代理型AI重新定义工作、决策与创新

Prepare your organization forthe next step of AIAgentic AI is the evolution beyondgenerative AI that brings autonomy,adaptability, and goal-orientedintelligence to business operations andthe future of work. As organizationsnavigate an increasingly complexdigital landscape, the ability to deployAI that acts with intent, learns fromits environment, and continuouslyoptimizes processes is a game-changer.Agentic AI has the potential tosupercharge every employee andevery process, and the impact onworkstreams will likely be profound.With the introduction of purpose-driven AI agents, the future of workwill require employees to leverage andorchestrate a constellation of diverse AIAgents across multiple use cases andworkstreams. Agentic AI can accelerateinformed decision-making, automatelow-risk tasks and processes, andbegin to bridge the gap between humanexpertise and machine intelligence innew and compelling ways.With the right strategy and planning,organizations can implement agenticAI effectively without introducingunnecessary risk. By partnering withDell and NVIDIA, organizations canaccess the right infrastructure, datatransformation services, and platformsto harness the benefits of agentic AI.1. Forrester Trends Report “Agentic AI Is Rising And Will Reforge Businesses That Embrace it.” March 7, 2025. For CEOs, agentic AI represents morethan just an efficiency play—it signalsa fundamental shift in how enterprisescompete, operate, and deliver value.1 What is agentic AI?Agentic AI gives organizations an opportunity to combine massive quantities of their valuable data, bestpractices, and procedures with autonomous intelligent systems. Unlike traditional AI, which passivelyprocesses inputs to produce fixed outputs, agentic AI functions more like an intelligent collaborator thatactively works towards goals within your business context rather than just following instructions.This collaborative capability allows organizations and their employees to operate at unprecedentedlevels of efficiency and creativity while ensuring alignment with organizational goals and expectations.By having the power to reason, perceive the environment, learn, and adapt, agents can be given a goaland then independently perform complex tasks and solve problems to reach that goal, potentially withouthuman interaction.AI agents as yourcompetitive advantageThe evolution of generative AIChatbotEngages users throughprompts to answerquestions or guide actions.Digital assistantSolves specific, task-focused questionswithin a narrow domain. 3Agentic AIAutonomously managesa wide range of tasks andadapts as needs change. Traditional AIPotential valueLevels of AIAgentic AI can best be understood by viewing it within the broader continuum of artificial intelligence. As AI has evolved throughdistinct stages, each of those stages adds new capabilities. This progression can be seen across these categories:Traditional AIRule-based systems that relyon pre-programmed logic andrequire human intervention foradjustments. Effective for repetitive,structured tasks but lacks flexibility. Higher level of confidence/risk mitigation neededScience fiction(for now)Effort required to buildGenerative AIAgentic AIPhysical AI01110Generative AIUses deep learning models tocreate text, images, code, and othercontent based on existing data anduser-driven prompt inputs.Agentic AIAI agents can reason, perceiveenvironments, learn, and adapt.When provided with a goal they cansolve complex problems with littleto no human interaction.Physical AIEmbodies intelligence in roboticsystems that interact with thephysical world, such as with robots,sensors, and other equipment. 4Artificial General Intelligence (AGI)Represents the aspirational goalof AI developers, researchers, andscience-fiction enthusiasts, i.e.machines with human-like cognitiveabilities. AGI remains theoretical. Why AI levels matterBusiness leaders must understand the distinctions between stages of AI to makestrategic investments and assess the complexity of different AI implementations or usecases. Agentic AI, in particular, introduces a new level of complexity and sophistication,which will require a deeper alignment with business processes, business logic, and theability to act autonomously across scenarios.In addition, as agentic AI solutions are adopted by organizations already invested intraditional and generative AI, it’s imperative to implement robust guardrails, humanoversight, and tighter security to ensure safe, reliable outcomes.Goals, autonomy, and creativity are not just traits of agentic AI, they can be activelydefined by organizations. Setting clear goals validates that AI is aligned with businesspriorities from the start. Defining boundaries for autonomy allows the system to actindependently while staying within limits. Guiding how agency is applied via constraints,context, or preferred methods ensures that solutions still support strategic intent. 5 Agentic AI is reshaping the workplace, transforming