Deterministic AI agents are emerging as a practical and reliable alternative to address the severe limitations and unreliability of fully autonomous, Gen AI agents in regulated, and high-stakes domains. Gen AI agents are probabilistic by nature which makes them difficult to audit, certify, and ...

As excitement around Agentic AI accelerates, it’s worth separating what looks impressive from what actually holds up in regulated, high-risk environments. From experience, three foundations will matter most:

It is now widely accepted that the limitations of LLM powered Agents which include hallucinations, non-determinism, and non-explainable outcomes, make these agents unsuitable for autonomous deployment in high stakes, regulated, & mission critical applications requiring Accuracy, repeatability, ...

The rise of AI Agents The last 12 months saw the rapid evolution of LLMs into Agentic AI, marking the shift from passive pattern recognition to active, goal-driven intelligence. Large Language Models excel at generating responses within the boundaries of a prompt, but they lack the ability to act. ...

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.