Solving the Single Largest Pain in Digitizing Frontline Work

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In conversations with our customers, a recurring theme emerges when discussing their transition to digital processes: the largest cost and burden often lies in the time and effort required to digitize existing paper-based materials.

In conversations we have with manufacturing companies, a recurring theme emerges when discussing their transition to a paperless operation: the largest cost and burden often lies in the time and effort required to digitize existing paper-based materials.

digitizing frontline work with the augie gen ai suite

Standard Operating Procedures (SOPs), work instructions, and checklists are typically built over years, representing a significant repository of organizational knowledge. Converting these into digital formats while maintaining accuracy and accessibility can be daunting.

Customers frequently express concerns about the resource-intensive nature of this transformation. It’s not just about scanning documents; it’s about rethinking and structuring them for digital workflows. Many find themselves needing to allocate substantial time to review, update, and adapt content to ensure it aligns with current operational realities and integrates seamlessly into new platforms.

 

This challenge is real for any industrial company undergoing a digital transformation. It also represents an opportunity … and this is exactly why we created Augie.

The Power of GenAI in Digitizing Content

Generative AI (GenAI) has transformative potential for digitizing content by automating the conversion of paper-based materials into structured, digital formats. It can analyze and extract information from documents like SOPs, work instructions, or checklists, quickly translating them into editable, standardized templates. GenAI also enables content enhancement, such as rewriting for clarity, integrating visuals, language translation, or adapting content for specific workflows. By accelerating the digitization process and reducing manual effort, GenAI empowers organizations to transition to digital systems more efficiently and cost-effectively.

Augie, a suite of Industrial Generative AI tools from Augmentir, revolutionizes industrial digital transformation by combining advanced AI capabilities with practical, human-centric applications. Augie uses generative AI and the power of advanced Large Language Models (LLMs) to transform digital content creation, create adaptive workflows, provide real-time worker guidance, and analyze data to deliver actionable insights.

 

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Augie has been instrumental in helping us quickly transform our existing paper-based SOPs and training documents into interactive digital work instructions and learning tools. We’ve reduced our digitization effort from months down to days. This has streamlined our processes, reduced errors, and accelerated the upskilling of our workforce.

Digital Transformation Lead
Fortune 100 Food & Beverage Manufacturer

 

Augie for Procedure Creation

Augie is a powerful tool for accelerating the transition from paper-based to digital operations in manufacturing and industrial settings.

Quickly generate standard work procedures from Excel, Word, PDFs, images, or videos. The Augie Content Assistant takes your existing content and generates digital smart forms, checklists, and digital work instructions.

augie generative ai industrial copilot content conversion assistant

Augie for Training Content

Augie, Augmentir’s GenAI assistant, makes it easier to convert paper-based information into tailored training content and quizzes for today’s less experienced frontline workforce. Augie automatically analyzes SOPs, work instructions, and other documents to create clear, simplified training modules. It generates interactive quizzes to reinforce key concepts and adapts learning materials to individual skill levels, ensuring workers engage with relevant content.

augie industrial copilot generative ai assistant for training and quiz creation

By streamlining this process, Augie reduces the effort and time required to create effective, hands-on training tools for workforce development.

Augie for Content Localization

Language translation and localization are crucial for ensuring work instructions and training materials are effective and accessible for frontline workers in manufacturing and any industrial setting. Providing materials in a worker’s native language increases comprehension, reduces errors, and enhances safety.

With Augie, content localization is easy. Augie’s content localization tools make work instructions and training materials more relatable and actionable. This investment fosters better workforce performance, inclusivity, and compliance with global standards.

augie gen ai suite assistant for content localization

The Next Phase of AI in Manufacturing is Here

Augie redefines the next phase of AI in manufacturing by seamlessly integrating generative AI into frontline operations to accelerate digitization, as well as enhance productivity and worker empowerment. Augie includes a complete suite of AI-powered assistants and AI services that help bridge the skills gap, accelerate onboarding, and ensure frontline workers are equipped with the knowledge they need to succeed.

The Augie Industrial Gen AI Suite transforms every stage of the Connected Worker Journey.

 

augie transforms your connected worker journey

 

Augie transforms every stage of the connected worker journey by providing a complete suite of AI tools that evolves alongside an organization’s needs. It begins with the digitization of processes and the conversion of static, paper-based content into dynamic, interactive digital workflows, making operations more accessible and efficient for frontline workers. As operations become connected, Augie leverages real-time data to deliver actionable insights, enabling companies to identify inefficiencies, improve workflows, and drive continuous improvement.

Beyond operational enhancements, Augie fosters continuous innovation through its extensibility and seamless integrations with other enterprise systems, creating a unified, scalable ecosystem that adapts to new challenges and opportunities. By addressing every phase of the connected worker journey, Augie empowers organizations to not only modernize their operations but also build a foundation for long-term success and innovation.

 

Now is the time to embrace the future of manufacturing—don’t miss out on the opportunity to empower your workforce and elevate your operations with Augie. Take the first step toward a smarter, more efficient manufacturing environment today.

 

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How to Digitize Your Operator Driven Reliability (ODR) Program with Connected Worker Technology

Explore how to digitize Operator Driven Reliability (ODR) programs and processes with an AI-powered Connected Worker Platform for improved efficiency, accuracy, and better results.

Operator Driven Reliability programs, a.k.a. ODR programs, empower frontline operators to take an active role in equipment maintenance and reliability. It recognizes that due to operators’ constant contact with equipment, they are the best situated to detect any potential issues and take preventative steps before any damage is caused.

operator driven reliability odr program

While ODR programs are forward-thinking and apply the same lean manufacturing principles found in autonomous maintenance, in many cases they still have room for improvement. For example, in too many instances manufacturing ODR programs are still completed using outdated pen-and-paper procedures. This causes tasks like plant operator rounds to take far longer than they would if reports, checklists, and work instructions were digitized and delivered via a smart connected worker platform.

Then not only would equipment maintenance and reliability be streamlined and faster, but there would also be a digital footprint available for operational activities like process improvement, data analysis, audit reporting, and more. Read below to discover the benefits of a digital ODR program, including best practices, real-world examples, and insights into the future of ODR and workforce dynamics in manufacturing.

The Benefits of a Digital ODR Program

Digital Operator Driven Reliability (ODR) programs offer significant advantages over traditional pen-and-paper methods. AI-driven connected worker platforms play a crucial role offering integrations with existing systems like ERP, CMMS, MES, and QMS, supporting ODR training with guided support and tutorials, encouraging continuous improvement through performance tracking and digital skills assessments, and even facilitating enhanced industrial collaboration with real-time communication and cross-shift knowledge-sharing.

Further benefits of a digital ODR program include:

  • Enhanced Data Collection and Analysis: Connected worker platforms allow for real-time data capture from operators on the condition of equipment and AI-driven analytics are able to identify trends, offer actionable insights, and predict potential issues.
  • Digital Workflow Optimization: Digital work instructions and checklists optimize and streamline tasks and procedures, standardizing ODR activities, and automating task assignments and reminders for an increase in efficiency and accuracy.
  • AI-Driven Insights and Decision Making: AI-powered tools coupled with data collected through connected worker platforms offer visibility into the frontline workforce like never before, enabling better workforce intelligence, informed decisions about equipment maintenance and reliability, predictive maintenance based on historical data, and more.
  • Digital Documentation and Compliance: Digital forms and checklists offer automatic logging of ODR activities and equipment interventions, easy access to up-to-date standard operating procedures (SOPs), and digital audit trails for regulatory compliance. Overall, digitizing the documentation processes for ODR programs ensures better accountability and regulatory adherence.
Pro Tip

With AI-driven connected worker technology, manufacturers can effectively digitize their ODR programs, significantly enhancing equipment reliability, reducing downtime, and improving overall operational efficiency in manufacturing environments.

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Digital Operator Driven Reliability – Best Practices and Examples

Implementing a digital ODR program helps manufacturers empower frontline operators, engaging workers with an active role in equipment maintenance and reliability, leading to reduced downtime, improved productivity, and better overall equipment performance.

Below are some best practices and industry examples of digital ODR programs in real-world situations.

Best practices for digital ODR programs:

  • Implement robust data collection and analysis systems
  • Provide mobile accessibility for operators
  • Use digital work instructions and checklists
  • Enable real-time communication and collaboration
  • Integrate with existing systems (ERP, EAM, CMMS, MES)
  • Leverage AI-powered analytics and predictive maintenance
  • Offer digital training, knowledge management, and skill development tools

digital operator driven reliability with autonomous maintenance checklist cil

 

Autonomous Maintenance Checklist
Free Template
Standardize your autonomous maintenance routines with our free Autonomous Maintenance Checklist Template. Download our PDF template to get started, and learn more about digitizing your autonomous maintenance process with Augmentir.
Download Free Template

Industry examples of digital ODR in action:

  • Chemical Manufacturing Plants – Refinery and chemical operators conduct regular valve inspections and adjustments, using digital operator round planning tools to schedule routines and automate notifications.
  • Food and Beverage Production – Packaging line operators inspecting sealing mechanisms for proper operation can log equipment condition data into digital systems, clean and lubricate equipment fittings, and provide observations to maintenance teams supported by digital media assets like pictures and videos.
  • Pulp and Paper Mills – Operators conduct regular visual inspections of the Fourdrinier wire (the mesh screen that forms the paper sheet) for signs of wear, damage, or misalignment and use, using digital checklists to streamline and standardize inspection processes and document any minor repairs or adjustments made during their shift.

Through digital ODR practices, manufacturing frontline operators can help detect early signs of problems, maintain optimal machine performance, and contribute to reduced downtime and improved product quality.

The Future of ODR Programs and the Manufacturing Workforce

Manufacturing currently faces a series of crises, ranging from a severe shortage of skilled workers to an insurmountable increase in customer demand – industrial organizations are working hard to keep their facilities producing and their heads above water while still maintaining industry standards.

Many manufacturers continue to experience high frontline worker disengagement and attrition rates, a recent study by The Manufacturing Institute and PwC stated that more than one-third of manufacturers reported high turnover rates, while only 58% carried out proper frontline employee engagement initiatives.

Using AI-driven connected worker platforms to digitize programs like ODR that incorporate frontline operators and engage them in meaningful tasks using their expertise is the best path forward for manufacturing organizations regardless of their industry focus. These platforms allow for quick adoption of new processes and adaptation of current processes based on market needs/demands. They support frontline workers like never before, giving them access to tools like generative AI assistants and expert knowledge and guidance at a moment’s notice.

The future of manufacturing lies in the hands of the next generations of workers and it’s the responsibility of industrial organizations to equip them with the right tools to keep them safe and ensure they can carry out their duties effectively.

Interested in learning more?

To learn more about digitizing Operator Driven Reliability (ODR) and how to transform your frontline manufacturing activities with our AI-powered connected worker platform – schedule a demo with one of our product experts.

 

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Augie AI Suite – The Next Frontier in AI for Manufacturing

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Discover how Augmentir’s Gen AI Suite and Augie transforms how manufacturers support frontline activities and personnel.

If you haven’t heard about Augie yet, you’re missing out on one of the most important AI technologies in manufacturing.

augie industrial gen ai suite - the next frontier in ai for manufacturing

Augie, a suite of Industrial Generative AI tools from Augmentir, is revolutionizing the way manufacturing teams operate by combining advanced AI capabilities with practical, human-centric applications. Designed to empower frontline workers and optimize industrial processes, Augie uses generative AI and the power of advanced Large Language Models (LLMs) to create adaptive workflows, provide real-time guidance, transform digital content creation, and analyze data to deliver actionable insights. It bridges the skills gap by offering personalized support and training while improving productivity and reducing downtime. Whether it’s streamlining operations or fostering innovation, Augie is setting a new standard for how AI can drive efficiency and empower workers in the manufacturing industry.

Read below to learn more about the Augie GenAI Suite and what it means for the future of industrial work.

The Next Phase of AI in Manufacturing is Here

Augie from Augmentir is redefining the next phase of AI in manufacturing by seamlessly integrating generative AI into frontline operations to enhance productivity, agility, and worker empowerment. Augie includes a complete suite of AI-powered assistants and agent functionality that help bridge the skills gap, accelerate onboarding, and ensure frontline workers are equipped with the knowledge they need to succeed.

The Augie Industrial Gen AI Suite transforms every stage of the Connected Worker Journey.

 

augie transforms your connected worker journey

 

Augie is transforming every stage of the connected worker journey by providing a complete suite of AI tools that evolves alongside an organization’s needs. It begins with the digitization of processes and the conversion of static, paper-based content into dynamic, interactive digital workflows, making operations more accessible and efficient for frontline workers. As operations become connected, Augie leverages real-time data to deliver actionable insights, enabling companies to identify inefficiencies, improve workflows, and drive continuous improvement.

Beyond operational enhancements, Augie fosters continuous innovation through its extensibility and seamless integrations with other enterprise systems, creating a unified, scalable ecosystem that adapts to new challenges and opportunities. By addressing every phase of the connected worker journey, Augie empowers organizations to not only modernize their operations but also build a foundation for long-term success and innovation.

 

Accelerate Your Transition to Digital

Augie is a powerful tool for accelerating the transition from paper-based to digital operations in manufacturing and industrial settings.

Quickly generate standard work procedures from Excel, Word, PDFs, images, or videos. Augie takes your existing content and generates digital smart forms, checklists, and digital work instructions.

 

“This is a significant game-changer for our digitization efforts. Migrating our existing paper-based SOPs and work instructions to a modern, digital format used to be a major roadblock for us. The Augie Content Assistant reduces this effort by 75%, which is helping us accelerate our digital transformation efforts.”

VP Global Engineering Services
Fortune 500 Consumer Goods Manufacturer

 

Deliver Context-aware AI for Frontline Workers

Augie leverages context-aware AI to deliver highly personalized and situationally relevant support to frontline workers, revolutionizing how they interact with technology and perform their tasks. By analyzing real-time data from equipment, workflows, and worker inputs, Augie can understand the specific context of a worker’s environment—such as their current task, skill level, or the operational status of machinery—and provide tailored guidance and recommendations.

augie gen ai suite

For example, if a worker encounters an equipment issue, Augie can instantly offer troubleshooting steps or alert maintenance teams, ensuring minimal downtime. This context-awareness not only enhances productivity but also improves safety by proactively identifying risks and suggesting corrective actions. By aligning AI assistance with the unique needs of each worker and situation, Augie empowers frontline employees to work more effectively, confidently, and efficiently.

Uncover New Opportunities for Continuous Improvement

With Augie, companies can identify opportunities for continuous improvement, get access to a clear view into at-risk KPIs, measure training effectiveness, and surface AI-based insights into where your operations are succeeding or failing.

augie data assistant continuous improvement

 

 

Augie is undoubtedly the next frontier in AI for manufacturing, offering a transformative solution that redefines how companies approach productivity, workforce empowerment, and operational efficiency. By seamlessly integrating generative and context-aware AI, Augie provides frontline workers with real-time, personalized support, bridging the skills gap and driving innovation at every level of the organization. Its ability to digitize processes, optimize workflows, and enable smarter decision-making sets a new standard for what’s possible in the age of Industry 4.0.

Now is the time to embrace the future of manufacturing—don’t miss out on the opportunity to empower your workforce and elevate your operations with Augie. Take the first step toward a smarter, more efficient manufacturing environment today.

 

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Ushering in a New Era for Connected Industrial Work with the Augie™ GenAI Suite

Discover how Augmentir’s Gen AI Suite and Augie transforms how manufacturers support frontline activities and personnel.

We recently unveiled a watershed moment in connected worker technology history with updates and expansions to Augie, our generative AI assistant for industrial work. This expansion drastically improves the breadth and reach of Augie’s capabilities, enhancing the already powerful tool even more and creating a generative AI suite of tools and assistants for frontline industrial work. This first-of-its-kind Augie GenAI Suite, redefines the future of manufacturing, empowering frontline workers everywhere with unmatched AI-driven tools.

But what does this mean for manufacturers and industrial organizations looking to improve their operations and how can Augie help you?

augie industrial generative ai assistant manufacturing

Basically, this suite of generative AI assistants includes dedicated capabilities for companies to enhance their Troubleshooting, Operations, Data Insights, and Content Creation; and even introduces a GenAI-as-a-Service option. This expands on Augie’s existing capabilities for advanced troubleshooting and real-time digital assistance to frontline workers and adds further abilities for advanced safety/risk mitigation, worker compliance, workforce development, knowledge management and training, quality management, and more.

Read below to learn more about the new Augie GenAI Suite, what it can do, what it means for the future of manufacturing work, and how it can help you.

Augie’s Expanded Suite of GenAI Assistants

The Augie suite transforms frontline manufacturing like never before – giving teams instant access to expert knowledge, next-level data insights, and seamless operational support. From troubleshooting to operations and content creation, the possibilities are endless.

Introducing a first-of-its-kind GenAI Suite for industrial work:

Augie Industrial Assistant 2.0

Enhancements include support for dozens of new content types, the addition of patented-pending prompt enrichment, and superior prioritization, resulting in increased accuracy and actionability.

Augie Content Assistant

Automatically convert existing digital content (Word Excel, PDF, etc.) into native Augmentir Work instructions, SOPs, OPLs, CILs, Checklists, etc., accelerating deployment. Generate Training, Checklists, and Quizzes from a wide range of source types including images, manuals, free-form tests, etc., to streamline worker training and onboarding.

Augie Data Assistant

Augie provides insights from any source of operational data, including standard data sets such as Skills, Standard Work, Safety, and Work Execution, as well as customer-specific datasets generated through Augmentir’s report configurator. Augie eliminates/reduces the need for “report writing” and, through its conversational interface, answers questions, performs math, and generates graphical reports, increasing responsiveness.

Augie Extensibility Assistant

The Extensibility Assistant increases the productivity of developers building new and supporting existing user-defined functions in Augmentir’s extensibility framework. Augmentir’s unique Platform-as-a-Service capabilities enable customers and partners to create unique capabilities to solve important business problems, a capability not available elsewhere in the market

Augie Industrial GenAI-as-a-Service

As an industry first, Augie exposes its GenAI capabilities as APIs in Augmentir’s extensibility framework, enabling companies and partners to utilize Industrial genAI within innovative, company or vertical-specific use cases. Commonly used APIs include translateText enabling on-the-fly translation of dynamic content, and imageQA, enabling direct comparison or summarization of images, supporting critical applications in Quality, Safety, and Operations.

This is a true game-changer for frontline manufacturing personnel, equipping them with expert knowledge, advanced tools, and intuitive support like nothing has before. But more than that, these are not just simple upgrades, this is the future of manufacturing, right at the fingertips of those who matter most – frontline personnel.

Advantages of Generative AI Assistants in Manufacturing

Generative AI assistants in manufacturing streamline production by automating repetitive tasks, reducing human error, and optimizing workflows. They enhance decision-making through real-time data analysis, leading to increased efficiency and cost savings. Augie is unique among other smart manufacturing assistants in that it leverages proprietary fit-for-purpose, pre-trained LLMs and generative AI, coupled with robust security and permissions, to help factory managers, operators, and engineers improve efficiency, resolve issues faster, and prevent downtime.

Through Augie, manufacturers can instantly:

  • Close skills and experience gaps with personalized support
  • Gain insights into Leader Standard Work
  • Gain new insights into skills inventories
  • Convert Tribal Knowledge into Digital Corporate Assets
  • Identify opportunities for continuous improvement
  • Forecast potential operational issues

The expansion of the Augie tool kit further enhances these capabilities, allowing for more advanced and adaptable functions such as those described above. With the Augie GenAI suite by your side, the potential for improved frontline support, optimized manufacturing operations, and the empowerment of frontline industrial workforces is limitless.

Supporting Frontline Workers with GenAI Assistants

Augmentir introduced Augie in early 2023, becoming the first software provider in the manufacturing sector to offer a generative AI solution focused on the industrial frontline workforce.

Since its launch, Augie has seen massive support from leading manufacturing organizations. It has been applied by these global leaders across all manufacturing and production types, helping prevent safety and quality issues at the point of work, driving operational efficiency, and giving frontline workers the tools, guidance, and support they need to do their best work.

Augie’s generative AI capabilities are built into the core of the Augmentir platform, so users can quickly and securely leverage the latest AI advances within the framework of digital collaboration, skills management, and work execution. This allows frontline users and other manufacturing personnel to leverage existing data, documents, applications, and their existing tribal knowledge, increasing their ROI.

Interested in learning more?

To learn more about Augie and how it has the potential to transform and augment your frontline workers and activities with patented AI-driven insights and to learn why Augmentir is trusted by leading manufacturers as a reliable digital transformation partner – schedule a demo with one of our product experts.

 

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How to Improve Manufacturing Shift Handover

Learn how to improve manufacturing shift handover with our downloadable template and AI-powered connected worker solution.

Improving shift handover in manufacturing involves implementing strategies to enhance communication, streamline processes, and ensure a smooth transition between shifts. These strategies can include creating a shift handover template (shift handoff template), implementing digital processes with a connected worker platform, and establishing standardized shift handover protocols.

shift handoff shift handover in manufacturing

Encouraging active participation and engagement from both incoming and outgoing personnel fosters a culture of accountability and collaboration. Regular training sessions and feedback mechanisms enable teams to continuously refine their handoff procedures and address any challenges. By prioritizing clear communication, standardized processes, and ongoing improvement efforts, manufacturing facilities can optimize shift handoff practices and maximize operational efficiency.

Read below to learn why shift handover is important, how to standardize shift handoffs for safer operations, examples of shift handover templates (shift handoff templates), and how to digitize shift handoffs with connected worker software tools.

 

Shift Handover Template
Free Template
Streamline the process of shift handoff with our free Shift Handover Template. Download our PDF template to get started, and learn more about digitizing your shift handover process with Augmentir.
Download Free Template
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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Why are shift handovers important?

Shift handoff in manufacturing is a critical process where incoming and outgoing personnel exchange information, ensuring continuity and efficiency in production operations. During this transition, essential details such as production status, equipment condition, safety concerns, and any ongoing issues are communicated to ensure a seamless transfer of responsibility.

The consequences of improper shift handover communication and processes can be devastating. For example, a U.S. Chemical Safety and Hazard Identification Board investigation found that a series of shift communication mistakes beginning five days before an incident led to the release of nearly 24,000 pounds of methyl mercaptan, a toxic chemical. This caused not only OSHA fines over $270,000, but also the death of four employees who inhaled the toxic fumes.

Effective communication during shift handoff is paramount to effective daily management, enabling the incoming team to understand the current state of affairs, anticipate potential challenges, and maintain productivity levels. By prioritizing clear communication and thorough documentation, manufacturing facilities can enhance operational effectiveness and maintain high standards of safety and quality across shifts. Additionally, documenting key information facilitates future reference and aids in problem-solving.

Standardizing Shift Handovers for Safer Operations

Pen and paper shift handover reports and verbal handoffs are often ineffective due to a lack of structured communication between shifts, other departments/teams, and reports that lack crucial details. Data is often exchanged verbally, through emails, and physical notes that can be misinterpreted or misunderstood by the next person or by a later shift. This process can be streamlined through standardization, saving time and effort.

Standardized work is a core pillar of operational safety excellence, in essence, it is the process of completing repetitive activities in a consistent way to ensure optimal outcomes. Applying this concept to shift handoffs and shift handover reports creates efficient methods for communicating and collaborating across shifts ensuring smoother handovers, improved responses, and increased safety.

Shift Handover Template Examples

Regardless of industry, creating a shift handover template (shift handoff template) is a best practice that can have a big impact on productivity, satisfaction, and safety. The following is an example of a shift handover templates that can be modified to fit organizational needs:

 

Shift Handover Template
Free Template
Streamline the process of shift handoff with our free Shift Handover Template. Download our PDF template to get started, and learn more about digitizing your shift handover process with Augmentir.
Download Free Template

 

Not all shift handover reports will look the same, they will vary from industry to industry, department to department, and company to company. However, the example above captures the essence and key elements needed in a shift handoff report.

Pro Tip

Shift handover templates need to be comprehensive yet to the point. Keeping it simple, asking for the relevant information, and refraining from lengthy or tedious forms will help ensure completion and participation from frontline workers.

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Digital Shift Handover with Connected Worker Software

Leveraging smart connected worker tools to create digital shift handovers is revolutionizing the traditional manufacturing shift handoff process. Using connected worker solutions manufacturers facilitate real-time communication, improved data sharing, and enhanced task management between shifts. By incorporating features such as mobile and wearable devices, cloud-based platforms, and GenAI assistants, digital shift handovers enable seamless information exchange regardless of location, improving accessibility and efficiency.

Augmentir’s connected worker platform and suite of connected worker tools help manufacturers standardize work and continually improve operations. Import existing PDF, Word, or Excel documents directly into Augmentir and create digital, interactive work procedures and checklists using Augie™, a Generative AI content creation tool from Augmentir.  Once digitized, workers can easily access shift reports, production metrics, equipment status updates, and safety protocols from mobile or wearable devices – ensuring continuity and transparency across shifts.

Moreover, smart connected worker tools facilitate proactive problem-solving and provide instant notifications for abnormalities or maintenance requirements, empowering teams to address issues promptly and prevent downtime.

Contact us to learn more about why Augmentir is trusted by leading manufacturers to transform their daily management and improve:

  • Issue and Activity Management and Tracking
  • Standard Work Audits and Scheduling
  • Smart Forms and Checklists
  • Smart Collaboration and Communication
  • Closed-loop Worker Performance Support
  • and more…

 

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Frost & Sullivan Names Augmentir the Leader on the Frost Radar™: Augmented Connected Worker Platforms, 2024

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The latest Frost & Sullivan Radar report recognizes Augmentir as the Leading Augmented Connected Worker Platform.

Augmented Connected Worker (ACW) solutions revolutionize manufacturing and industrial operations and Augmentir is leading the way!

The recent Frost & Sullivan Radar report recognized Augmentir as the Leading ACW Solution with our AI-powered connected worker platform. AWC is a concept that combines the methodologies behind connected worker and augmented worker initiatives to provide a clearer, more accurate picture of what the future of manufacturing work looks like.

augmentir named the leader in frost radar for augmented connected worker platforms 2024

Read below to learn more about Augmentir in the Frost Radar report and how ACW technologies benefit both manufacturers and their workers alike.

The Frost & Sullivan Augmented Connected Worker Radar Report 2024

The Frost & Sullivan Radar Report, or Frost Radar™, is an analytical tool that benchmarks the future growth of leading organizations across multiple industries. Through careful selection and research across criteria that encompasses 2 major indices and 10 evaluation criteria, analysts select organizations that will be able to successfully support users into the future.

This edition of the Frost Radar, ranked Augmentir #1 out of all the ACW vendors. Augmentir empowers organizations to embrace Augmented Connected Worker initiatives through a comprehensive platform that combines connected worker and AI technologies to connect and support frontline workers like never before.

frost radar augmented connected worker platforms

As manufacturing workers become more interconnected, they can use AI tools in conjunction with smart connected worker solutions to gain insights that pinpoint areas with significant potential for improvement, this allows them to truly augment their workforces equipping them with the knowledge and abilities to complete their work safely and competently.

For more information on the Frost Radar, and the evaluation methodology used by Frost & Sullivan, click here.

Augmentir Ranked #1 Connected Worker Platform, Most Complete Solution on the Market

Frost & Sullivan has identified nine functionalities that are essential for a complete ACW solution.

  1. Knowledge and data management. The solution serves as a repository of knowledge.
  2. Work assistance and productivity. It provides digital tools to enhance frontline workers’ tasks, such as digital work instructions, digital Kanban boards, and navigation guidance.
  3. Seamless experience. The solution must be easily accessible from available devices (phones, tablets, wearables) to integrate seamlessly into everyday operations.
  4. Skills management. This serves as an extension for learning management systems (LMS) and provides supervisors and plant managers the necessary tools to upskill the workforce.
  5. Channel for communication. The solution offers native features to enable collaboration across operations, such as remote assistance, multi-site or multi-team workflows, and news feeds.
  6. Reporting and analytics. This refers to pre-built dashboards with workforce and task execution data. The ACW platform can also provide tools for configuring custom dashboards and integrating data from other systems.
  7. Integrations. The solution comes with a variety of pre-built connectors and tools to easily build new integrations to common systems.
  8. Platform capabilities. NC and LC development environments allow the building of digital procedures, workflows, training programs, and dashboards. Standard templates are available to accelerate time to value and the default deployment option is cloud-based.
  9. Integrated AI. The solution leverages AI in one or more ways. AI-enabled features include predictive maintenance, automatic creation of workflows/digital work instructions/troubleshooting procedures based on video or worker input, automatic analysis and optimization recommendations for processes, AI-powered search engines, copilots, live translations, and more.

Frost & Sullivan ranked Augmentir as a Leader in both innovation and growth within the ACW solution landscape.

According to Frost & Sullivan:

Augmentir offers one of the most comprehensive ACW solutions in the market. Its new AI copilot sets it apart from most other products in the market by covering a variety of use cases. The company’s plans to leverage engagement data from the workforce is a unique initiative in the current market. All these factors contribute to making Augmentir the leader in the Frost Radar Innovation Index.

Augmenting Frontline Workers with an AI Platform for Connected Work

Manufacturing is uniquely situated as an industry to benefit from Augmented Connected Worker solutions leveraging AI-powered connected worker technology for process improvements, quality, management, enhanced training, and more. ACW initiatives facilitate faster onboarding, increased workforce flexibility, and the retention of essential knowledge.

augmentir connected worker platform

AI – including generative AI tools, software, and assistants – plays a crucial role in ACW initiatives, addressing overarching trends like skills variability and the loss of tribal knowledge within the workforce. It serves as the cornerstone for implementing data-driven improvements in operational performance and continuous enhancement.

At Augmentir, we believe that a connected worker platform’s purpose goes beyond just delivering instructions and remote support; it should continually optimize the entire connected worker ecosystem and augment the capabilities of frontline workers. With this in mind, we introduced Augie™ – our generative AI assistant for industrial work, in early 2023.

With Augie, manufacturers can unlock previously untapped potential in their frontline personnel and operations. Our recent expansion and enhancements now offer the first-ever suite of dedicated GenAI assistants for manufacturing enterprises covering anything from Troubleshooting, Operations, and Data Insights, to Content Creation and even GenAI-as-a-Service.

Interested in learning more?

If you’d like to learn more about Augmentir and see how our AI-powered connected worker platform enables Augmented Connected Worker initiatives to improve safety, quality, and productivity across your workforce, schedule a demo with one of our product experts.

 

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Why Quality is Important in Manufacturing

Learn why implementing quality in manufacturing is crucial for product creation, risk management, and more.

Quality in manufacturing depends on effective quality control (QC), a set of procedures used to measure and test products for compliance. The main function of QC is to ensure that all goods are free of defects, meet client expectations, and adhere to industry best practices.

Products have the potential either to increase customer satisfaction or to create legal and financial complications if deficiencies are found. In the current era where consumers are increasingly conscious of product safety and quality, it is paramount that manufacturers are doing all they can to ensure products meet all quality standards. Quality goods can affect a business’s success and advance its credibility to the public. They can also lead to fewer production costs and increases in profit.

With emerging digital technologies such as AI and connected worker solutions, manufacturers can improve quality control, decrease defects, and more. AI-powered connected worker platforms allow manufacturers to standardize quality control, resulting in fewer errors, reduced defects, and streamlined quality processes that are faster and more accurate.

Explore the following content to get a better idea of why quality is crucial and ways to improve it:

quality in manufacturing

Defining quality on industrial frontlines

Quality in the manufacturing realm is all about following procedures to meet product and compliance specifications. Once the standard for quality is set, the rest is about meeting product expectations through standardized procedures.

Quality in production can be broken down into three factors: design, quality control, and quality management.

Design: A product can be significantly improved by design. For example, goods should be made with the right materials to ensure functionality and a longer shelf life.

Quality control: The level of quality is improved when waste and product defects are reduced during the QC process.

Quality management: Completing production processes that follow regulatory standards is at the core of quality management.

Pro Tip

By digitizing quality control and quality assurance procedures, manufacturers can ensure a standardized approach towards inspections and quality data collection and improve overall compliance with quality standards.

Quality affects every facet of manufacturing

Production quality is more than just distributing products that people will trust and buy. Though that may be a key factor, quality affects every aspect of manufacturing, from workplace risk management to machine upkeep and inspection.

Quality affects many aspects of production. Examples include the following:

  • Risk management ensures products are safe to use by customers and follow safety protocols. Smart, connected worker solutions are able to improve risk management through standardization and optimization of quality checks.
  • Regulatory compliance is a key component of quality and can help prevent delays in production and fines. With digitized processes in place, manufacturers are able to ensure workers have access to the correct procedures and that tasks are performed in a standardized manner to avoid errors and promote improved compliance.
  • Waste reduction is possible when material resources are conserved and used accordingly in production processes. AI-powered analytics in conjunction with smart, connected worker solutions allow for improved, streamlined processes that are able to reduce waste and improve yield through optimized production.
  • Errors and defects are reduced when procedures are standardized using efficient QC processes to troubleshoot problems. With connected worker solutions and digitized quality control processes such as layered process audits, mistakes can be identified as they happen, protecting the production process.
  • Machine upkeep and inspection can be strengthened when industry best practices are implemented. Digitizing machine inspection standards and upkeep notifications and connecting frontline workers via smart, connected worker platforms gives operators the ability to practice preventative and autonomous maintenance and improves overall equipment effectiveness (OEE) and reduces unplanned downtime.

How to Improve Quality in Manufacturing

Quality improvement in manufacturing is vital to ensure a business is performing at its best. Here are some ways to boost quality with real-world examples:

Step 1: Practice lean manufacturing.

Lean manufacturing is the practice of reducing waste in production processes. Waste is defined as anything that does not bring value to the customer. This method requires an examination of your current practices to see which work and which leads to greater waste. The rise of digital technology is making it easier and more practical for manufacturers to connect and digitize their operations and drive further improvements and enhance lean manufacturing strategies.

Real-world application: An injection molding machine was found clogged with mold and was producing products with damaged seams. After resolving this issue by cleaning the machine, the company had less wasted plastic and fewer product malfunctions. With digitized notifications, real-time collaboration, and smart, connected worker solutions, situations like the above can be solved quickly and with reduced impact on production.

standardize and digitize quality assurance procedures

Step 2: Implement total productive maintenance.

Total Productive Maintenance (TPM) focuses on the idea that every employee should do their part to maximize equipment effectiveness. The objective is to create a culture where every worker adjusts and maintains machinery over the course of each shift. Through a combination of digital work instructions and real-time collaboration tools, manufacturers can better implement and improve TPM initiatives. This allows operators to independently complete maintenance tasks at peak performance and improve overall equipment effectiveness (OEE).

Real-world application: Both operators and maintenance staff can perform routine maintenance to check for errors or deficiencies. By implementing connected worker solutions organizations can improve the quality, transparency, and efficiency of maintenance and repair procedures and minimize machine downtime and reduce overall maintenance costs and impact.

Step 3: Embrace statistical process control.

This method involves detecting production issues by studying data anomalies to get rid of root causes before they ruin entire assembly lines. With connected frontline worker solutions that are integrated with enterprise quality management systems, organizations can improve statistical process control by optimizing data collection and inspection procedures through their frontline workforce. This essentially transforms frontline workers into quality sensors that further enhance and empower overall quality efforts.

Real-world application: Tracking the number of defective goods on each production line can help with identifying the root of any issue and taking corrective action. Smart, connected worker technology improves tracking ability, optimizes data collection, and identifies issues faster, reducing the risk of product recalls, and preserving consumer trust.

Digitizing Quality in Manufacturing with Augmentir

Companies are adopting innovative new technologies, processes, and methods to improve quality, productivity, and collaboration efforts across the industrial arena. Guaranteeing quality in manufacturing boils down to standardizing processes. Every procedure should contribute to product value and be carried out in a unified way. Implementing smart, connected solutions and coupling them with AI-powered analytics opens new paths for manufacturers to step forward and improve how they approach quality in the production process and beyond.

By digitizing analog paper practices, you enable better quality control and standardization of inspection procedures which, in turn, strengthens your overall manufacturing operations. Augmentir can help with the digitization and transformation process. We understand the need for effective quality control, and we have demonstrated success in helping manufacturers improve quality on the production floor.

Check out our quality use cases, and request a live demo today to learn for yourself why companies are choosing Augmentir to help standardize and digitize quality control procedures.

 

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How to Digitize Layered Process Audits with Connected Worker Technology

Learn how connected worker technology can help you standardize and digitize layered process audits for improved accuracy and better quality results.

Digitized Layered Process Audits (LPAs) are important in manufacturing for establishing and enhancing process standardization, quality management, multi-level workforce engagement, risk mitigation, and quality standards compliance. The primary function of a Layered Process Audit is to focus on observing and validating how products are made to ensure process and product quality. This effectively protects manufacturers and frontline manufacturing personnel from defects and process issues before they can do any damage.

digital layered process audits

Many crucial manufacturing processes are still carried out using outdated pen-and-paper methods; and as the industry continues to evolve, digitization is essential to remain competitive and maintain proper quality and safety standards. Layered Process Audits are no exception, with digitized layered process audits now a necessity, rather than a luxury, for organizations looking to keep pace, elevate their audit processes, and meet the demands of the evolving industry.

Learn more about how to streamline LPAs with connected worker technology, implement digital LPAs, and the benefits of AI-powered analytics for digitized LPAs and overall quality management excellence in manufacturing below.

Benefits of a Digitized Layered Process Audit

Connected worker platforms allow manufacturers to replace paper-based audit forms (like a layered process audit) with digital checklists that can be accessed and completed on mobile devices, allowing for:

  • Standardized audit formats and best practices across audit layers
  • Real-time data collection and improved audit tracking
  • Mobile access to information and knowledge including relevant documents, procedures, and historical data
  • Automated audit scheduling and notifications for consistent audit frequency across layers and reduced administrative burden
  • Real-time issue reporting and escalation for faster response and issue resolution
  • Improved data analytics and reporting to generate and apply insights as well as identify recurring issues and root causes
  • Overall system integrations with things like ERP, MES, and CMMS

These abilities offer a significant boost to manufacturers in terms of operational efficiency, risk mitigation, workforce development, and cost reduction.

Implementing Digital Layered Process Audits

Manufacturers can digitize LPAs and streamline their quality management processes through AI-powered connected worker technologies, improving data quality and driving faster, more effective quality improvements across the organization.

layered process audit framework

Implementing digital Layered Process Audits (LPAs) involves several steps, from selecting the right platform to engaging the team and ensuring proper integration with existing systems. Below is a step-by-step guide to implementing digital LPAs effectively:

1. Choose the right Digital LPA Platform

Research and select a digital LPA platform that meets your organization’s needs. Consider factors like:

  • Ease of use (especially for mobile devices)
  • Customizability (to fit your audit checklist and process requirements)
  • Integration with existing systems (e.g., ERP, quality management systems)
  • Reporting and analytics capabilities
  • Scalability for future needs

2. Develop and Digitize Audit Checklists

  • Standardize Audit Checklists: Create or review the audit checklists for each layer of the audit process. Ensure they are aligned with your goals, operational requirements, and industry standards (e.g., ISO, IATF).
  • Digitize the Checklists: Input these checklists into the digital platform. Ensure that they are tailored to different levels of the audit process, from shop floor employees to higher-level management.
  • Customize Alerts and Criteria: Set up criteria for success/failure and alerts for non-conformance. This can include conditional triggers where a failed audit automatically prompts corrective actions.

digitized layered process audit LPA with augmentir quality control checklist

3. Integrate with Other Systems

  • Link to Quality Management Systems (QMS): Integrate the LPA platform with your existing QMS, ERP, or other relevant systems to streamline data sharing and analysis.
  • Automate Corrective Action Processes: Ensure that non-conformance findings in the audit automatically trigger corrective action workflows, and link them to task management or follow-up procedures.

4. Monitor, Analyze, and Improve

  • Track Real-time Results: Use the platform’s dashboards and analytics features to monitor performance metrics, such as audit completion rates, non-conformance trends, and the time taken to close corrective actions.
  • Conduct Regular Reviews: Hold periodic review meetings with the audit team and management to discuss audit findings and trends. Use this information to drive continuous improvement in processes.
  • Make Adjustments: Based on the insights from the audits, adjust the audit checklists, procedures, and corrective action plans as needed.

5. Foster a Culture of Continuous Improvement

  • Encourage Engagement: Foster a culture where employees see the value in LPAs and actively participate in the process. Offer incentives or recognition for high levels of engagement or process improvements resulting from audits.
  • Regularly Update the System: Keep the digital platform and audit processes updated to reflect changes in standards, regulations, or internal processes.
  • Leverage Advanced Analytics: Over time, use advanced analytics and machine learning (if available) to predict potential non-conformance areas and further streamline corrective actions.

By following these steps, you can effectively implement a digital Layered Process Audit system that enhances visibility, accountability, and process control across your organization.

Driving Continuous Quality Improvement with Digitized LPAs

Excellence in quality management drives success in manufacturing. Digitizing and updating old processes with AI, connected worker platforms, and even simple digital layered process audit software allows manufacturing organizations to better identify and prevent defects at their source and protect against rework, customer complaints, costly product recalls, and reputational damage.

Recent innovations in AI technology and applications caused an explosion of growth all across the world and in various industries. Manufacturing is uniquely situated to adopt these technologies for massive growth. One valuable use case is the use of AI to optimize quality management, specifically to optimize audit processes like LPAs for drastically improved results and insights that simply weren’t possible previously.

AI analytics combined with connected worker technologies digitize and streamline layered process audits allowing manufacturers to capitalize on data capture for:

  • Trend analysis across different audit layers, departments, and locations
  • Automated population of audit forms with relevant data
  • Seamless creation of digital work instructions from audit findings
  • Application of cobots, generative AI assistants, or AI copilot technologies to support auditors and workers alike.

But this does not stop there, according to a study by McKinsey & Company, companies that prioritize quality management achieve higher levels of employee engagement. Engaged employees are more likely to be committed to producing high-quality products, resulting in increased productivity and customer satisfaction. The addition of AI to capitalize on connected worker data and feedback to generate insights, support enhanced decision-making, and create better processes offers manufacturers a path forward into the future with a better-equipped and supported frontline workforce.

Interested in learning more?

If you’d like to learn more about how Augmentir streamlines and optimizes quality management processes like digital layered process audits and more, schedule a demo with one of our produce experts.

 

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