How AI, HR, and operations come together to support frontline workers. Key insights from the HR Happy Hour podcast, featuring Chris Kuntz from Augmentir on skills, training, and connected work.

Augmentir’s VP of Marketing, Chris Kuntz, recently joined Steve Boese on the System of Record podcast from the HR Happy Hour Network to talk about a topic that doesn’t get nearly enough attention: how AI, operations, and HR come together to support the frontline workforce.

hr happy hour podcast with chris kuntz from augmentir

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While much of the AI-at-work conversation focuses on desk and knowledge workers, Chris and Steve shifted the spotlight to the 65% of the workforce who work on factory floors, in distribution centers, and out in the field—and how technology can be used to augment and empower, not replace, them.

Below are the key themes and insights from the conversation.

The Missing Link in Industrial Transformation: People

Chris shared his background in industrial and emerging technologies, including his work helping pioneer Industrial IoT at ThingWorx. After years of making machines smarter and more connected, his team recognized a critical gap in Industry 4.0 and 5.0 initiatives:

Humans were the missing piece.

Frontline workers—despite being essential to safety, quality, and productivity—have historically been underserved by technology. Post-pandemic workforce shifts have only intensified the challenge, with:

  • Shorter average tenure
  • Less experience on the job
  • Higher early attrition rates

These trends make traditional six-month onboarding models unsustainable and force organizations to rethink how they support and develop frontline talent.

Augmentir’s Focus: Closing the Skills and Experience Gap

Founded in 2018, Augmentir is an AI-first connected worker platform designed to address what Chris calls the most critical problem in manufacturing today: the combination of labor shortages, skills gaps, and experience gaps.

Rather than treating frontline technology as just digitized paperwork, Augmentir connects workers directly to the digital thread of the business, integrating:

  • Operational systems (ERP, MES, QMS)
  • Learning and training platforms
  • HR systems and skills data

This creates a single interface where workers are active participants in the digital ecosystem—while giving leaders unprecedented visibility into performance, skills, and improvement opportunities.

From Paper Procedures to Continuous Improvement

Chris described how many industrial processes have historically relied on paper instructions or tribal knowledge. By digitizing standard work and connecting workers digitally, organizations can:

  • Capture real-time performance data
  • Identify skill gaps and training needs
  • Reduce safety incidents, rework, and downtime

Augmentir applies machine learning to analyze hundreds of data points—from task duration to error rates—to surface insights such as:

  • Where individuals may need targeted training
  • Where processes or content need improvement
  • How onboarding and training programs are performing

For plant managers and operations leaders, this replaces backward-looking reports with actionable, real-time decision support.

Worker Empowerment, Not Surveillance

A key part of the discussion focused on worker trust and experience. Chris emphasized that successful connected worker initiatives are grounded in empowerment, not micromanagement.

When frontline employees are involved early in the rollout and change management process, the technology is seen as a tool that:

  • Helps them do their jobs safely and correctly
  • Reduces frustration and guesswork
  • Recognizes and rewards positive behaviors

From reporting safety issues to improving efficiency, these signals also provide valuable engagement insights for HR—bridging a gap that has long existed between HR and operations.

Bridging HR and Operations

One of the most compelling themes was the disconnect between HR systems and day-to-day operations. Skills matrices, certifications, and training data often live in HR tools that operations leaders can’t easily access.

By bringing skills and competency data directly into operational workflows, organizations can:

  • Schedule work based on real capabilities
  • Identify reskilling and upskilling needs
  • Measure the effectiveness of training programs

For HR leaders, this turns training ROI from a “black box” into something measurable and defensible.

The Rise of AI Agents on the Frontline

Chris also shared how Augmentir evolved beyond analytics into AI assistants and agents. From its generative AI factory assistant Augie to emerging agentic use cases, the vision includes:

  • Digital lean coaches
  • Training and skills agents
  • Root cause analysis (“5 Whys”) agents
  • Quality agents
  • Safety agents

Importantly, Augmentir has established clear guardrails—such as human-in-the-loop approvals and deterministic logic for safety-critical tasks—to ensure AI supports workers responsibly; these principles are codified in Augmentir’s Six Laws of Agents.

What’s Next: A Human-Centered Future of Work

Looking ahead, Chris highlighted how leading manufacturers like Colgate-Palmolive and Hershey are creating new roles that blend HR and operations, focused on people capability and performance excellence.

The most exciting trend?

Companies are using technology to make frontline work better—faster onboarding, skills development in the flow of work, higher retention, and a stronger sense of purpose for workers.

By truly aligning people, process, and technology, these organizations are redefining what frontline work can look like.

Listen to the Full Conversation

To hear the full discussion on connecting HR, operations, and AI for the frontline workforce, check out the System of Record podcast on the HR Happy Hour Network.

Request a demo to learn more about Augmentir or connect with Chris Kuntz on LinkedIn to continue the conversation.

 

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Discover how Hershey’s Digital Lean transformation combines lean principles and connected worker technology to empower frontline teams and drive operational excellence.

In an era where digital transformation is reshaping manufacturing, The Hershey Company offers a compelling roadmap for blending traditional lean principles with modern digital technologies. Through its Digital Lean initiative, Hershey is reimagining daily operations — putting frontline workers at the center of change, reinforcing standardized processes, and building a future-ready digital backbone that enables continuous improvement and operational visibility like never before.

digital lean and operational excellence

Building the Foundation for Digital Lean

Hershey’s Digital Lean journey did not begin with new technology — it began with strengthening the basics of lean execution. Before digitizing operations, the company focused on standardizing lean processes across its manufacturing network to ensure consistency in how work was performed and improved.

According to Will Bonifant, VP of Manufacturing, Engineering, and Supply Chain Strategy, the groundwork focused on three key areas:

  • Standardizing and refining core processes so they were truly lean and repeatable before being digitized.
  • Preparing and engaging the workforce early, ensuring employees understood the purpose of Digital Lean and how new tools would support their daily work rather than disrupt it.
  • Creating a connected digital infrastructure that links systems, data, and people across sites, enabling reliable, real-time visibility into operations.

With these elements in place, Hershey was able to move away from manual, disconnected workflows and toward digitally enabled daily management systems. This shift allowed teams at all levels to access consistent information, identify issues faster, and drive continuous improvement more effectively — defining characteristics of a mature Digital Lean approach.

Connected Workers as a Core Enabler of Digital Lean

Digital Lean at Hershey is already delivering value because it is tightly integrated with connected worker capabilities. As part of this approach, front-line teams are equipped to access information seamlessly, collaborate in real time, and execute work through guided, digital workflows that support lean execution at the point of work.

By embedding connected worker technology directly into its Digital Lean program, Hershey ensures that lean insights don’t stay locked in dashboards or reports — they translate into consistent, actionable behaviors on the plant floor. This alignment reinforces accountability, accelerates problem resolution, and supports continuous improvement across operations.

This approach closely aligns with Augmentir’s philosophy: the future of manufacturing is a human + digital synergy, where technology amplifies worker capability, strengthens lean behaviors, and enables people to perform at their best — every day.

What Digital Lean Looks Like on the Floor

Digital Lean at Hershey isn’t just a tech upgrade — it’s a shift in how work gets executed and improved every day:

Empowered Operators

In the past, operators faced slow, fragmented workflows when problems arose. Today, operators can:

  • Log issues directly via mobile devices,
  • See real-time updates as those issues are resolved,
  • Access performance data that helps them own outcomes on the line.

This enhanced visibility not only speeds problem resolution, but also boosts worker autonomy — a core principle of lean maturity.

Leadership Visibility, Real-Time Actions

Supervisors and plant managers gain a unified view of performance and losses from a single dashboard. This transparency allows them to:

  • Identify bottlenecks and losses quickly,
  • Prioritize corrective actions based on real data,
  • Drive continuous improvement across shifts and sites.

The shift toward digital workflows also means that information no longer lives in silos. Everyone — from operators to executives — benefits from the same accurate, timely insights.

Why Digital Lean Matters for Manufacturers

Hershey’s journey highlights several lessons for operations leaders:

  • Value starts with people first. Digital tools deliver impact only when they support equipped, engaged workers.
  • Standardization enables scale. Ensuring processes are lean before digitizing them reduces frustration and drives sustainable improvements.
  • Data unlocks action. Once lean processes are digitized, real-time insights accelerate problem solving and continuous improvement.

By anchoring digital transformation in lean principles, Hershey is proving that operational excellence and digital innovation are not separate pursuits — they’re mutually reinforcing.

Augmentir: Powering Hershey’s Connected Worker Strategy

As Hershey continues to mature its Digital Lean transformation, sustaining continuous improvement at scale requires more than visibility into performance — it requires connecting digital insights directly to frontline execution. To do this, Hershey leverages Augmentir as its connected worker technology, extending Digital Lean from dashboards into daily work on the factory floor.

augmentir connected worker platform for digital lean in manufacturing

Digital Lean provides the foundation by standardizing processes, digitizing daily management, and enabling real-time performance tracking. Augmentir operationalizes that foundation by connecting people, processes, and data at the point of work. Through AI-driven insights, Augmentir delivers personalized guidance, digital work instructions, and contextual support to operators — ensuring the right information reaches the right worker at the right time.

By using Augmentir as part of its Digital Lean ecosystem, Hershey is able to:

  • Translate insights into action by embedding continuous improvement directly into daily workflows.
  • Empower frontline workers with adaptive, skills-based guidance that evolves as experience and conditions change.
  • Reduce variability and reinforce standard work consistently across lines, shifts, and sites.
  • Capture and scale institutional knowledge to support onboarding, upskilling, and long-term operational resilience.

Within Hershey’s Digital Lean journey, Augmentir represents the critical bridge from visibility to execution — ensuring that digital insights don’t remain isolated in systems, but actively guide how work is performed every day.

As manufacturers move beyond digitizing processes toward truly augmenting human performance, Hershey’s use of Augmentir demonstrates how connected worker technology makes Digital Lean sustainable, scalable, and people-centric — turning continuous improvement into a daily habit rather than a periodic initiative.

Hershey’s Digital Lean transformation is a powerful example of how digital technologies — built on a solid lean foundation — can enhance operational agility, empower frontline workers, and drive measurable business value. As manufacturers navigate the next wave of digital disruption, the key takeaway is clear: start with people and processes, then scale with technology.

 

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FAQs About Digital Lean in Manufacturing

 

  • What is Digital Lean in manufacturing?

    Digital Lean in manufacturing is the integration of traditional lean principles with digital technologies to improve daily operations, visibility, and continuous improvement. It focuses on standardizing processes, digitizing daily management, and empowering frontline workers with real-time data. Platforms like Augmentir make Digital Lean actionable by connecting lean insights directly to frontline execution through AI-driven work instructions, guided workflows, and connected worker tools.

  • How does Digital Lean improve operational excellence?

    Digital Lean improves operational excellence by eliminating manual processes, increasing real-time visibility, and enabling faster problem resolution across the factory floor. When combined with connected worker technology like Augmentir, Digital Lean ensures that insights from dashboards and performance systems are embedded directly into daily work—helping operators, supervisors, and leaders drive consistent, measurable improvement.

  • Why are connected workers essential to Digital Lean success?

    Connected workers are essential to Digital Lean because lean execution happens at the point of work.

    Without connected workers:

    • Insights stay in dashboards
    • Standard work becomes inconsistent

    Augmentir connects workers by delivering real-time guidance, digital standard work, and collaboration tools—ensuring lean behaviors turn into daily action.

  • How does Augmentir support Digital Lean on the factory floor?

    Augmentir supports Digital Lean by turning standardized lean processes into guided digital execution.

    It enables manufacturers to:

    • Deliver AI-powered work instructions
    • Provide contextual, skills-based guidance
    • Reduce variability and errors

    This bridges the gap between Digital Lean visibility and frontline execution.

  • What can manufacturers learn from Hershey’s Digital Lean journey?

    Hershey’s Digital Lean journey shows that successful transformation starts with people and processes.

    Key lessons include:

    • Standardize lean before digitizing
    • Empower frontline teams
    • Embed improvement into daily work

    By using Augmentir, Hershey ensures Digital Lean insights drive real action at scale.

In a recent write-up, Tech-Clarity highlighted how Augmentir is addressing one of manufacturing’s most pressing challenges: enabling a smaller, less experienced frontline workforce to perform at a higher level with intelligent systems and AI agents that operate as “digital workers” alongside human workers on the factory floor.

When respected industry analysts take notice, it’s a strong signal that something meaningful is happening in the market. In a recent write-up, Tech-Clarity highlighted how Augmentir is addressing one of manufacturing’s most pressing challenges: enabling a smaller, less experienced frontline workforce to perform at a higher level with intelligent systems and AI agents that operate as “digital workers” alongside human workers on the factory floor.

industrial ai agents with augmentir

The analysis points to Augmentir’s expanding use of machine learning, generative AI, and agentic AI as key differentiators—driving measurable gains in productivity, training effectiveness, and continuous improvement across global operations.

A Single Pane of Glass for the Frontline

At the core of Augmentir’s approach is a simple but powerful concept: give frontline workers exactly what they need, when they need it—no more, no less. Tech-Clarity notes that Augmentir delivers this through a single, contextual interface that integrates with a broad ecosystem of plant and enterprise systems.

augmentir is the single pane of glass for frontline operations

 

The platform supports the full spectrum of connected worker needs, including:

  • Digital work instructions and content authoring
  • Skills matrices and knowledge sharing
  • Contextual, personalized training delivered in the flow of work
  • AI Agents that act as “digital workers” within the connected worker platform – operating alongside human frontline workers
  • Embedded analytics and reporting, including Microsoft Power BI

Because Augmentir’s founders come from an augmented reality background, immersive and experiential learning is a native part of the platform rather than an afterthought.

Closing the Loop with True Insights™

What truly differentiates Augmentir, according to Tech-Clarity, is how it closes the loop between frontline execution and continuous improvement. As work is performed, the platform applies machine-learning–driven AI to analyze operational data across tasks, machines, individuals, and cohorts.

These insights—what Augmentir calls True Insights™—surface where performance breaks down and where improvement efforts will have the greatest impact. This could mean refining instructions, improving process efficiency, enhancing safety, or delivering targeted training exactly where it’s needed.

on the job training ojt with augmentir ai agents

Rather than static reporting, Augmentir continuously learns from real work being done on the shop floor.

Expanding into Agentic AI

In early 2025, Augmentir introduced its Industrial AI Agent Studio, building on its existing GenAI assistant, Augie. Tech-Clarity highlights this as a major step forward, enabling customers to create custom, no-code AI agents tailored to their unique operational needs.

industrial ai agent studio - build custom ai agents for manufacturing

These agents extend Augmentir’s capabilities with autonomous digital workers that support key frontline use cases:

  • Digital Lean Coach: AI agents that fill the role of a Lean coach, helping accelerate lean transformation initiatives.
  • Adaptive Training and Skills Management: AI agents that can act on frontline workers’ skills and training data to support frontline managers by identifying strengths and weaknesses, skills gaps, and recommend training paths.
  • Operations: Operational agents that support more proactive KPI tracking, unparalleled visibility across Operations, Continuous Improvement, and TPM.
  • Safety: AI agents that automatically analyze safety data and activities to provide early warning notifications.
  • Proactive Maintenance Execution: Agents that monitor equipment health and integrate with CMMS to trigger work orders, report issues, or initiate preventive maintenance tasks before failures occur.

Built-In Governance with the 6 Laws of AI Agents

Tech-Clarity also praised Augmentir’s thoughtful approach to AI governance. The platform embeds the company’s 6 Laws of AI Agents, ensuring safety, transparency, and accountability as customers deploy AI at scale:

  1. Transparency in execution
  2. Clear human ownership
  3. AI origin disclosure
  4. Persistent AI disclosure
  5. Human-in-the-loop for impactful actions
  6. No generative AI for life-critical actions

These principles are especially important for industrial environments where trust, safety, and compliance are non-negotiable.

Proven Customer Value at Scale

With customers in more than 70 countries across industries such as food & beverage, pharmaceuticals, chemicals, CPG, and industrial equipment, Augmentir’s impact is already measurable.

Tech-Clarity highlights results reported by customers, including:

  • Up to 31% efficiency gains when standard work is consistently followed
  • 82% reduction in onboarding time, even amid high employee turnover
  • Faster issue resolution and reduced downtime
  • Over 5 million optimized time-and-motion studies conducted on the platform

Notably, Tech-Clarity points out that customers see a 250%–400% performance delta when comparing Augmentir’s AI-driven approach to earlier-generation or non-AI connected worker solutions.

Tech-Clarity’s Take

In their closing assessment, Tech-Clarity emphasizes that Augmentir’s comprehensive use of AI—combined with real operational feedback loops—makes it particularly well suited for organizations looking to accelerate continuous improvement, not just digitize instructions.

They also note that Augmentir’s experienced founding team and growing roster of global enterprise customers speak volumes about market confidence in both the company and its platform.

As Tech-Clarity concludes, organizations evaluating connected frontline worker solutions would be well served to take a close look at Augmentir—and where it’s taking the future of industrial work.

 

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Discover how AI Factory Agents from Augmentir are transforming manufacturing with real-time insights, automation, and workforce augmentation.

In the evolving landscape of Industry 4.0, popularized by Klaus Schwab, and now Industry 5.0, manufacturers are under increasing pressure to become more agile, resilient, and efficient. Amid labor shortages, shifting customer expectations, and digital disruption, one of the most transformative tools emerging is Factory Agents: smart, context-aware AI agents capable of autonomously performing tasks, surfacing insights, and augmenting human decision-making.

a digital factory agent in manufacturing

What are Factory Agents?

Factory agents are not physical robots, nor are they just software scripts. They’re intelligent, digital workers — powered by AI — that act on behalf of manufacturing teams to interpret data, automate actions, and optimize workflows. They serve as proactive copilots on the shop floor, embedded into the frontline work environment, continuously learning from human activity and contextual factory data to provide real-time support and operational insights.

These agents can assist with:

  • Recommending optimized workflows
  • Identifying skill gaps or training needs for frontline workers
  • Monitoring process performance and flagging anomalies
  • Automatically capturing tribal knowledge
  • Personalizing work instructions based on the worker’s experience and certification level

In short, factory agents bridge the gap between human intelligence and machine efficiency on the shop floor — and Augmentir is leading the charge.

Augmentir’s AI Agent Studio: Manufacturing Intelligence Made Easy

While agentic AI the concept of AI agents has existed in other sectors, Augmentir is the first to bring a no-code Industrial AI Agent Studio purpose-built for manufacturing. This unique platform allows operations leaders, supervisors, and even non-technical users to create and deploy custom AI agents tailored to specific needs across:

  • Workforce onboarding and training
  • Maintenance and repair operations (MRO)
  • Quality assurance
  • Safety procedures
  • Performance monitoring

industrial ai agent studio - build custom ai agents with augmentir

These agents are powered by proprietary algorithms and generative AI that continuously learn from your workforce and operations data. That means over time, the agents get smarter — making increasingly precise recommendations, automating more tasks, and reducing variability across the shop floor.

The result? An adaptive, intelligent frontline that can respond dynamically to production demands, labor variability, and skill shortages.

Meet Augie: The Face of Next-Gen Industrial AI

At the core of Augmentir’s AI capabilities is Augie — an Industrial Generative AI assistant built specifically for frontline manufacturing environments. Augie acts like a real-time guide and operational partner for shop floor workers, supervisors, and even plant managers.

Here’s what makes Augie different:

  • Context-aware assistance: Augie understands the unique context of your operation — such as a specific piece of equipment, a shift schedule, or a worker’s skill level — to tailor guidance appropriately.
  • Conversational interface: Workers can interact with Augie naturally through chat, enabling real-time Q&A, issue resolution, or step-by-step guidance.
  • Continuous learning: As workers interact with Augie, it learns and improves, capturing undocumented knowledge and institutionalizing best practices across the organization.

industrial ai agent studio operations analyst

Rather than replacing workers, Augie amplifies their capabilities, making everyone on the shop floor more confident, capable, and productive.

Real-World Impact: Augmentir in Action

Companies using Augmentir have reported measurable improvements across multiple KPIs:

  • 20–40% reduction in training time by personalizing learning to individual skill levels
  • 30% improvement in first-time quality through smarter digital work instructions
  • 25% gain in workforce productivity due to real-time guidance and fewer delays
  • Stronger worker retention through empowered learning and growth pathways

In a time when manufacturers are grappling with a skills gap, labor shortages, and increased demand for agility, these outcomes are game-changers.

Why Factory Agents Are Defining the Future of Industrial Work

The traditional shop floor has been defined by rigid systems and static processes. But today’s manufacturers need more flexibility — they need systems that adapt to shifting demand, dynamic labor pools, and constant process change.

AI factory agents offer this adaptability and with Augmentir’s Industrial AI platform, manufacturers can unlock this potential without a massive overhaul or technical burden.

Factory agents represent a new class of industrial tools — intelligent, autonomous, and human-centric. As the first platform to bring this vision to life, Augmentir is not just building tools, but reshaping how manufacturing work gets done.

With Augie and the AI Agent Studio, Augmentir is helping manufacturers step into a new era of operational excellence — where the frontline is not just automated, but truly augmented.

Learn more about how Augmentir’s AI shop floor agents can modernize your operations – contact us today for a live demo.

 

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The Hershey Company is redefining the role of the frontline worker through digital transformation — not by replacing people with technology, but by empowering people through technology.

At the recent Connected Worker Summit in Chicago, The Hershey Company shared how it’s redefining the role of the frontline worker through digital transformation — not by replacing people with technology, but by empowering people through technology.

chocolate production line with connected worker

An article in FoodProcessing.com spotlights Hershey’s digital transformation — and we’re honored to be their partner on this connected worker journey. Powered by our Connected Worker Platform, this transformation is helping Hershey connect, support, and engage its workforce like never before.

Hershey’s Approach: People First, Technology Second

Logan McNear, Digital Manufacturing Program Lead at Hershey, emphasized a fundamental truth: digital transformation only succeeds when it starts with the people doing the work.

That philosophy guided Hershey’s decade-long lean transformation and its shift toward a more digital factory environment. Rather than imposing new tools from the top down, Hershey involves operators directly in the design and implementation of digital solutions — giving them ownership of both the process and the outcome.

This human-centered approach ensures that technology doesn’t just automate or monitor — it enhances capability, engagement, and pride.

Data That Empowers, Not Overwhelms

One of the most compelling stories McNear shared was about a packaging-line operator who wasn’t especially technical. With new connected worker tools, she gained easy access to:

  • Shift performance data
  • Previous shift hand-off information
  • Simple maintenance request tools

Armed with this data, she could proactively manage performance and coordinate with other teams. Within weeks, she took pride in leading the best-performing shift on her line.

This example captures what the connected worker is all about — giving every operator real-time insights that drive ownership, performance, and engagement.

McNear summed it up perfectly:

“If we could just get a piece of that from every operator — that they’re looking at data, they’re connecting it to the problems on the floor and connecting it to the right people to solve those problems — we’d be in a whole different era of production and a different level of digital engagement.”

The Role of Augmentir in Hershey’s Transformation

Behind the scenes, Augmentir’s AI-powered Connected Worker Platform — including intelligent AI Agents — is enabling these very outcomes.

Our technology helps companies like Hershey deliver:

  • Personalized, digital workflows that guide workers through tasks with step-by-step instructions and embedded insights, adapting dynamically based on worker skill level, context, and performance.
  • Real-time data capture from the point of work, ensuring frontline actions feed directly into continuous improvement initiatives and organizational learning.
  • Connected insights across shifts, lines, and sites, enabling teams to identify trends, uncover root causes, and pinpoint where coaching or process improvements will have the greatest impact.
  • AI Agents that act on operational data and insights, proactively surfacing issues, recommending interventions, and automating follow-up actions to streamline operations and accelerate continuous improvement.
  • Worker-centric analytics powered by Augmentir’s AI, helping manufacturers understand how work actually gets done and where targeted support, training, or process changes are needed most.

By focusing on people enablement rather than process enforcement, Augmentir transforms digital tools into intelligent, action-oriented systems — turning insight into impact and driving sustained engagement and operational excellence, as Hershey’s story demonstrates.

Lessons from Hershey’s Connected Worker Journey

Hershey’s experience offers a roadmap for manufacturers looking to empower their own frontline teams:

  • Start with your people. Engage operators early and give them a voice in designing digital tools.
  • Deliver data with purpose. Ensure information helps workers make decisions, not just report them.
  • Combine lean thinking with digital agility. Use connected worker insights to accelerate continuous improvement.
  • Celebrate empowerment as success. True transformation happens when operators feel ownership — not oversight.

Closing Thoughts

The Hershey story is proof that the future of manufacturing is human + digital — not one or the other.

By combining lean principles with Augmentir’s connected worker technology, Hershey is unlocking new levels of engagement, performance, and pride across its operations.

At Augmentir, we’re proud to help leading manufacturers like Hershey turn the “connected worker” vision into a daily reality — where every worker is informed, supported, and connected.

 

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Augmentir and UKG are working together to create a digitally connected frontline workforce that is shaping the future of work in manufacturing.

In manufacturing, success isn’t just about machines—it’s about people. But here’s the problem: workforce skills tracking and daily work execution have been handled separately for too long. The result? Misassigned tasks, skills gaps, slower production, and higher error rates.

future of work in manufacturing with UKG and Augmentir

The solution? Modernizing workforce management by digitally connecting frontline workers with AI-powered skills management and connected worker technology.

Together, Augmentir and UKG are delivering this solution to manufacturing companies around the world. Read on to discover how Augmentir and UKG are working together to create more productive, more engaged workforces in manufacturing.

Workforce Management for Modern Manufacturing Operations

Think of it like peanut butter and jelly: great on their own, but unstoppable together. When manufacturers sync traditional workforce management with AI-powered connected worker technology, they unlock huge benefits:

UKG’s leading workforce management solution, combined with Augmentir’s AI-powered connected worker platform empowers manufacturing companies to optimize labor efficiency, streamline scheduling, reduce mistakes, and ensure compliance, all while boosting productivity on the production floor.

Manufacturing organizations that utilize both Augmentir and UKG Pro Workforce Management™ can benefit from connecting time and attendance, scheduling, and workforce data with Augmentir’s connected worker platform. Through this new integration, manufacturers can gain visibility into real-time, accurate employee information and skills tracking combined with AI-driven insights into work performance. By doing so, manufacturers can improve workforce efficiency and productivity and deliver more impactful training and support for frontline workers.

  • Right worker, right job – Workers are assigned tasks based on real-time skill assessments.
  • Training in the flow of work – No need to step away from production; learning happens in real time
  • Faster onboarding – New hires get up to speed quicker with AI-driven, step-by-step guidance.
  • Fewer mistakes, higher efficiency – Workers get exactly the information they need, when they need it.
  • Continuous upskilling – As employees complete tasks, their skills profiles automatically update.
  • Smarter capacity planning – Give production teams improved capacity planning and a better decision support tool for daily workforce scheduling and management. Proactively look ahead and see coverage gaps based on employee scheduling.

assign frontline work based on skills

 

Augmentir’s UKG connector streamlines the flow of employee data into Augmentir, providing operations leaders and plant managers with valuable insights into worker availability, productivity, training effectiveness, and more. This gives production teams improved capacity planning and a better decision support tool for daily workforce scheduling and management.

Gone are the days of outdated skills databases and generic training programs. Today, learning happens on the job, in the moment, and at the worker’s fingertips. Manufacturers can provide personalized on-the-job support to employees through Augmentir’s digital guidance, bringing training in the flow of work and alleviating potential skills gaps.

The Future of Training: Learning in the Flow of Work

Traditional workforce training methods are outdated. Long classroom sessions, dense manuals, and generic training modules don’t cut it anymore—especially in fast-paced manufacturing environments. Workers need real-time, task-specific guidance to build skills and stay productive.

That’s where embedded training comes in. Instead of separating learning from work, Augmentir enables:

  • Just-in-time training – Employees learn exactly what they need, right when they need it.
  • Mobile, interactive work instructions – Step-by-step guidance delivered on the shop floor.
  • Skills-based task assignments – Workers are matched to jobs they’re qualified for, with training baked in.
  • Continuous learning & upskilling – As workers complete tasks, their skills profiles evolve, keeping pace with job demands.

manufacturing workforce management and training development with connected worker software

This approach not only accelerates onboarding but also reduces downtime, improves accuracy, and keeps workers engaged—all while production continues at full speed.

How Augmentir and UKG are Shaping the Future of Work in Manufacturing

Augmentir’s AI-powered connected worker platform makes skills integration effortless. By delivering smart, adaptive digital work instructions, Augmentir ensures that:

  • Workers receive personalized guidance based on their experience level.
  • Skills data stays fresh, automatically updating as tasks are completed.
  • Training gaps are filled in real time, keeping production smooth and efficient.
  • Supervisors have full visibility into workforce capabilities and gaps.

For manufacturers like Armstrong World Industries (AWI), this has been a game-changer. Facing workforce shortages and declining tenure rates, AWI needed a way to ensure workers had access to the right information at the right time. By adopting Augmentir, AWI empowered its frontline workers to operate equipment, troubleshoot issues, and execute tasks with confidence—all through a single, mobile interface.

The Power of the UKG + Augmentir Partnership

The digital transformation of today’s manufacturing workforce doesn’t stop with Augmentir alone. The partnership between UKG and Augmentir takes workforce optimization to the next level.

By combining UKG’s workforce data (scheduling, time tracking, and HR insights) with Augmentir’s AI-driven skills tracking and adaptive work instructions, companies can:

  • Schedule workers smarter – Assign shifts based on real-time skill levels.
  • Close skills gaps faster – Proactively upskill employees before gaps cause production delays.
  • Improve retention & engagement – Give workers clear paths for career growth and skill development.
  • Boost operational efficiency – Match the right person to the right job, every time.

This isn’t just about automation—it’s about empowering people. When employees have the skills, training, and resources they need in the flow of work, they stay longer, perform better, and drive business success.

Bottom Line? Augmentir + UKG = The Future of Work in Manufacturing

The manufacturers that integrate digital skills tracking with connected worker technology that supports daily operations will be the ones that thrive in an era of workforce disruption. Augmentir and UKG are making it happen – helping companies close skill gaps, improve efficiency, and build a workforce that’s future-ready.

 

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Discover how Connected Worker platforms like Augmentir are transforming safety compliance in manufacturing and industrial sectors. From digitized SOPs to AI-powered insights, learn 5 powerful ways to improve EH&S.

In industries like manufacturing, energy, pharmaceuticals, and construction, Environmental, Health & Safety (EH&S) is not just a regulatory requirement—it’s central to operational integrity, workforce well-being, and brand trust. Yet many organizations still rely on outdated paper processes, static training programs, and fragmented safety communication systems.

connected worker technology for ehs safety compliance

As digital transformation accelerates across frontline operations, a new class of solutions is emerging: Connected Worker platforms. These tools empower industrial workers with mobile access to the information, training, and communication they need—exactly when and where they need it. When integrated into EH&S programs, they don’t just make safety easier to manage—they make it smarter, more scalable, and more resilient.

Backed by AI and real-time data, platforms like Augmentir are helping companies move from reactive safety management to proactive risk prevention.

Here are the top 5 ways Connected Worker tools are improving safety compliance in 2025 and beyond:

1. Digitizing and Standardizing Safety Procedures

Outdated SOPs, missing forms, manual permit to work processes, and inconsistent training delivery can all lead to non-compliance and unsafe conditions. Connected Worker tools eliminate these gaps by fully digitizing safety workflows—creating a single source of truth for the entire workforce.

connected worker safe work permit compliance

Whether it’s a job safety analysis, equipment inspection, permit to work, or Lockout Tagout (LOTO) checklist, mobile connected worker applications ensure every worker has access to real-time, validated instructions. No printing. No ambiguity. Just operational consistency.

Impact: Reduced procedural deviations, increased inspection completion rates, and simplified regulatory reporting.

2. Real-Time Communication of Hazards and Safety Updates

Many industrial incidents are the result of slow or ineffective communication. Connected Worker platforms enhance situational awareness by enabling real-time messaging, collaboration, alerts, and escalation workflows.

collaboration with connected worker platforms

If an unexpected hazard arises—say, a chemical leak or equipment fault—managers can instantly notify affected personnel, reroute workflows, or push emergency protocols. Workers, in turn, can report near misses, unsafe conditions, or noncompliance through voice commands, forms, or photos directly from the floor.

Result: A faster, closed-loop system for identifying and addressing safety risks before they escalate.

3. Delivering Embedded, Adaptive Safety Training

Traditional EH&S training is periodic, generic, and disconnected from actual work. In contrast, Connected Worker tools bring adaptive, on-demand microlearning directly into the flow of work.

connected worker technology for safety compliance

Using Augmentir’s AI-powered connected worker platform, safety refreshers, toolbox talks, and task-specific training modules are delivered at the point of need—tailored to the worker’s skill level, recent behavior, or even risk profile.

Why it matters: Personalized safety education builds long-term retention and reduces costly retraining cycles.

4. Automating Safety Documentation and Compliance Readiness

Compliance is only as strong as its documentation. But manual reporting systems often result in incomplete records, delayed submissions, or errors that surface during audits.

Connected Worker platforms solve this by automatically capturing who did what, when, and how—across inspections, sign-offs, observations, and more. Every action is time-stamped, traceable, and ready for regulatory review, whether you’re governed by OSHA, ISO 45001, or industry-specific protocols.

Compliance advantage: Be audit-ready in minutes, not months.

5. Unlocking Predictive Safety Insights Through AI

EH&S leaders need to do more than react—they need to predict. With Connected Worker platforms, operational data becomes a strategic asset. Augmentir uses AI and machine learning to analyze safety behaviors, flag leading indicators of risk, and recommend interventions—before incidents occur.

This includes identifying trends such as repeated safety violations on a particular shift, increasing near-misses on certain equipment, or declining task proficiency in a subgroup of workers.

Forward-looking benefit: Transition from lagging indicators (like incident rates) to leading indicators that drive a culture of safety excellence.

How Augmentir is Revolutionizing Safety Compliance

Augmentir’s platform is at the forefront of transforming how industrial companies manage EH&S. By embedding safety into daily operations, it helps organizations go beyond compliance to create a culture of safety ownership.

Key innovations Augmentir brings to safety compliance:

  • AI-driven Safety Intelligence: Augmentir’s AI identifies risk trends across tasks, teams, and sites, helping safety leaders implement targeted improvements.
  • Smart Workflows: Every safety-critical task is embedded into digital workflows that adapt to individual performance and conditions in real time.
  • Continuous Worker Feedback: Built-in feedback loops ensure workers can raise issues, suggest improvements, and stay engaged with safety practices.
  • Performance-Linked Safety Coaching: Augmentir correlates safety metrics with individual skill profiles, prompting personalized coaching to address gaps before they become incidents.

Augmentir doesn’t just digitize safety—it makes it dynamic, intelligent, and fully integrated with operational execution. As a result, companies can achieve higher compliance rates, fewer incidents, and a more empowered frontline workforce.

Final Thoughts: EH&S in the Connected Era

LNS Research, a thought leader in the industrial space, recently identified EH&S as one of the most strategic areas impacted by Connected Worker technologies. As expectations rise—for safety, sustainability, and operational agility—the need to modernize your EH&S approach becomes non-negotiable.

Augmentir’s Connected Worker platform enables industrial companies to embed safety into every task, every worker, and every workflow. It’s time to stop managing safety in silos and start integrating it into the core of your operations.

Let’s talk: Request a demo to see how Augmentir can elevate your EH&S strategy.

 

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Recap of Chris Kuntz’s session at MD&M East 2025 on how AI copilots and AI agents are transforming manufacturing—from enhancing workforce capabilities to enabling autonomous operations.

At this year’s MD&M East, formerly IME East 2025, Augmentir took center stage as Chris Kuntz, VP of Strategic Operations, delivered a powerful presentation on the transformative role of AI Copilots and AI Agents in manufacturing.

Chris Kuntz, Vice President of Strategic Operations at Augmentir, speaking on AI Copilots and AI Agents in Manufacturing at MD&M East 2025

Read below for a brief recap of the presentation, as well as a video recording of the presentation.

Addressing the Workforce Crisis with AI

Chris opened with a sobering reality: even if every skilled worker in the U.S. were employed, 35% more manufacturing jobs would remain unfilled. Citing a $1 trillion annual opportunity cost by 2030 (Deloitte), Chris emphasized that traditional workforce strategies aren’t enough—and the time for intelligent automation and workforce augmentation is now.

workforce crisis in manufacturing and the opportunity for ai agents and ai copilots

Key Highlights from the Presentation

The Rise of AI Copilots and AI Agents

Chris introduced AI Copilots as conversational tools powered by LLMs, providing contextual, real-time support to workers. AI Agents, on the other hand, are autonomous systems that execute complex tasks independently—reducing friction, downtime, and manual inefficiencies.

The Augmented Connected Worker

At the heart of the talk was Augmentir’s Connected Worker technology—a framework that brings together:

  • AI-powered guidance and support to help frontline workers perform tasks more efficiently, safely, and accurately.
  • Real-time data capture and insights that drive continuous improvement across operations, training, and workforce performance.
  • A unified digital platform that connects people, processes, and systems to enable scalable workforce transformation in manufacturing.

6 Game-Changing Use Cases

Chris walked attendees through six real-world use cases—showing how Augmentir and Augie are delivering measurable outcomes for manufacturers:

  • Content Assistant – 76% faster digitization of SOPs and training docs
  • Work & Training Assistant – 82% reduced onboarding time
  • Image Comparison – Improved inspection accuracy, reduced rework
  • Skills & Training AI Agent – On-demand learning and certification
  • Operations Agent – Real-time troubleshooting support
  • Corporate Knowledge Graphs – Smarter access to institutional knowledge

Case studies from leading packaging and beverage companies added real-world credibility, demonstrating how organizations are scaling faster while minimizing downtime and safety incidents.

Video Recording

 

Full Transcript

My name is Chris Kuntz. I’m with an AI company called Augmentir, and we provide connected worker software for frontline workers in manufacturing. Today what I’ll be talking about is artificial intelligence, which in many ways has taken over the media, and become a major part of our lives, but I want to talk about it in the context of manufacturing and specifically talk about generative AI assistants and AI agents that can be used in manufacturing to help guide and support today’s frontline workers.

So just a quick 30 seconds on Augmentir and who we are as a company. We’re a relatively young company, founded in 2018, but we have a pretty deep history in innovative software and manufacturing, dating back to the late 1980s. The founders of Augmentir were the same industry innovators that founded Wonderware in 1987, which revolutionized HMI software in factories. Wonderware went public and is now part of AVEVA/Schneider Electric. We were the founders of Lighthammer, which is now part of SAP’s MII offering. And we were the founders of ThingWorx, which is now part of PTC and revolutionized the Industrial Internet of Things space. And when we left PTC, the team got back together again and we wanted to focus on tackling what we considered to be the next big problem in manufacturing at the time, which was the human worker.

If you think about AI and how it’s been, automation and how AI has optimized production lines, really the last mile for driving efficiency in manufacturing is the human worker. And even more apparent over the past five years since the pandemic, the labor shortage, the skilled labor shortage has created dramatic impacts on product quality, product efficiency, and overall throughput in manufacturing. And so our goal at Augmentir was to tackle that.

So let’s start this conversation by talking about AI and the history of AI in manufacturing. And it dates back to the 1960s. AI has been used in automation in manufacturing for decades now. It’s been used to drive incredible levels of efficiency. It’s been used in machine vision systems for quality improvements. And you see that you, when you walk around, manufacturing trade shows like this, it’s been used in warehouse in warehousing automation, and more recently, it’s been used in the industrial internet of things, digitally connecting equipment and using AI to analyze the data that is coming off of that equipment to drive greater efficiencies in production, production efficiency in manufacturing. But a common theme across all of this is up to this point, AI has been used to replace the human worker or to optimize manual labor or manual efforts that humans were doing in factories, previously. AI has a unique opportunity, specifically around generative AI co-pilots, if you think ChatGPT or AI agents, is to augment the human worker, not replace them.

And so the question we asked ourselves at Augmentir, when we started, was, can AI do the same for humans? Can AI drive efficiency for the humans that are still on the shop floor in manufacturing, quality, engineering, and maintenance roles and in equipment operation. More importantly, in maintenance, can AI be used to optimize the work that they’re doing? And why now?Here are some statistics from a report that LNS Research, an analyst firm based out of Boston ran last year on the future of industrial work. Pretty fascinating statistics. When they look at the average tenure rate in manufacturing, 2019 compared to the end of last year. So from 20 years to three years, the average time and position went down from seven years to nine months, and the average three-month retention rate, the rate at which people stay in after the first three months, from 90% down to 50%. So the problem you have in manufacturing today is yes, there’s a labor shortage, yes, it is difficult to find skilled labor, but because humans are required in manufacturing, what organizations are doing is hiring less skilled workers. And now you have a problem that’s really twofold on the shop floor. You have less experienced workers that also have less experience or less skilled workers, also have less experience. And that results in safety issues, quality issues, product recalls, downtime, everything possible that you can imagine that relates to human error in or on a factory floor.

In this survey, from LNS, the respondents, 92% of them said they were looking at technology as a way to offset that skilled labor gap. Now, it’s not the only solution, certainly there are better hiring strategies, better training strategies, but certainly looking at technology as a big piece of offsetting that labor crisis. Just another statistic here from a study in Deloitte, even if every skilled worker, and this is just in America, even if every skilled worker was employed, there would still be a 35% gap in unfilled job openings in manufacturing. That’s how bad it is. And so Deloitte predicts by 2030, that it’s a $1 trillion problem in the US alone. And I think they forecasted $3 trillion globally, a problem that exists for production output and manufacturing.

So that brings us to what we’re talking about here today, AI agents and co-pilots. Everyone here has used ChatGPT or Gemini or Perplexity or whatever, chatbot you want to use today, fantastic results and fantastic opportunities when you think about consumer AI, but what I want to do is talk about the context of AI assistance, as well as agents, which there’s some blurring of the line there, but we’ll talk about that, and their applicability in industrial operations and why it’s quite a bit different from consumer AI.

So what is an AI co-pilot? Best example is ChatGPT, right? We’ve all used it. Natural language interface, the ability to use what they call a large language model, LLM, for those of you that might not be as technical, which has the ability for that agent or that assistant to understand vast amounts of data and it provides context assistance to users. On the flip side, what is an agent? An agent is an AI bot that acts more autonomously. They can operate based on a prompt like you would have with ChatGPT, but they don’t have to. So they can actually take autonomous action based on instructions you give it. Now, when you think about it, I’m going to use ChatGPT as an example today because I think we’ve all probably used it or used something similar. They’re starting to blur the lines a little bit with their, I think they’re calling it the ChatGPT operator, so that’s starting to blur the lines between autonomous and strictly prompt-based AI. But the idea is the same in the context of today, what we’re talking about in terms of an AI co-pilot or an assistant that is a prompt-based bot that that a user might be using. And from an agent standpoint, it is something that can act more autonomously. And a prerequisite to all this, when you think about manufacturing and you think about frontline workers, whether they are working in safety, quality, equipment and machine maintenance and repair or equipment operation, a prerequisite to all this is the ability to have a connected worker.

And by connected worker, what we like to talk about at Augmentir is a worker that is not only connected with a digital or a mobile tool, like a phone, a tablet, a wearable technology, a wearable augmented reality-based headset, for example, but also digitally connected into the business. So using that interface to not just connect them physically with a device, but connect them into HR systems, learning management systems, ERP systems, quality systems, and safety systems, systems that they use every day. But now that they’re connected, they can become human sensors on the shop floor. And there’s a vast amount of data that we can then capitalize on here, and AI can then act on.

So what I want to do now is talk about consumer AI, again, the example of ChatGPT compared to industrial AI. And in the case of today, I’m going to give some examples of manufacturing companies that are actually using this technology today. But when you think about industrial operations, you have to think quite a bit differently than how we might use Gemini or ChatGPT today. So I’m just going to walk through an example here. You have a frontline worker, an operator on a manufacturing floor, and their job every day is to operate the mixer. Okay? Part of their job is also to periodically do a clean, inspect, and lubricate on that piece of equipment, so it doesn’t go down or so that they can prevent failures from happening. So that’s a CIL. So now go back to the context that I started this conversation with. Let’s say you have a less experienced worker, maybe they are a novice worker.

 

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