平台战略的新规则 在具身AI时代的优先事项

Five priorities to help companies alignpeople, platforms and intelligence Authors Christopher Roark Surya Mukherjee Frédéric Brunier Senior Managing Director—Global Lead –Technology Strategy and Lead – Strategy,EMEA Senior Managing Director—Global Lead –Cost & Productivity and Lead - Strategy,Americas Principal Director—Accenture Research Surya leads global cloud and platformsresearch at Accenture and oversees thefirm’s Technology Research agenda inEurope. He brings more than a decade ofexperience advising enterprise softwarevendors and global organizations ontechnology and platform strategy. Chris works with boards and managementteams to shape growth strategies, redesignoperating models and drive enterprise-widecost and productivity reinvention. His workhelps organizations manage complexityand unlock new value through AI, data andplatforms. Frédéric is Accenture’s Lead for TechnologyStrategy. He works with management andexecutive boards to drive value from aligningand leveraging technology and AI to delivercorporate and business strategy outcomes.This enables companies to get higher ROIfrom investment in technology and AI whilestrengthening the intersect between business,IT and ecosystem partners. The authors would like to thankChristian LennerzandJordi Parisfor their contributions. Executive summary They modernize their digital cores, clarify how humans,platforms and AI agents work together and reimagine howwork itself is structured. The goal is not replacement butreinvention, integrating people, platforms and intelligenceinto a single, adaptive architecture that acceleratesperformance and growth. When executed well, these priorities turn platform strategyinto a source of growth and differentiation. Platforms evolvefrom systems of record to systems of action, where humans,platforms and agents operate in sync to deliver outcomesthat are faster, smarter and more resilient. For decades, enterprise platforms have powered modernbusiness, running finance, human resources (HR), supplychain and customer management. Yet in an AI-first world,that foundation is fast becoming obsolete. Agentic AI istransforming how work gets done and how value is created,while customer and competitive dynamics are moving fasterthan traditional platforms can adapt. The next chapter of enterprise platforms is aboutfuture-readiness. Companies that align architecture,intelligence and talent around AI will not only keep pace withchange—they will define it. In short, they are playing by new rules. This report exploresthe five priorities that define the next generation of platformstrategy in an age of agentic AI systems: Many organizations remain weighed down by duplicatedand complex systems because they treat AI and platformsas separate domains, piloting tools instead of embeddingintelligence into the core. The result is fragmentation,inefficiency and missed opportunity. • Architect for the future– Build platform-awareinfrastructure that allows AI to scale seamlessly.• Design a fit-for-purpose foundation– Modernize thedigital core for agility and real-time insight.• Articulate the interplay– Define clear roles for humans,platforms and agents to ensure orchestration andaccountability.• Prepare for operating model reinvention– Reimaginehow the enterprise operates to unlock new performance.• Transform culture– Equip people with the trust, fluencyand mindset to lead in an AI-driven enterprise. To understand how companies can break free from thispattern, we surveyed more than 1,000 executives across12 countries and 10 industries. The findings are striking:companies that align their AI, platform and businessstrategies outperform peers by a wide margin on average,doubling revenue growth and increasing profitability byup to 37%. These leaders treat platforms not as staticinfrastructure but as living systems of intelligence,continuously learning, adapting and scaling. Contents The case for platform reinvention5 Two forces driving change7 1. AI-driven transformation of work82. Business demands outpacing platforms10 Platforms evolve from tools to interaction hubs12 The alignment gap: Fragmented strategy, missed potential14 Five priorities for platform strategy in an AI-first world16 1. Architect for the future17 2. Design a fit-for-purpose foundation22 3. Articulate the interplay25 4. Prepare for operating model reinvention30 5. Transform culture35 Final word: It’s not about replacement. It’s about readiness39 About the research40 The case for platform reinvention Our research underscores the urgency forreinvention. In a global survey of more than 1,000executives across 12 countries and 10 industries,nearly one in five believe some of today’s enterpriseplatforms will not survive the onslaught of AI inthe next two years. The logic that once droveefficiency—prescribed workflows, fixed hierarchies,rigid data models—no longer fits a world defined byautonomy and learning. As one platform executiveput it, “The features t