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Industrial AI for Connected Work

Topic: Connected Workforce

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The first wave of AI on the factory floor didn’t deliver much. General-purpose assistants impressed people in a demo and changed very little about how work actually got done, because they weren’t built for the plant. See how Industrial AI is different by construction: grounded in real plant data, governed and auditable, and built to live inside the workflow rather than in a separate chat window.

 

Manufacturing workers using AI-powered tablet on the factory floor

From Connected Work to Industrial AI

1. Manufacturing’s New Workforce Reality

The talent crisis isn’t coming, it’s already here. Nearly 3 in 10 manufacturing workers are over 55 and expected to retire within the decade, and U.S. manufacturing saw an annualized separation rate of roughly 37% in 2023. See why traditional training, tribal knowledge, and manual skills tracking can no longer keep pace, and why regulators are raising the bar on governed, explainable AI at the same time.

2. Defining the AI-Augmented Worker

The AI-Augmented Worker isn’t a futuristic concept, it’s already changing the floor today. Discover the five ways Poka AI puts intelligence directly into the flow of work: instant knowledge access, guided problem-solving, insight without the analysis burden, translation across 17 languages, and custom agents built around your own operation.

3. Six Strategic Levers: How Industrial AI Delivers Impact

Industrial AI isn’t a layer added on top, it’s embedded directly into the workflows your frontline already uses. Explore the six capabilities transforming standardization, communication, and decision-making on the floor, from turning static SOPs into structured knowledge to connecting Poka across your broader AI ecosystem through MCP.

4. Real-World Results

Forward-thinking manufacturers are already seeing the numbers. One building materials manufacturer produced 591 work instructions in a single week (a 10x acceleration over manual authoring), and Poka customers report gains including 14% productivity, 50% less downtime, and payback in as little as 2.5 months. See the full picture of what an AI-augmented workforce delivers across productivity, safety, and time-to-value.

5. How to Bring Industrial AI to the Factory Floor

You don’t need to transform your whole operation overnight. Follow the five-step path manufacturers are using to start strong and scale fast: centralize operational knowledge, give workers instant answers, augment problem solving, turn data into insight, and extend AI across the operation with custom agents.

6. People-Powered. AI-Enabled.

Poka has spent twelve years building the foundation this runs on: real-time frontline workflow data from thousands of sites, in dozens of languages, captured as the work actually happened. See why Poka believes the future of industrial work isn’t about replacing the people closest to production, it’s about giving them better intelligence when it matters most.