AI is everywhere in business strategy. Every leadership team is talking about it, every roadmap includes it and every forward-looking organisation claims to use it. Yet, despite all the talk, the gap between AI strategy and real-world execution remains stubbornly wide.

Hype has a way of obscuring the bigger picture. In the second part of our Agentic AI series, XpertRule Chairman and Founder Akeel Attar explains why a Decision Centric approach is the most pragmatic path to successfully scaling AI Agents in the enterprise.

AI is making headlines daily, with billions committed to infrastructure, research and massive AI models. But none of this is designed with manufacturers in mind. Instead of getting lost in the noise, focus on developing a well-defined AI strategy built around specific challenges and operational ...

Is Agentic AI ready to live up to its promises of revolutionising the nature of work? In this two-part series, XpertRule Chairman and Founder Akeel Attar explores the obstacles in its way and how to navigate a path to successfully scaled agent adoption in the enterprise.

2025 can’t be another year of buzzwords and vague promises. To accelerate AI adoption, manufacturers need results-driven solutions that solve the problems they face every day. It’s time to move beyond marketing slogans and demonstrate how AI can deliver real, measurable value, says XpertRule’s ...

Unlocking AI’s full potential in manufacturing requires a Responsible AI strategy grounded in transparency, accountability and human oversight. XpertRule’s Akeel Attar and Iain Crosley share why Responsible AI should underpin your AI strategy in 2025.

Trust is the foundation for successful AI adoption. By addressing skepticism, prioritising data quality and ensuring algorithms are explainable and auditable, AI can become a powerful force-multiplier in manufacturing operations. XpertRule’s Akeel Attar and Iain Crosley show how.

However far along their AI journey they may be, most businesses are currently struggling with a similar question: where to draw the line between human and AI work, and how to manage the handoff.

To build trust in AI, manufacturers need models that are explainable, accountable and auditable. This begins with transparent AI models that reveal how and why predictions are made.

This week was Sustainability Industry LIVE and it was a day crammed full of debate, discussion, questions and answers on how to tackle the critical role of sustainability in manufacturing.