. The world we live in today is not the same as it was 4 years ago. And in the last two years, the COVID-19 pandemic has altered the stability of the workforce and drastically magnified some of the industry’s top workforce challenges, which stem from the unprecedented levels of dynamism in the areas of skills diversity, reduced tenure, and increased churn from the “Great Resignation”. Unlike the stable and predictable workforce of the recent past, today companies have to live in the new normal where workers are hard to find, hard to engage, and hard to keep.

These top challenges of today have only reinforced the need for an AI-powered, data-driven approach to empowering frontline workers.

This data-driven era we’re entering into is one of continuous learning and development with tools like remote collaboration and digitized work processes truly integrating frontline workers into the fabric of the business from a collaboration standpoint whereas they may have been overlooked before.

Augmentir’s AI-powered connected worker platform provides the tools to not only survive in this new normal but to thrive.

You can’t build a truly modern, connected workforce without AI

The term “connected worker” has become a recent buzzword in the manufacturing world, and is now considered a tool that the new generation of workers expect to work with. But true connected work means using AI to allow frontline workers to have access to internal and external resources that are appropriate for when and how they need them.

Augmentir isn’t your typical connected worker platform. Our platform was built from the ground up on an AI foundation. AI algorithms are ideal for analyzing large amounts of data collected from a connected workforce. AI can detect patterns, find outliers, cleanse data and find correlations and patterns that can be used to identify opportunities for improvement and create a data-driven environment that supports continuous learning and performance support. Our connected worker platform utilizes AI to help train, guide, and support today’s frontline workers in a dynamic workforce by combining digital work instructions, remote collaboration, continuous development and advanced on-the-job training capabilities.

This approach aligns perfectly with the dynamic, changing nature of today’s workforce, and is ideally suited to achieve and sustain effective on-the-job performance.

As the world’s only AI-powered connected worker platform, we decided it was time to refresh our brand identity to accentuate our strongest feature and the thing that makes Augmentir unique – AI. We’re still the same AI-first connected worker platform that you know – just with a new look.

Augmentir, a data-driven, AI-powered Connected Worker solution ensures that your frontline workers can go the extra mile every day by providing training, guidance, and support through the combination of digital work instructions, remote collaboration, and advanced on-the-job training.

In 2009, the Extra Mile America Foundation, a foundation promoting action and empowering positive change, first celebrated the “Extra Mile Day”.  Fast forward to 2014 and 527 US cities declared November 1st as the official “Extra Mile Day”. This day is designated to living life to your full potential, having a positive influence, and always striving to make the world a better place.

At Augmentir, we believe in positive change, living to your full potential, and going the extra mile every day. In 2017, our founders decided to continue their journey of creating some of the most important software technology revolutions in manufacturing (Wonderware (1987), Lighthammer (1997), and ThingWorx (2008) by focusing on the most important asset, the frontline workers.

We recognize that today’s industrial workforce is different, and the old way of supporting workers just doesn’t work anymore. The static “one size fits all” approach used in the past, no longer applies to this generation of workers.

Augmentir, a data-driven, AI-powered Connected Worker solution ensures that your frontline workers can go the extra mile every day by providing training, guidance, and support through the combination of digital work instructions, remote collaboration, and advanced on-the-job training.  

As your 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. Artificial Intelligence lays a data-driven foundation for continuous improvement in the areas of performance support, training, and workforce development, setting the stage to address the needs of today’s constantly changing workforce.

When it comes to our frontline workers, let’s enable them to go the extra mile, not just on November 1st, but every day, by empowering them with the only AI-powered Connected Worker solution.

The impact of COVID-19 has placed pressure on manufacturing operations leaders to maintain business operations and business continuity. Here are four ways that connected worker technology is shaping the future industrial workforce.

Four Ways Digital Technology is Helping Frontline Workers Operate in Today’s New Normal

The global pandemic has certainly changed the way we work – and for many manufacturers, the change will be permanent.

The impact of COVID-19, and subsequent changes in how factories are located, staffed, managed and digitized, and how customers are supported, are placing pressure on manufacturing operations leaders. Manufacturing companies of every size are now turning to digital and connected worker technology as a way to maintain business operations and business continuity. Technologies such as artificial intelligence (AI) and augmented reality (AR) based remote collaboration are now central to the corporate innovation portfolio of any business leader and crucial to boosting productivity at a time when enterprises most need it.

Here are four ways that connected worker technology is shaping the future industrial workforce and helping frontline workers operate at peak levels of safety, quality, and productivity during these times.

1. Provide Remote Assistance

Travel limitations and restrictions have forced companies to re-think how they support their staff and customers. As a result of COVID-19, manufacturers have initiated policies that encourage remote working, eliminate non-essential travel and instruct employees who are sick or under quarantine to stay home. This directly impacts the progression of operations that typically take place when multiple workers collaborate onsite.

AR-based virtual collaboration tools are providing business continuity for companies that can no longer rely on face-to-face interactions.

With on-demand remote expert functionality, onsite workers can quickly pull in an offsite colleague when their expertise is required. Many manufacturers are also extending this out to support virtual collaboration with 3rd party dealers and suppliers, customers, and even field service teams for those companies that provide equipment service and support. Digital work procedures, videos, realtime data and more are readily available and allow remote subject matter experts to intelligently guide and help workers on the job.

2. Reimagine Training

One of the challenges that has emerged during this pandemic has been workforce variability. Flexible staffing is becoming more the norm, and training/re-skilling is more important now than ever.

Traditional methods of classroom training have now become impractical if not impossible, and many companies are looking towards connected worker technology to help shorten training times and accelerate onboarding for new technicians. Use augmented reality (AR), visual aids, and contextual information to guide workers through complex tasks and deliver AR-based training experiences.

For example, Bio-Chem Fluidics, a mid-sized manufacturing company, was able to reduce new employee training time by over 80% – from three months down to two weeks. The use of visual aids and short training videos within digitized work procedures allowed their operation to onboard technicians at a faster rate and reduce downtime during learning periods, resulting in improved productivity.

3. Improve Quality and Productivity through Augmented Work Instructions

Another area where connected worker technology helps is through augmented work instructions. Equipped with digital devices that could include tablets, mobile phones, or even AR-enabled industrial smart glasses, frontline workers are able to receive fully augmented, guided instructions on any device to improve productivity, quality and allow workers to perform their jobs more independently. These help guide workers with visual aids, AR/MR experiences, and contextual information.

Digital work instructions enable manufacturing workers, customers, dealers, and field service technicians to complete assembly, installation, maintenance, or repair procedures at 100% quality without requiring face-to-face support. Artificial intelligence and machine learning (AI/ML) can be used to amplify the value that digital work instructions bring to the connected worker. AI is used to personalize the instructions to each worker’s proficiency level, which helps intelligently close the skills gap and enable workers to perform at their best.

4. Uncover Continuous Improvement Opportunities

It’s critical for manufacturers to monitor processes and track progress during this time so that they can make quick adjustments to ensure overall optimization. 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.

Incorporating AI into a connected worker strategy enables true organizational optimization using the rich stream of activity data to recommend improvement actions to frontline workers, continuous improvement specialists, trainers, manufacturing engineers, and operation and service managers.

  • AI-based connected worker platforms can use granular data to identify the largest opportunities across the frontline workforce
  • For example, Augmentir’s AI-powered connected worker platform looks through all job data and uses AI to cleanse the data set and recognize the largest improvement opportunities for your company in productivity, training, quality, and delivers them to your team automatically through insights in the system
  • In doing that, the system learns a lot about each worker, and can dynamically match the instructions to each worker’s proficiency and capability, intelligently closing the skills gap
  • Finally, AI bots allow you to accumulate tribal knowledge (that your subject matter experts know) and convert it into a scalable, digital corporate asset

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.


Now is the time to consider these and start digitizing and connecting your frontline workforce. 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. Book a personalized demo to learn more.