November 13, 2025

Industrial intelligence: Connecting the physical and digital for the future of work

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The next frontier of industrial transformation is not just digital; it’s intelligent. Across complex industrial ecosystems, data is abundant but scattered. The challenge today is to connect, understand, and act on it with precision and confidence. 

This is where Industrial Intelligence comes into play. It represents the fusion of Artificial Intelligence and simulation, delivered through an Industrial Work Surface that connects data, systems, and people into a single, intelligent environment. Built on an AI-first principle with intelligence at its core, the platform transforms industrial operations into a connected, learning environment where insight drives every action.

What is Industrial Intelligence? 

Industrial Intelligence unites two essential capabilities that together redefine how industries make decisions. 

  • AI provides the cognitive ability to analyse complex data, identify patterns, reason within context, and communicate insights in natural language. 
  • Simulation enhances physical understanding by demonstrating how assets and processes behave under varying conditions, facilitating safe and predictive decision-making. 

Together, they create a continuously learning ecosystem where intelligence is both data-driven and grounded in physical reality. This is often described as Physical AI intelligence, which mirrors the real world in which it operates.

AI-First: Intelligence at the core 

The Industrial Work Surface adheres to an AI-First design philosophy, meaning intelligence is not an add-on but the foundation of the platform. 
Every interaction, from analytics to decision support, is driven by AI that understands context, learns continuously, and supports users with proactive insights. 

AI at the core enables the platform to reason across vast data networks, dynamically connect simulations, and deliver outcomes that are both explainable and trustworthy. It ensures that intelligence is embedded in every workflow, rather than being isolated in a single tool. 

Agentic AI: The orchestrated core 

At the heart of Industrial Intelligence lies Agentic AI, a distributed architecture of specialised agents managed by an Orchestrator. 

Each agent specialises in a specific domain or area of responsibility. The Orchestrator manages how these agents interact, share context, and work together to solve problems. The platform is designed with agnostic principles, enabling the integration of various generative or predictive models to maintain flexibility and resilience as technology advances. 

This orchestration provides connected, context-aware intelligence that bridges the gap between data, systems, and human decisions.

End-to-End Workflows: Connecting the silos 

Industrial operations are often hindered by disconnected systems and siloed information. The Industrial Work Surface removes these barriers through end-to-end workflows that unify the entire data lifecycle, from sensor to decision. 

For example: 

  1. AI detects an efficiency deviation in a piece of equipment. 
  2. Data and operational context are analysed to identify potential causes. 
  3. Simulation evaluates the impact of different corrective measures. 
  4. The Asset Copilot summarises findings and recommends the most suitable course of action. 
  5. The workflow seamlessly connects to planning and maintenance systems for execution.

This creates a continuous intelligence loop that connects insight to action across every function.

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Video: How an agentic AI system is integrated into Canvas, transforming it into a powerful workflow builder within the core Industrial Work Surface platform.

The Asset Copilot: Intelligence in action 

The Asset Copilot is how users experience Industrial Intelligence on the Industrial Work Surface. It serves as a conversational decision-support companion, enabling users to query data, explore scenarios, and validate recommendations in real-time. 

Ask: 

Show which assets have declining performance and assess the effect of adjusting operating parameters.

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Behind the scenes, the Asset Copilot engages multiple agents, runs simulations, and provides a verified summary of results, allowing users to act with confidence. Every recommendation remains transparent, traceable, and always under human supervision.

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Built on sustainable data foundations 

Industrial Intelligence relies on robust data integrity.

The Industrial Work Surface is built on sustainable data foundations that ensure data from across engineering, operations, and enterprise systems remains consistent, contextual, and accessible. 

This foundation promotes seamless collaboration between AI and simulation, ensuring trustworthy, transparent, and consistent insights. It creates a strong ecosystem where information moves freely, fostering ongoing learning and advancement.

The value of Industrial Intelligence 

Integrating AI, simulation, and agentic orchestration within a unified Industrial Work Surface provides tangible benefits: 

  • Trusted decisions validated through data and simulation 
  • Faster outcomes enabled by connected workflows 
  • Reduced downtime through proactive recommendations 
  • Sustainable performance driven by optimised operations 
  • Knowledge continuity across teams and systems 

Industrial Intelligence enhances human expertise, providing the clarity and confidence needed to operate accurately.

The future of industry is intelligent

By integrating AI, simulation, and agent-based orchestration into an AI-first industrial work surface, organisations can embed Industrial Intelligence throughout all aspects of their operations. This represents Physical AI in action, a connected, data-driven ecosystem built on sustainable foundations that helps industries operate safely, efficiently, and responsibly. 

Industrial Intelligence does not replace human expertise. It enhances it, creating a future where people and technology work together to shape a smarter and more sustainable world. 

Author
  • Koushik Venkataramaiah

    Koushik Venkataramaiah

    Koushik Venkataramaiah is the Chief Architect at Kongsberg Digital, where he also heads the Platform and AI functions. He leads the company’s architecture and technology strategy, shaping the evolution of its platform capabilities and driving innovation in AI-powered solutions. With more than 12 years of experience in software development and architecture, he brings deep expertise in distributed and large-scale software platforms.

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