Rockwell Automation AI’s Power for Sustainable Manufacturing
Sustainability, once a rarely discussed concept just a few decades ago, has become one of the most urgent challenges facing the world today.
As global demand for sustainable solutions rises in every sector, businesses are increasingly turning to AI to unlock new ways to address these challenges.
From saving thousands of tons of CO₂ every year, to detecting diseases in agriculture, AI is now accelerating sustainability goals big and small.
Each sector faces different sustainability challenges, but manufacturing is one of the most challenging industries to make sustainable – and this is where Andrea Ruotolo comes in.
As the Global Head of Customer Sustainability at Rockwell Automation, the industrial automation and digital transformation company, she leads initiatives that embed sustainability into manufacturing operations.
Focused on bridging advanced technology with environmental impact, she helps companies reduce their environmental footprint by using industrial automation, AI and data analytics – improving enterprises’ operational performance and profitability.
“AI has revolutionised our sustainability efforts by enabling smarter, real-time decision-making,” she says.
What makes Rockwell Automation’s approach to AI for sustainability unique?
Rockwell Automation doesn’t just use technologies, but creates them to connect people, processes and machines to make industries more intelligent and sustainable.
This holistic approach serves manufacturers across diverse sectors, from automotive to food production.
Andrea operates at a personal level, working closely with customers to translate complex sustainability trends into actionable business value, including reducing emissions, improving energy efficiency and optimising resources use across industrial operations.
Taking her passion further, she also serves as President for Canada on the Global Council for Responsible AI. This international body comprises experts and policymakers working to ensure AI development aligns with ethical and sustainable standards.
She has also contributed to the Responsible AI Institute’s white paper ‘Bridging the Gap: The Confluence of AI and ESG in a Responsible World’, which advocates for integrating AI with environmental, social and governance frameworks.
“At the intersection of digital transformation and environmental stewardship, my work is about shaping the future of industry,” she explains.
With a broad approach to sustainability, Andrea focuses on enabling industrial operations that are smart, connected, responsible and resilient. This philosophy fuels the development of AI-powered sustainability solutions.
Furthermore, the company’s AI tools are built into and integrate with its industrial automation systems.
What’s special about these tools is that they allow manufacturers to predict equipment failures, reduce downtime and cut waste and energy usage across production lines.
The sustainable power of predictive analytics
Rockwell’s FactoryTalk® Analytics™ LogixAI® is an advancement in manufacturing intelligence, because it embeds machine learning (ML) directly into Allen-Bradley® ControlLogix® and CompactLogix® controllers, enabling real-time predictive analytics without requiring extensive data science expertise.
The system also allows operators to make immediate adjustments to manufacturing processes – enhancing process efficiency and product quality whilst reducing environmental impact.
“These AI capabilities allow us to shift from reactive to proactive sustainability,” Andrea says.
Traditional manufacturing approaches identify problems after they occur, whereas Rockwell’s AI-powered systems can prevent issues before they impact production, reducing waste and energy consumption.
For instance, FactoryTalk® Energy Manager™, provides energy monitoring across plant, process area, line and machine levels. Built on the FactoryTalk® DataMosaix™ platform, it identifies energy consumption patterns and enables targeted reduction strategies.
The system captures and analyses energy consumption data at device and process levels – and this granular visibility allows operators to make informed adjustments to motors, process parameters and energy-intensive areas.
“This synergy gives operators the power to make immediate, informed adjustments,” Andrea continues.
The integration delivers measurable results, proven by manufacturers reporting lower emissions, reduced waste and higher product quality through real-time optimisation.
AI’s role in water treatment to achieve energy savings
Rockwell’s collaboration with Eastern Municipal Water District also demonstrates the potential of intelligence-enabled control and machine learning to help save energy, reduce costs and improve quality.
The California-based utility integrated AI into its wastewater treatment operations and achieved a 31% reduction in aeration energy use – which then delivered significant cost savings whilst improving effluent quality and reducing chemical usage.
“This not only led to significant cost savings but also improved effluent quality and reduced chemical usage,” Andrea says.
The project also required minimal staff intervention, demonstrating how embedded AI can optimise processes autonomously. It continuously monitors and adjusts operations based on real-time conditions.
Aeration is a major energy expense in wastewater treatment, so the AI system’s ability to reduce the consumption by nearly one-third demonstrates the potential for scaling similar improvements across industrial operations.
Sustainable food production through AI automation
Meanwhile, in the food industry, Andrea says she is “particularly inspired” by Rockwell Automation’s collaboration with Meati Foods, a company producing sustainable meat alternatives from mushroom root, to scale production efficiently.
The collaboration involved Cybertrol Engineering, a Rockwell Automation Gold-level System Integrator Partner that implements advanced automation and control systems.
The integration streamlined Meati’s operations whilst significantly reducing energy consumption and waste.
“The project exemplifies how AI and automation can be harnessed to promote sustainable manufacturing practices,” Andrea explains.
Partnerships like this are becoming more important as the food production sector faces increasing pressure to reduce environmental impact whilst meeting growing demand – yet Rockwell Automation’s solutions can help companies achieve both objectives simultaneously.
Meati’s mushroom-based protein production requires precise environmental controls and Rockwell’s automated systems monitor and adjust conditions continuously, optimising growth whilst minimising resource consumption.
How AI works for Rockwell’s own sustainability applications
Rockwell also applies its AI-powered solutions to its own operations, tracking energy usage, carbon emissions and other performance indicators across its facilities.
The company uses FactoryTalk® Energy Manager™ to achieve this monitoring of its production operations.
These tools provide granular visibility into operational efficiency opportunities. Improvements include optimising lighting, improving heating and cooling efficiency and fine-tuning manufacturing lines.
“By applying the same solutions we offer to our customers, we demonstrate integrity and set an example,” Andrea says.
Rockwell’s responsible AI governance frameworks
Addressing the common challenge of AI implementation into older systems, Rockwell’s AI offerings integrate seamlessly into existing industrial control and automation platforms.
The integration enables real-time insights without requiring extensive data science expertise from manufacturing teams.
FactoryTalk Analytics™ GuardianAI™ provides predictive maintenance capabilities by monitoring equipment conditions using existing data from variable frequency drives by alerting maintenance teams to potential issues before they cause unplanned downtime.
The proactive approach optimises asset utilisation and extends equipment lifespan. Meanwhile predictive maintenance reduces waste associated with premature equipment replacement and emergency repairs.
Enabling data-driven sustainability measurements
It is well known that manufacturing companies increasingly require granular data to support sustainability reporting and compliance requirements.
Addressing this particular challenge, Rockwell Automation’s AI solutions provide the detailed metrics necessary for environmental impact assessment through capabilities including FactoryTalk® Energy Manager™.
This solution delivers comprehensive energy monitoring capabilities across multiple operational levels and tracks consumption patterns from individual machines to entire production facilities.
As a result, the visibility enables manufacturers to identify inefficiencies and optimise energy usage systematically.
This allows companies to target specific areas for improvement based on data-driven insights rather than assumptions.
Additionally, the system’s integration with existing automation infrastructure reduces implementation complexity.
Andrea emphasises the importance of measurable outcomes in sustainability initiatives, as the data-driven approach allows companies to demonstrate concrete environmental improvements to stakeholders and regulatory bodies.
How AI will accelerate the future of sustainable manufacturing
Through research focusing on expanding ML applications across diverse manufacturing processes and environmental challenges, Rockwell Automation continues developing AI capabilities that address emerging sustainability requirements.
As well as existing AI-driven sustainability improvements, Andrea’s role involves identifying new opportunities too – including exploring applications in waste reduction, water conservation and circular economy principles within manufacturing operations.
Partnerships are a considerable way that Rockwell advances AI technologies for sustainability, developing solutions that address specific environmental challenges across manufacturing sectors.
Looking to the future, emerging regulations require manufacturers to demonstrate measurable sustainability progress – and Rockwell’s AI platforms provide the monitoring and optimisation capabilities necessary for compliance with evolving environmental standards.
Andrea envisions AI systems that automatically adjust manufacturing processes based on real-time environmental impact assessments.
“We’re also advancing responsible AI frameworks to ensure that as these tools scale, they do so ethically and transparently,” she says.
“Our mission is to combine the imaginations of people with the potential of technology to expand what is humanly possible”.
“We are deeply committed to responsible innovation and shaping responsible AI practices, recognising the convergence of AI and ESG as a critical area for future development.”