Strategy, Roadmap & Portfolio Ownership – Own and continuously evolve the Group AI and Agentic AI roadmap, aligning it to the GCIO’s technology strategy and to the commercial priorities of each operating company. – Work with the GCIO, business leaders, and functional heads to identify, qualify, and document candidate business use cases across finance, procurement, supply chain, sales, service, and human capital. – Prioritise AI initiatives using a structured assessment of business value, technical feasibility, risk exposure, and data readiness, and maintain a transparent portfolio view for executive review. – Develop business cases, cost models, and benefit-tracking mechanisms so that AI investment decisions are evidence-based and outcomes are measurable post-deployment. – Maintain an informed position on the AI and Agentic AI market, advising leadership on emerging capabilities, obsolescence risk, and the Group’s competitive positioning.

▶ Agentic AI Solution Design & Architecture – Design Agentic AI solutions and workflows, defining agent roles, task decomposition, orchestration patterns, memory and context strategies, and success criteria. – Define how agents interact with enterprise systems and knowledge sources — ERP, CRM, HRMS, procurement platforms, the data lake, document repositories, email, and internal and external APIs. – Build solution blueprints covering multi-agent workflows, human-in-the-loop approval points, escalation rules, fallback behaviour, and complete audit trails for every automated action. – Ensure solution architecture is scalable, secure, reusable, and fully aligned with enterprise IT standards, reference architectures, and integration patterns. – Establish reusable components, prompt libraries, evaluation harnesses, and design patterns that reduce the cost and lead time of each subsequent AI initiative.