What: Organisations are transforming by embedding AI at the core of operations, prioritising end-to-end redesign over incremental automation.

Why it is important: This approach reflects a broader industry trend where organisations achieve greater impact by fundamentally redesigning their operating models around AI, as recent reports confirm.

AI’s rapid advancement has prompted widespread experimentation and investment, yet only a small fraction of organisations are realising significant value at scale. The article argues that the main barrier is not technology, but the persistence of human-centric operating models that limit AI’s potential. Instead of layering AI onto existing workflows, organisations must undertake a ground-up redesign, organising work around connected systems of AI agents that dynamically coordinate tasks. In this AI-first model, humans focus on strategy, intent, and oversight, while agents autonomously execute and optimise workflows. Real-world examples from a European energy provider and a global bank illustrate how clear leadership, customer-centric design, and cross-functional teams can drive measurable business impact, including rapid cost savings, improved customer satisfaction, and substantial productivity gains. The article emphasises that becoming AI-first is a strategic leadership decision, requiring organisations to explicitly define where AI should lead and where human judgment adds unique value. Ultimately, the competitive gap will widen between those who redesign for AI and those who do not.

IADS Notes: The acceleration toward AI-first operating models is confirmed by “Retail rewired: How AI Is reshaping the retail business model” (February 2026, BCG) and “End-to-end reinvention unleashes a technology's full potential” (July 2025, BCG), both highlighting that only a minority of organisations achieve scale and impact by fundamentally redesigning processes around AI. Leadership commitment and organisational change are critical, as shown in “As AI investments surge, CEOs take the lead on decision making and upskilling themselves” (January 2026, BCG) and “The AI-first retailer” (November 2025, BCG), where CEOs who drive business model innovation and prioritise upskilling see measurable improvements in productivity and satisfaction. The importance of agentic AI in elevating both internal operations and customer experiences, supported by strategic investment, governance, and a clear delineation between human- and AI-led activities, is further illustrated in “Retail: When Agentic AI boosts humanity and customer satisfaction” (July 2025, Journal du Net).

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