Agentic AI for industrial applications
This whitepaper introduces the next frontier in industrial AI and engineering AI: agentic AI. It explores how autonomous intelligence is set to transform manufacturing, engineering, and supply chain management by enabling smarter, more adaptive, and collaborative operations.
Key themes include:
Defining Agentic AI:
Understand how agentic AI differs from traditional automation and large language models, offering true autonomy, contextual reasoning, and goal-driven behaviour for complex industrial environments.
Industrial Transformation:
Discover how agentic AI is driving digital transformation in manufacturing and engineering, unlocking new levels of operational efficiency, resilience, and productivity.
Collaboration and Adaptability:
See how these intelligent systems work alongside humans and other AI agents, adapting in real time to changing industrial conditions and supporting continuous improvement.
Real-World Impact:
The whitepaper teases practical use-cases—such as predictive maintenance, supply chain optimisation, and design compliance—where agentic AI is already delivering value and where its potential is just beginning to be realised.
Responsible Adoption:
Explore the challenges of integrating agentic AI, including governance, ethical deployment, and the importance of human oversight, with actionable recommendations for safe and effective adoption.
If you’re looking to stay ahead in the rapidly evolving world of industrial automation, digital manufacturing, and engineering innovation, this whitepaper is essential reading. Dive in to discover how agentic AI could be the catalyst for your organisation’s next leap forward.