Interview

Published: November 11, 2026

The success of a low-code strategy should be measured through both operational and business outcomes

Rockwell Automation’s Ankur Pancholi explores how low-code platforms democratize automation, empower plant teams, and drive Industry 4.0.

Ankur Pancholi

Ankur Pancholi, Head of Software & Control, Rockwell Automation India.

How are low-code automation platforms changing the way enterprises approach Industry 4.0, particularly by enabling engineers, plant teams and other business users with limited coding expertise to participate directly in developing automation applications?

Low-code platforms are democratising digital transformation by enabling engineers, plant operators, maintenance teams, and process experts to develop applications without deep programming expertise. Traditionally, automation innovation depends heavily on specialised IT or software development resources. 

This approach bridges the gap between operational technology (OT) and information technology (IT), accelerating Industry 4.0 adoption across the enterprise. The people closest to the process can rapidly address operational challenges, improve visibility, and optimise performance. By empowering a broader workforce to participate in innovation, organisations can scale digital initiatives faster while ensuring solutions remain closely aligned with actual plant-floor requirements and business objectives.

What impact can low-code platforms have on the speed of application development and deployment – from identifying a process-improvement opportunity to implementing and scaling the solution – and how can this translate into faster innovation and time-to-value for enterprises?

Low-code platforms can dramatically reduce the time required to move from identifying an opportunity to deploying a working solution. Instead of spending months on coding, testing, and integration, users can leverage pre-built templates, drag-and-drop functionality, reusable components, and native industrial connectivity to develop applications in days or weeks.

For manufacturers, this means process improvements can be piloted quickly, validated in real-world operations, and rapidly replicated across multiple lines or sites. Faster development cycles reduce project risk, improve responsiveness to changing market conditions, and enable continuous innovation. Ultimately, the business benefits from faster time-to-value, quicker operational improvements, and greater agility in pursuing productivity, quality, sustainability, and workforce-efficiency goals.

With the shortage of specialised automation and IT skills, how can low-code platforms help enterprises bridge the skills gap while empowering their existing workforce to develop, modify and maintain applications without extensive programming or IT training?

The industrial sector faces a growing challenge in attracting and retaining automation, software, and data specialists. Low-code platforms help address this gap by enabling existing engineering and operations teams to build and maintain applications using visual development tools rather than traditional programming languages.

By lowering technical barriers, manufacturers can leverage the knowledge of experienced plant personnel who understand production processes, equipment behavior, and operational challenges. This collaborative approach not only increases workforce productivity but also reduces dependency on scarce technical resources. Equally important, it accelerates workforce development by helping employees gain digital skills and participate more actively in the organisation's Industry 4.0 transformation journey.

How can enterprises ensure that applications created by in-house teams through low-code platforms integrate seamlessly with existing PLCs, SCADA, MES, ERP, IoT and other Industry 4.0 systems, rather than creating another layer of isolated technology?

Successful low-code adoption requires openness and interoperability. Organisations should prioritise platforms that support industry standards and offer native connectivity to PLCs, SCADA, MES, ERP, IoT, cloud, and analytics environments. Integration should strengthen the digital ecosystem rather than create another isolated technology layer.

Well-designed architecture enables consistent data models, contextualised information, and enterprise-wide visibility. When low-code applications are developed within this framework, organisations can create scalable solutions that leverage existing investments, eliminate data silos, and deliver meaningful business insights across the entire value chain.

What governance, cybersecurity, data-management and quality controls are essential when automation development becomes more distributed across business and plant teams, so that the flexibility of low-code does not compromise enterprise-wide standards, safety or security?

As application development becomes more distributed, strong governance becomes critical. Enterprises must establish clear policies covering user access, role-based permissions, application lifecycle management, cybersecurity, data integrity, and validation procedures. Every application should be developed within a secure framework that aligns with corporate IT and operational standards.

Equally important are version control, change management, audit trails, and standardised development practices. Organisations should provide approved reusable components and templates to ensure consistency across sites. Effective governance enables innovation while safeguarding reliability, safety, compliance, and operational continuity. The objective is to empower innovation without compromising cybersecurity, process integrity, or enterprise-wide standards.

Ultimately, how should enterprises measure the success of a low-code automation strategy – such as productivity gains, reduced development time, lower costs, faster deployment, workforce productivity and scalability – and what does a successful enterprise-wide low-code automation roadmap look like?

The success of a low-code strategy should be measured through both operational and business outcomes. Key metrics include reduction in application development time, faster deployment cycles, improved workforce productivity, lower implementation costs, reduced downtime, increased asset utilisation, and accelerated delivery of digital initiatives.

From a strategic perspective, organisations should also evaluate scalability, user adoption, and the number of successful solutions replicated across plants or business units. A successful enterprise-wide roadmap begins with high-value use cases, establishes a governed development framework, and progressively expands capabilities across operations. 

Organisations that achieve the greatest value are those that combine connected data, empowered employees, and scalable digital platforms to create a culture of continuous improvement, innovation, and operational excellence.

(The views expressed in interviews are personal, not necessarily of the organisations represented.)

Industrial Automation Editorial

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