This case study explores how Vibranium Bridge, an AI strategy and digital transformation consultancy, is democratising access to board-level advisory services. Utilising founder Shawn Ford’s extensive experience in management consulting and senior corporate leadership roles, the company is developing an AI Integration Suite designed to augment traditional consultancy by embedding tested strategic frameworks and proprietary expertise into a chatbot-style AI system, while maintaining human oversight and robust cyber security and governance practices. Participation in The Turing Way Practitioners Hub has supported this work by enhancing Shawn’s knowledge and thinking in areas including cyber security, data readiness, AI roadmap development, and responsible human-AI collaboration. This case study is published under The Turing Way Practitioners Hub 2025-26 Cohort - case study series. The Practitioners Hub is The Turing Way project that works with experts from partnering organisations to promote data science best practices. Key takeaways AI can lower the cost barrier to high-quality strategic consulting, expanding access for companies with fewer resources. Frameworks based on existing knowledge and experience can be embedded into AI systems to provide quick, context-aware advisory support – complemented by prompt engineering to instill a company voice and ‘DNA’. Human-AI collaboration is essential: AI augments rather than replaces the judgement of experienced consultants or executives, and takes into account the fallibility of AI outputs even in the best-engineered systems. And trust and relationship-building remain critical in professional services – even in relation to AI-augmented approaches. Cyber security and data readiness are among the key foundations of responsible AI deployment. Working with a trusted external technical partner can help address these areas. AI systems require continuous review of outputs, controls and governance processes, rather than a ‘set and forget’ approach. Building in regular evaluation loops helps maintain quality and manage risk over time.
Ford et al. (Fri,) studied this question.