Majid is an industrial engineer and management consultant with over 25 years of experience. He is an expert on making structural improvements to the designs of systems and services – changes that won’t compromise performance or create new problems. He has helped organisations in industry and government, often called to help with problems that have frustrated previous efforts. He has been called ‘the stuntman’ for his leaps of imagination, landing on his feet with new insights. His primary occupation has been in alleviating the chronic pain of top management – strengthening the strategic core of the enterprise to improve impact, relevance, responsiveness, and resilience, while also cutting costs and carbon.  

Majid's has designed all sorts of things, from a new kind of statistical graph to a reference stack for the digital measurement of health; and from thinking tools for civil servants to business models for strategists. But his most important work is around developing a language model for describing the structure and composition of the necessary risks in service contracts. The work received funding from the Netherlands government, for an R&D project that gave Majid and his team the opportunity to develop a method for reducing unnecessary costs in commercial contracts. The ideas that came out of that project have the potential to change the way we design contracts and services, but also, more broadly, the way we protect businesses from financial stress during prolonged periods of economic uncertainties and political turbulence.

Majid is now exploring that potential in the form of an AI-powered early warning and advisory service that will help businesses stay aligned with market forces, exerted primarily through the intentions of customers, suppliers, competitors and regulators. The agentic AI system will monitor events, work through the implications, and predict problems in demand or supply. It will then suggest a series of adjustments businesses can preemptively make to protect themselves from unnecessary financial stress. The service will provide McKinsey-quality advice at 1/100th the price, for the millions of organisations who cannot afford even the big 40 firms, let alone the Big 4. Being able to do that is an extremely difficult design and engineering challenge. But the ideas and constructs from the Dutch government project, and the AI arms race between OpenAI, Anthropic, Google and others, provide encouragement.

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