您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [德勤]:CXO行动指南 - 发现报告

CXO行动指南

信息技术 2026-03-13 德勤 叶剑锋
报告封面

March 2026 Table of Contents Executive summary The agentic AI one-up04 The CXO AI conundrum: Agentic AI adoption06 Enabling the power of ‘human with agentic AI’ through change management The Deloitte India AgenticAdopt Kompass™ framework 1. Leadership2. Local microculture3. Layered communication4. Learning5. Listening loops6. Legacy of innovation Metrics that matter: Evaluating human with agentic AI adoption effectiveness17 Conclusion: The innovation paradox of our time References19 Connect with us Executive summary The relentless tide of technological advancement hascontinuously reshaped the competitive landscape, but theemergence of agentic artificial intelligence (AI) signals anunprecedented paradigm shift. For today’s Chief ExecutiveOfficers (CXOs), navigating this intelligent revolution is notmerely about adopting new tools; it is about seizing a vitalopportunity to forge a fundamentally superior operatingmodel and establish enduring market leadership. Yet, inthe face of persistent talent scarcity and the complexitiesof digital transformation, simply deploying autonomousagents as a technological fix, risks creating new bottlenecksand failing to deliver the promised exponential returns. Return on Investment (ROI) of your agentic AI investmentsbut also actively hinder your ability to innovate and respondwith agility to rapidly evolving market demands. This paper offers a strategic playbook for CXOs whorecognise this fundamental truth. It provides a clearroadmap for implementing ahuman-centric changemanagement strategy that goes beyond mereadoption.We will delve into the critical steps required tofoster a culture of collaboration and trust, equip your teamswith the skills to thrive alongside intelligent agents andtransform your talent challenges into a powerful catalyst forinnovation and growth. This whitepaper confronts this critical juncture head-on.Weargue that the true competitive advantage in the ageof agentic AI will be won not by those who automatein isolation, but by those who orchestrate a powerfulsynergy between human ingenuity and AI.Just as themost resilient and successful societies throughout historyhave thrived through effective collaboration and adaptation,so too will the future leaders of industry master the art ofhuman-augmented intelligence. In the following pages, you will discover:•A framework for understanding the true competitiveadvantage unlocked by human-augmented Agentic AI.•Actionable strategies for leading a successful changemanagement initiative that embraces your workforce.•Metrics and Key Performance Indicators (KPIs) tomeasure the impact of human adoption on your agenticAI ROI.•A strategic executive action plan designed to prioritisekey initiatives and facilitate seamless adoption ofAgentic AI across various time horizons. Ignoring the human element in this equation is like buildinga high‑performance engine without considering the skill ofthe driver. Resistance, underutilisation and a failure to reskilland empower your workforce will not only diminish the Adopting agentic AI is a journey of innovation andreflection. This CXO playbook serves as a practicalguide to unlocking efficiency through technology whilereinforcing a people‑centric approach that safeguardsyour vision. Abhilasha Kataria Shankar,Organisational Change Management Leader,Partner, Deloitte India Agentic AI stands out as themost in-demand innovationamong emerging GenAI technologies. In a recent Deloittesurvey,[2]respondents identified a strong interest in agentic AI (52 percent), followed by multi-agent systems (45 percent),which have more advanced, coordinated frameworks of autonomous agents. Notably,26 percent of these surveyrespondentsconfirmed that their organisations were already exploring the development of autonomous agents at scale. This growing interest reflects a broader evolution in AI itself, from foundational technologies such as Robotic ProcessAutomation (RPA), Machine Learning, Deep Learning, Natural Language Processing (NLP) and Computer Vision to theemergence of autonomous agents.These agents operate with varying degrees of autonomy, with some requiringhuman oversight and others executing multi-step processes independently.This evolution marks a shift frompassive response systems, such as GenAI, to proactive execution through agentic AI, representing asignificant leap inenterprise automation and AI capability. HR and onboardingManages HR tasks such asaccount creation and accessprovisioning autonomously Customer supportHandles customer queriesautonomously, providingpersonalised responses IT management Resolves IT issuesautonomously, improvingresolution speed and accuracy Finance and accountingAutomates data collection,document generation andreport creation Operations and logisticsOptimises supply chainoperations by coordinationtasks across departments Sales and marketingAnalyses customer data totailor marketing strategies andimprove engagement Figure 1: Popular agen