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Paperless Manufacturing: Your Guide to Transitioning to a Paperless Factory

Learn how to digitize your operations and build a paperless factory in this paperless manufacturing guide from Augmentir.

Manually managing and tracking production in manufacturing has become a thing of the past. That’s because manufacturers are adopting a new digital approach: paperless manufacturing.

Paperless manufacturing uses software to manage shop floor execution, digitize work instructions, execute workflows, automate record-keeping and scheduling, and communicate with shop floor employees. More recently, this approach also digitizes skills tracking and performance assessments for shop floor workers to help optimize workforce onboarding, training, and ongoing management. This technology is made up of cloud-based software, mobile and wearable technology, artificial intelligence, machine learning algorithms, and advanced analytics.

More recently, your journey to paperless manufacturing is being accelerated through the availability of generative AI assistants and supporting import tools that can streamline the conversion of existing content into interactive, mobile-ready content for your frontline teams.

paperless manufacturing and digital factory

Paperless manufacturing software uses interactive screens, dashboards, data collection, sensors, and reporting filters to show real-time insights into your factory operations. If you want to learn more about paperless manufacturing processes, explore this guide to learn about the following:

What is a paperless factory?

A paperless factory uses AI-powered software to manage production, keep track of records, and optimize jobs being executed on the shop floor. Paperless manufacturing is intended to replace written record-keeping as well as paper-based work instructions, checklists, and SOPs, and keep track of records digitally.

For example, in most manufacturing operations, everything from quality inspections to operator rounds and planned and autonomous maintenance is done on a regular basis to make sure factory equipment is operating properly and quality and safety standards are met. In most manufacturing plants, these activities are done manually with paper-based instructions, checklists, or forms.

Operators and shop floor workers in paperless factories use software to execute work procedures and see production tasks in ordered sequences, which enables them to implement tasks accordingly. Workers are able to view operating procedures, or digital work instructions, using mobile devices (wearables, tablets, etc.) in real-time.

benefits of digital work instructions

Furthermore, paperless manufacturing incorporates the digitization of shop floor training, skills tracking, certifications, and assessments.  This digital approach uses skills management software helps optimize HR-based processes that were previously managed via paper or spreadsheets, and includes the ability to:

  • Create, track, and manage employee skills
  • Instantly visualize the skills gaps in your team
  • Schedule or assign jobs based on worker skill level and proficiency
  • Close skill gaps with continuous learning
  • Make data-driven drive operational decisions

digital skills management in a paperless factory

What are the benefits of going paperless in manufacturing?

There are a number of reasons for factories to go paperless, from cost-effectiveness to increased productivity and sustainability. A paperless system can revolutionize production processes, workforce management, and business operations.

Here are the top benefits of going paperless:

  1. Accelerate employee onboarding: By digitizing onboarding and moving training into the flow of work, manufacturers can reduce new hire onboarding time by 82%.
  2. Increase productivity: Digitizing manufacturing operations means no more manual, paper-based data collection or record-keeping. Workers have more time to run their equipment, execute shop floor tasks, and find solutions to problems.
  3. Boost data accuracy: People are prone to making mistakes, but digital data capture and validation can help offset human error and improve accuracy.
  4. Improved workforce management: Digital skills tracking and AI-based workforce analytics can help optimize production operations and maximize worker output.
  5. Manage real-time operations: Human-machine interface systems eliminate the need for paper, files, and job tickets. This means that workers can analyze inventory and other data in real-time.
  6. Save money: Although going paperless means that the cost of paper is eliminated, the savings extend beyond that. With greater productivity, operations in real-time, and improved production optimization, costs can be reduced in many areas.

How do you go paperless in manufacturing?

Going paperless starts with digitizing activities across the factory floor to increase productivity, and extending that value through a digital connection between the shop floor and enterprise manufacturing systems. We lay out below the four basic steps for how to go paperless in manufacturing:

Step 1: Digitize your existing content with Gen AI and Connected Worker technology.

Paperless manufacturing starts with the use of modern, digital tools that can quickly and easily digitize and convert your existing paper-based content. Tools like Augmentir’s Augie™, a generative AI suite of technologies, helps you import and convert existing content regardless of format. Once converted, Connected Worker solutions that incorporate enhanced mobile capabilities and combine training and skills tracking with connected worker technology and on-the-job digital guidance can deliver significant additional value. A key requirement to start is to identify high-value use cases that can benefit from digitization, such as quality control or inspection procedures, lockout tagout procedures, safety reporting, layered process audits, or autonomous maintenance procedures.

Pro Tip

You can now import existing PDF, Word, or Excel documents (just like the PDF above) directly into Augmentir create digital, interactive work procedures and checklists using Augie™, a Generative AI content creation tool from Augmentir. Learn more about Augie – your industrial Generative AI Assistant.

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Step 2: Augment your workers with AI and Connected Worker technology.

AI-based connected worker solutions can help both digitize work instructions and deliver that guidance in a way that is personalized to the individual worker and their performance. AI Bots that leverage generative AI and GPT-like AI models can assist workers with language translation, feedback, on-demand answers, access to knowledge through natural language, and provide a comprehensive digital performance support tool.

As workers become more connected, companies have access to a rich source of job activity, execution, and tribal data, and with proper AI tools can gain insights into areas where the largest improvement opportunities exist.

Step 3: Set up IoT sensors for machine health monitoring.

The industrial Internet of Things (IoT) uses sensors to boost manufacturing processes. IoT sensors are connected through the web using wireless or 4G/5G networks to transmit data right from the shop floor. The use of machine health monitoring tools along with connected worker technology can provide a comprehensive shop floor solution.

Step 4: Connect your frontline to your enterprise.

Digitally connected frontline operations solutions not only enable industrial companies to digitize work instructions, checklists, and SOPs, but also allow them to create digital workflows and integrations that fully incorporate the frontline workers into the digital thread of their business.

The digital thread represents a connected data flow across a manufacturing enterprise – including people, systems, and machines. By incorporating the activities and data from these previously disconnected workers, business processes are accelerated, and this new source of data provides newfound opportunities for innovation and improvement.

 

Augmentir provides a unique Connected Worker solution that uses AI to help manufacturing companies intelligently onboard, train, guide, and support frontline workers so each worker can contribute at their individual best, helping achieve production goals in today’s era of workforce disruption.

Our solution is a SaaS-based suite of software tools that helps customers digitize and optimize all frontline processes including Autonomous and Preventive Maintenance, Quality, Safety, and Assembly.

paperless factory

 

Transform how your company runs its frontline operations. Request a live demo today!

 

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Darwin in Manufacturing: The Evolution of Connected Worker Software

The evolution of connected worker software, how industrial transformation leaders are meeting modern challenges with a generation of tools.

Beginning in mid-2022 and now increasing in 2023, there is a significant trend of companies moving away from earlier investments in connected worker software tools to Augmentir’s Connected Worker Platform.

Early adopters and pioneers of V1.0 connected worker tools and technology deserve respect for leading the charge into Industry 4.0 and the concept of a connected workforce. However, we also admire those leaders who realized there are more transformations and improvements to make – such as value in the data from your connected workers and incorporating AI-driven solutions to make sense of that data. These innovative leaders dared to adapt, continue innovating, and replace the connected worker software systems that were not solving enough of the challenges faced by the modern workplace.

darwin in manufacturing

By combining AI-powered software and smart connected worker solutions, manufacturers are able to get next-level results and improve frontline worker productivity, engagement, and safety.

Following in the Footsteps of Industrial Transformation Leaders

According to LNS Research (a leading analyst firm in defining the connected worker space), the business case for connected worker software continues to grow, and solutions that incorporate emerging technologies like AI are leading the way. In fact, LNS states that Industrial Transformation Leaders (IX Leaders) are two times more likely to use AI-enabled advanced analytics capabilities. These leading manufacturers are supporting their frontline operations with AI-based technology for training and skills development, real-time worker performance support, and providing dynamic and personalized content.

Here at Augmentir, we have seen quite a few companies that fall into the category of the courageous, understanding that they needed to continue adapting for their business to thrive.

We have been honored to be recently chosen by several global leaders as their connected worker V2.0 solution, including:

  • one of the largest paint manufacturers in the world
  • one of the largest agricultural companies in the world
  • one of the largest food manufacturers in the world
  • one of the largest manufacturers of batteries in the world

All of these world leaders recognized that their current connected worker software solutions had become insufficient and that they needed a smarter, more complete solution to help them overcome their frontline workforce challenges and current business obstacles.

Here are three key takeaways you can use from these companies that went back to select a new connected worker solution:

  1. Don’t be afraid to make a change that will have a positive impact on your business, even if you are the one who made the initial decision.
  2. If you have experience choosing early connected worker tools, build on that experience. You are ideally situated to identify gaps in processes and improvement needs; and know best which tools to use to address the overall operational needs of the business.
  3. Use your prior experiences to build processes for re-evaluating connected worker solutions from the perspective of already experiencing one fully deployed.

In one example, a global manufacturer invested in an early connected work tool and had been using the tech for nearly 4 years. However, once they decided they needed a new solution, they then went back to evaluate the market for the right tool. They made a list of selection criteria they knew they wanted from this new solution, from that they looked at approximately fifteen (15) connected worker vendors, and from there they narrowed down to the three (3) they ended up testing. They even included having a couple of integrations in their POC as they knew that an integration into their ERP, Quality Management, and Asset Management systems was something they needed, and they had poor experiences previously with vendors overcommitting.

Pro Tip

We suggest anyone evaluating a technology use this same approach – include integrations as part of your Proof-of-Concept to ensure that you are not getting hypothetical answers to hypothetical questions, and that the solution meets your true business needs.

What our customers tell us

Here is what customers are telling us they are looking for in a V2.0 connected worker solution, and the reasons they changed to Augmentir’s Connected Worker Platform:

  1. Ease of Use: Augmentir prioritizes a user-friendly experience. Its intuitive interface and workflow builder makes it easy for employees to adopt and use the tool effectively. This can result in faster onboarding and increased overall productivity.
  2. Augmented, Personalized Work Instructions: Augmentir provides a workflow and content creation environment that allows you to digitize standardized work instructions, and adjust content and in-line training to suit the needs of individual workers.  This optimizes performance and speeds up onboarding time for new employees.
  3. Upskilling and Reskilling: Augmentir’s ability to deliver formal skills and learning in the flow of work means a worker can stay current in their needs, continue to grow in their role, and build a structured career path within their company. This approach appears to be driving increased retention and job satisfaction.
  4. Workforce Optimization: Augmentir’s ability to assess in real time who is available to work on any given day and then balance the skill level best suited for a task with the available workforce offers optimal productivity based upon what you have to work with on any given day.
  5. Digitizing Complex Workflows: Most solutions on the market allow you to digitize simple workflows. With Augmentir, manufacturers can build complex workflows that satisfy use cases that are unique to their business, and extend those workflows to support greater integration into their business processes.
  6. Industrial Collaboration: Augmentir enables remote collaboration among workers and experts. This functionality is particularly useful when experts are not physically present at the job site. Remote experts can guide workers through AR annotations and audio/video communication, fostering knowledge sharing and faster problem resolution.
  7. Continuous Improvement: Augmentir focuses on driving continuous improvement within organizations. It leverages AI to analyze data from worker interactions and identifies areas for improvement. This data-driven approach allows companies to optimize processes, increase productivity, and reduce costs over time.
  8. Integration and Scalability: Augmentir offers integration capabilities with existing enterprise systems, such as enterprise resource planning (ERP) or manufacturing execution systems (MES). This ensures seamless data exchange and workflow integration. Additionally, Augmentir is designed to scale with the organization’s needs, accommodating both small teams and large enterprises.
  9. Analytics and Insights: Augmentir provides robust analytics and reporting features driven by AI-powered solutions and focuses on AI as a core component of Connected Worker V2.0. This allows managers and supervisors to gain valuable insights into worker performance, task completion times, and areas that may require additional training or support. Data-driven analytics can aid in identifying bottlenecks, optimizing processes, and making informed business decisions.
  10. Customization and Flexibility: Augmentir allows organizations to customize their work instructions and workflows to fit their specific needs. This flexibility enables the tool to adapt to different industries, processes, and work environments.

 

If you are interested in learning for yourself why companies are choosing to change to Augmentir over their current connected worker solution – reach out to book a demo.

 

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New LNS Research Report Highlights Augmentir as Leading Connected Frontline Workforce Solution

LNS Research reviewed dozens of Connected Frontline Worker (CFW) vendors, ranking Augmentir as the leading CFW solution innovator.

Efforts to enable the frontline industrial workforce through connected worker and other digital technologies have become increasingly common over the past several years, recently, LNS Research found that over half of industrial organizations globally have undertaken Connected Frontline Workforce (CFW) initiatives. CFW has become a strategic part of Industrial Transformation (IX) initiatives as manufacturers seek to solve critical labor shortages, skills gaps, and retention issues in frontline operations.

CFW-enabling technologies hold the promise of helping companies meet their frontline workforce challenges while optimizing operational performance across safety, quality, and productivity dimensions. However, industrial business and technology leaders must navigate the uncertain waters of the relatively immature and highly fragmented CFW Applications market to capture the opportunity fully.

LNS Research Connected Worker Solution Selection Matrix

From their extensive analysis, LNS Research has created the CFW Applications Solution Selection Matrix™ (SSM) – a comprehensive guide intended to help man­ufacturers better understand, evaluate, and even select from a shortlist of Connected Frontline Worker technology vendors.

LNS Research reviewed dozens of vendors within the CFW ecosystem and categorized them based on various key criteria, including product capabilities, market potential, and company presence.  Augmentir was named by LNS Research as a leading CFW solution innovator in their SSM.

Augmentir positioned as a leading front runner and innovator

According to LNS Research, Augmentir is well-positioned for future growth, with a trajectory that gives it the potential to be among a small set of likely market leaders in the Connected Frontline Worker (CFW) Applications space. This assessment is based partly on the strength of differentiated capabilities of its AI-enabled solution suite to enable proactive, data-driven performance improvement, personalization of work execution support and training, and the integration of individual and team skills and qualifications to guide workforce development and shift-specific work assignment.

Other key factors impacting Augmentir’s potential are the strength and proven experience of the leadership and management teams, strong momentum in the market, a record of successful product innovation, ecosystem partnerships, and likely continued access to adequate funding and resources to support the expansion of go-to-market initiatives. Augmentir’s track record indicates a strong likelihood of continued growth and the potential over time to be among a select group of market leaders in the CFW Applications space.

Read the full report here.

Augmentir’s results from the field

Manufacturers are using connected frontline worker solutions to empower their employees with real-time, actionable data; driving better decision-making and improving safety, training, and more.

Leading manufacturers that deployed Augmentir’s AI-driven, smart, connected worker solution have seen impressive results, such as:

  • 75% reduction in new hire training/onboarding time
  • 27% reduction in machine downtime using Autonomous Maintenance
  • 32% improvement in worker productivity

In addition to the above results, our customers have seen quality, safety, and productivity increases across all operations, as well as increases in employee retention and reductions in operating costs associated with employee churn.

 

If you are interested in learning why LNS Research ranked Augmentir as the leading connected worker solution in the market, reach out to us and request a live demo.

 

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Why Integration is Key for Connected Worker Platform Success

Learn why integrations are key to the success of connected worker platforms, what systems should be integrated, and the benefits of a fully integrated connected worker solution.

Unlocking the potential of connected worker platforms becomes a game-changer when integrated with enterprise systems, giving them a live, closed loop connection to frontline processes and operations. This creates a truly connected enterprise that links diverse systems with the frontline workforce, paving the way for heightened efficiency, productivity, and safety.

connected worker platform integrations

However, a majority of connected worker platforms overlook the fact that connectivity doesn’t end with simply linking workers to their platform. They fail to recognize the immense benefits that live connections to enterprise systems of record bring to frontline business processes and activities.

Manufacturing success hinges on the seamless integration of connected worker platforms with legacy and enterprise systems to provide adequate support to frontline workers, giving them access to data and knowledge that can boost their efficiency and keep them safe.

Read below for more information on connected worker platform integrations; what they entail, which enterprise systems are essential for integration, and how AI-powered technology improves impact on frontline manufacturing activities.

Connected Worker Integrations: More than just an API

In manufacturing, it is critical that connected worker platforms are integrated with various enterprise systems to streamline operations and ensure that workers have the data and information they need at their fingertips. As critical as this is, most connected worker vendors believe that providing an open API is sufficient, and even boast that they integrate to enterprise systems, when in fact they place this burden on their customers.

Having an API is not enough

There are several not-so-obvious aspects to connected worker platform integrations, including:

  • Connected worker integrations with enterprise applications, even streamlined ones, have essential requirements such as logic that needs to be written, customized, run, and supported. Most, if not all, of this logic is initiated by the connected worker platform, propagating events and data from shop floor processes to the associated enterprise system of record.
  • Connected worker platforms with just an “API” require all of this functionality to be developed, hosted, and supported externally. The responsibility is then on the customer to build a custom product and select and support the hosting environment. This effort (building, hosting, and support) can cost between $50K and $150K to build and test, and then another $50K – $150K annually for 5 x 9 support. And, the customer is responsible for maintaining an SLA acceptable to the business (99.9% being typical).
Pro Tip

It’s critical that connected worker platforms include “platform-as-a-service” (Paas) capabilities that provide the ability to write, support, and execute both standard and custom integrations. These can be done by the platform provider, the customer, as well as third-party system vendors and system integrators. Providing PaaS capabilities puts the responsibility on the vendor for operating the integration service, and maintaining SLAs, geo-redundancy, disaster recovery, and privacy and security. In short, just saying “we have an API” places an undue burden on customers, and prevents building the sustainable connected enterprise necessary to remain competitive in today’s global economy.

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Which Enterprise Systems Should You Integrate

In any industrial environment, connected worker platforms should be integrated with various systems to support operations, help with cooperation and communication, and gain valuable insights into frontline manufacturing processes. These integrations streamline activities, improve efficiency, and provide a unified digital environment that empowers frontline workers.

This concept of a connected enterprise spans several initiatives within an organization: assets and equipment, the products being manufactured, the end customer, operations, workers, and the entire supply chain, and is highlighted below using the Industrial Transformation (IX) Reference Architecture from LNS Research.

connected worker enterprise system integration

Examples of enterprise management systems of record that are key to connected worker success and should be integrated are:

  • ERP (Enterprise Resource Planning)
  • EAM (Enterprise Asset Management)
  • HCM (Human Capital Management)
  • HR, Training, and LMS (Learning Management System)
  • QMS (Quality Management Systems)
  • MES (Manufacturing Execution System)
  • CMMS (Computerized Maintenance Management System)
  • Supply Chain Management

Enterprise systems such as ETQ, Workday, UKG, SAP, Oracle, IBM Maximo, Microsoft Dynamics 365, Salesforce, and ADP provide transformational value for a manufacturing company if they can be connected into frontline operations. By integrating connected worker platforms with these systems, manufacturers can create an interconnected environment that supports frontline workers and drives operational excellence. Ultimately, integration enhances collaboration, workforce visibility, decision-making processes, and overall operational efficiency, making connected worker platforms an indispensable component for manufacturing organizations.

Improving Integration Success Through Augmentir

At Augmentir, we see integrations differently than other connected worker platforms. Our rich history of building integrations in the manufacturing space enabled us to design a connected worker solution that easily, bi-directionally, and securely integrates the enterprise systems of record to create closed loop processes involving the frontline workforce.

Augmentir has internal PaaS services to run connectors that we build and support for popular enterprise applications like SAP, Salesforce, ETQ, Oracle, IBM Maximo, and more. Additionally, our PaaS enables custom integrations to be built and executed for custom, and niche applications. All third-party integrations running in the Augmentir connected worker platform carry the same SLA and geo-redundant support. By facilitating connected worker platform integrations with enterprise systems in this way, we have provided leading manufacturers with increased workforce visibility, improved productivity, digitized and standardized processes, enhanced training and collaboration, and more.

augmentir enterprise integration

Furthermore, because we are the leading AI-powered connected worker provider, we have brought innovative generative AI technologies such as AI-driven analytics, machine learning algorithms, NLP, predictive maintenance, and industrial AI copilots to improve connected worker integrations with enterprise systems, providing real-time guidance, enabling predictive analysis, and enhancing communication and collaboration among workers.

Schedule a demo to learn more about our AI-powered connected worker solutions and how they are drastically improving frontline processes, training, and manufacturing activities.

 

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The Evolution of AI in Manufacturing

The evolution of AI in manufacturing has seen tremendous growth over the past few decades, now becoming more adaptive and collaborative, and being used to augment and directly support frontline workers.

The evolution of artificial intelligence and machine learning technologies in manufacturing has seen tremendous growth over the past few decades, with astounding leaps in technology and industry-wide transformations.

evolution of ai in manufacturing

Dating back to the 1960’s, manufacturers started using AI in robotics and basic automation. This early usage focused on automating manual, highly repetitive human tasks such as assembly, parts handling, and sorting, allowing for higher levels of production and efficiency.

Over time, this evolved with AI-enabled machine vision systems, which were used to automate visual inspections, allowing for better quality control and precision during production cycles. More recently, AI has been at the center of warehouse automation, as well as the Industrial Internet of Things (IIoT), where physical machines and equipment are embedded with sensors and other technology for the purpose of connecting and exchanging data, which is used in predictive analytics for machine health monitoring. Manufacturers can now glean valuable insights from data collected over time about optimizing their operations for maximum efficiency without sacrificing quality.

Despite the breath of applications that AI has in the industrial setting, there is a common thread across all of the above examples – AI has largely been used to automate highly repetitive or manual tasks, or perform functions designed to replace the human worker.

However, these examples laid the groundwork for the adoption of AI in manufacturing and for the use of AI technologies that augment and directly support frontline workers today.

Read below for more information on how the use of AI and GenAI is evolving in manufacturing, and being used to augment the human worker, transforming productivity and efficiency at a time when workforce optimization is needed most.

Using AI to Augment, not Replace the Workers in our Factories

Today, AI technologies in manufacturing have evolved to encompass a diverse range of applications. According to Deloitte, 86% of surveyed manufacturing executives believe that AI-based factory solutions will be the primary drivers of competitiveness in the next five years. Robotics and automation have become more adaptive and collaborative, working alongside and augmenting human workers to streamline production processes and increase efficiency – rather than simply trying to replace them.

As computing power and algorithmic capabilities improved, AI in manufacturing has become more advanced and widespread. The emergence of Industry 4.0, characterized by the convergence of digital technologies, further accelerated AI’s role in manufacturing. By leveraging tools like connected worker solutions to gather frontline data, manufacturing organizations can now capitalize on AI’s extraordinary computing power to analyze that data and derive actionable insights, improved processes, and more.

Much like the industry has learned to optimize equipment from the 1.7 Petabytes of connected machine data that is being collected yearly, we are now able to optimize frontline work processes and people from highly granular connected worker data, with one major caveat: In order to leverage this incredibly noisy data, a system has to be designed with an AI-first strategy, where the streaming and processing of this data is intrinsic to the platform – not added as an afterthought.

The potential for AI to help augment the human worker is there, but why now?

Because for today’s manufacturers, time is not on your side.

The workforce crisis in manufacturing is accelerating, and at the forefront of the minds of Operations and HR leaders. Job quitting is up, tenure rates are down, and manufacturers struggle daily to find the skilled staff necessary to meet production and quality goals. The threat is huge – with significant impacts to safety, quality, and productivity.

AI-based connected worker solutions allow industrial companies to digitize and optimize processes that support frontline workers from “hire to retire”. These solutions leverage data from your connected workforce to optimize training investments and proactively support workers on the job, across a range of manufacturing use cases.

 

paperless factory

Furthermore, solutions that leverage Generative AI and proprietary fit-for-purpose, pre-trained Large Language Models (LLMs) can enhance operational efficiency, problem-solving, and decision-making for today’s less experienced frontline industrial workers. Generative AI assistants can leverage enterprise-wide data, provides instant access to relevant information, closes skills gaps with personalized support, offers insights into standard work and skills inventory, and identifies opportunities for continuous improvement.

Augmentir’s AI-First Journey

At Augmentir, since the beginning, we pioneered an AI-first approach toward manufacturing and connected frontline worker support. 

augmentir's ai-first journey

Many manufacturing solutions incorporated AI technology as an add-on or afterthought as the technology gained more advanced capabilities and popularity. We, however, have been championing and building a suite of solutions using AI as a foundation. Our platform was designed from the bottom up with AI capabilities in mind, placing us as a leader in the connected frontline worker field. 

  • 2019 – Augmentir launched the world’s first AI-first connected platform for manufacturing work empowering frontline workers to perform their jobs with higher quality and increased productivity while driving continuous improvement across the organization. This marked the start of our AI-first journey, giving industrial organizations the ability to digitize human-centric work processes into fully augmented procedures, providing interactive guidance, on-demand training, and remote expert support to improve productivity and quality.
  • 2020 – Augmentir unveiled True Opportunity™, the first AI-based workforce metric designed to help improve operational outcomes and frontline worker productivity through our proprietary machine learning algorithms. These algorithms take in frontline worker data, then combine it with other Augmentir and enterprise data to uncover and rank the largest capturable opportunities and then predict the effort required to capture them.
  • 2021 – Building on user feedback and field data, Augmentir reveals True Opportunity 2.0™, with improved and enhanced capabilities surrounding workforce development, quantification of work processes, benchmarking, and proficiency. By Leveraging anonymized data from millions of job executions to significantly improve and expand the platform’s ability and automatically deliver in-app AI insights we were able to increase benefits and returns for Augmentir customers.
  • 2022 – Augmentir announces the release of True Productivity™ and True Performance™. True Productivity allows industrial organizations to stack rank their largest productivity opportunities across all work processes to focus continuous improvement teams at the highest ROI and True Performance determines the proficiency of every worker at every task or skill enabling truly personalized workforce development investments.
  • 2023 – Augmentir launches Augie™ – the GenAI-powered assistant for industrial work. By incorporating the foundational technology underpinning generative AI tools like ChatGPT, we enhanced our already robust offering of AI insights and analytics. Augie adds to this, improving operational efficiency and supporting today’s less experienced frontline workforce through faster problem-solving, proactive insights, and enhanced decision-making.
  • 2024 – As this year progresses, we have already continued to refine our AI-first solutions and apply user feedback and additional features to best support frontline industrial activities and workers everywhere.
  • 2025 and beyond – True Engagement™, looking forward we predict the evolution of AI in manufacturing activities will continue, progressing until we can accurately measure signals to detect the actual engagement of industrial workers and derive useful information and insights to further enhance both HR and manufacturing processes.

We are deeply involved in applying AI and emerging technologies to manufacturing activities to augment frontline workers, not replace them. Providing enhanced support, access to key knowledge (when and where it does the most good), and improving overall operational efficiency and productivity.

The Future of AI in Manufacturing – The Journey Forward

As we press onward into the future, we at Augmentir are determined to champion the application of AI and smart manufacturing to augment and enhance frontline workers and industrial processes. We will continue to evolve our application of AI and its use cases in manufacturing to help frontline teams and workforces, reinforcing our AI-first pedigree.

The addition of Augie to our existing AI-powered connected worker solution is an important step forward. Augie is a Generative AI assistant that uses enterprise-wide data, provides instant access to relevant information, closes skills gaps with personalized support, offers insights into standard work and skills inventory, and identifies opportunities for continuous improvement. Augie is a result of our dedication to empowering frontline workers, leveraging AI to support manufacturing operations, and giving manufacturing workers better tools to do their jobs safely and more efficiently.

With patented AI-driven insights that digitize and optimize manufacturing workflows, training and development, workforce allocation, and operational excellence, Augmentir is trusted by manufacturing leaders as a digital transformation partner delivering measurable results across operations. Schedule a live demo today to learn more.

 

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The Real Benefits of Digital Work Instructions in Manufacturing

The benefits of digital work instructions go far beyond simply standardizing work. The real benefit is in personalized guidance and support for today’s workers.

Digital work instructions are step-by-step directions on the best way to complete any task, from basic maintenance to fixing equipment. These digitized instructions are electronic versions of work procedures that are kept in a centralized system so workers can easily access them to work on tasks or to make timely decisions on projects. While the benefits of digital work instructions are numerous, the real benefit in manufacturing comes when digital work instructions can be personalized to the unique needs and skills of each worker.

So say goodbye to static documentation and hello to a new era of personalized digitization. If you’re interested in learning the real benefits of digital work instructions, read on about the following:

How digital work instructions are transforming manufacturing processes

Traditional instructions on paper can slow down a manufacturing operation. They can be lengthy, become quickly outdated, and are often full of mistakes. With paper-based reporting, for example, workers may forget to note the condition of equipment or update a faulty procedure.

Fortunately, digital instructions are an ideal solution. They offer visual demonstrations, how-to videos, and other resources for completing tasks. Most importantly, when digital work instructions are managed and delivered through a connected worker solution, they can be kept up-to-date to ensure compliance and product quality. According to Quality Magazine, not only do digital work instructions support overall enterprise productivity, but they also provide workers with an improved level of control over their work through enterprise data and automated insights.

benefits of digital work instructions

When you digitize your procedures, they can be accessed and kept up to date from wherever employees work. They can be enhanced with visual aids, contextual information, and augmented reality experiences to guide workers through complex jobs. Best of all, workers are less likely to make mistakes or miss steps when they can easily refer to clear and visually engaging information.

Digital work instructions are maintained via a connected worker solution, and delivered through mobile or wearable devices on the shop floor. These solutions can be coupled with AI-powered software to further help companies digitize production procedures.

This leads to greater worker productivity and output.

The real benefits of digital work instructions

Digital work instructions provide countless advantages when implemented throughout your entire organization, including improved production processes, decreased downtime, greater operational competence and safety, as well as support for a centralized database of knowledge. On their own, they deliver standard work guidelines but fail to consider the unique skills of each worker, which is increasingly important in today’s evolving and labor-constrained workforce.  The typical one-size-fits-all approach to managing, guiding, and supporting employees won’t cut it in today’s market.

Businesses need a solution that helps them improve manufacturing processes and meet their workers where they are.

This is where AI-based solutions come in.

Using AI-based connected worker solutions, organizations can digitize and easily manage skills tracking and training programs and connect them with frontline operations. Embedded AI can dynamically optimize work processes to deliver training in the flow of work, tailored support, and more. Solutions that combine skills tracking capabilities with connected worker technology and on-the-job digital guidance can deliver significant additional value. Data from actual work performance can inform workforce development initiatives allowing you to target your training, reskilling, and upskilling efforts where they have the largest impact.

It can generate an abundance of valuable data to provide tailored training support and skills endorsements and identify workforce opportunities. These benefits extend beyond simply standardizing work to include:

1. A more motivated, more engaged workforce

An organization’s commitment to cultivating its team’s skills can influence their attitudes toward the job. A worker is likelier to perform better when valued and appreciated. Digitized skills tracking also ensures that workers are qualified to perform their job.

2. Mitigate risk and ensure safety

Solutions that include personalized work instructions that incorporate worker skills allow organizations to validate at the time of work assignment who has the skill level to safely perform a specific task. This helps to mitigate risk and ensure safety.

3. Intelligently assigning work

Ensure the right person is assigned to the right job. Manage work assignments based on skill level, endorsements, and actual job performance.

skills taxonomy

4. Closes the skills gap

Tracking skills is a great way to identify gaps between the skills employees already have and the skills they need. With this information, the company can arrange for additional training or other ways to invest in their employees. Keep in mind that as your manufacturing organization evolves and grows, so should your employee skillset.

6. Identify upskilling or reskilling opportunities

Use data from actual work performance, combined with an employee’s current skills and endorsements to inform your reskilling and upskilling decisions. Knowing where improvements need to be made can close any learning gaps and boost the overall success of a company. Optimizing your workforce can help improve productivity in every department, giving your company a competitive edge in today’s market.

 

Connected worker solutions that combine skills management with digital work instructions, collaboration, and knowledge management are uniquely suited to optimize today’s variable workforce. AI-generated insights are pulled from patterns identified across all work activity in real-time. These insights identify where new and experienced workers may benefit from either reskilling or upskilling.

This combination of smart digital technology can also leverage your training resources, such as instructional videos, written instructions, or access to remote experts, to deliver personalized guidance for the worker to perform their best. These tools intelligently work together to help you assign workers to procedures based on required skill levels.

FAQs about digital work instructions

What is the purpose of digital work instructions?

Digitized work instructions provide clear, step-by-step directions on how each manufacturing task should be performed. They are kept in a centralized database for real-time view of procedures, how-to videos, training opportunities, and more. Companies implement them in order to improve workers’ procedural knowledge, ensure standard work compliance, reduce mistakes, and raise production quality overall.

How can digital work instructions help manufacturers?

Digital work instructions help manufacturers create a more productive workforce that values detail, quality, and learning. Work instructions can be updated to fit best practices, reduce human error, and provide learning opportunities with visual cues like videos, pictures, augmented reality experiences, and more.

Which work instruction software is right for me?

Although there are different software programs out there, Augmentir is the world’s leading connected worker solution, and the only solution that uses AI to personalize instructions based on individual worker proficiency and skill levels.

How Augmentir’s digital solutions can help

Digitizing work instructions is a great start to address manufacturing issues, however, alone, it won’t help completely solve some of the biggest workforce challenges. It’s not enough to simply move from paper-based to digital work instructions.

We must go a step further, for example, Augmentir’s platform provides complete digital workflow authoring tools that allow you to not only quickly convert your paper-based processes to digital work instructions, but also use AI to dynamically personalize them to the needs of your individual workers.

  • Digital work instructions, augmented with visual aids, contextual information, and industrial collaboration tools, help intelligently guide workers through complex jobs
  • Complete workflows allow you to digitize complex business processes
  • Embedded AI dynamically optimizes work procedures and workflows to deliver in-situ training and support

 

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