Why LLMs Aren’t Enough: Engineering Antifragile Operations with Composable Decision Intelligence
As we navigate the technological landscape of 2026, Generative AI has undoubtedly transformed the way we interact with information. Chatbots and Large Language Models (LLMs) have proliferated across enterprise software, streamlining communication and automating basic workflows. However, for operations and supply chain leaders in complex, capital-intensive industries like FMCG, Automotive, and Retail manufacturing, a stark…
Decision Lab’s David Buxton Appointed to techUK Digital Twins Council (2026-2028)
We are proud to announce that Decision Lab’s CEO, David Buxton, has been invited to join the techUK Digital Twins Council for the 2026-2028 tenure. The Digital Twins Council plays a critical role in the UK’s technology ecosystem. It brings together industry leaders to shape policy, drive innovation, and establish the cross-sector standards necessary to…
Challenge: Are You Part of the 9% of Antifragile Leaders?
Jump to the quiz >> In an era defined by permanent disruption, survival is no longer a sufficient strategy. For the last decade, the supply chain industry has been obsessed with resilience—the ability to withstand a shock and bounce back to a baseline state. But what if your baseline isn’t good enough? What if the…
AI TRiSM: Moving From Theory to Action with Risk Management
By Anahita Bilimoria, Decision Lab Innovation Practice Lead Welcome back to our series on AI TRiSM! In our previous post, we established that Trust is the necessary foundation for AI adoption, built on principles of explainability, fairness, and reliability. However, even the most trusted system carries inherent uncertainties. The Illusion of Certainty It is a fundamental…
The Power Couple of Decision Science: Integrating Simulation and Optimisation
In the world of complex decision-making, organisations often rely on two distinct tools. On one hand, there is Simulation (‘What happens if…?’), allowing us to model uncertainty and test scenarios. On the other, there is Optimisation (‘What is the best choice?’), allowing us to find the ideal solution within constraints. Separately, they are powerful. But…
