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cover of episode A Blueprint for Enterprise Agent Adoption
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Swami Chandrasekaran
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Swami Chandrasekaran: 企业对AI代理的关注度很高,虽然最近被其他AI技术短暂盖过,但依然是热门话题。企业AI代理的采用正处于早期阶段,虽然技术在不断进步,但可靠性和工具的成熟度仍有待提高。我提出了一个名为TACO的框架,将AI代理分为任务型、自动化型、协作型和编排型四种,它们的区别在于规划和协调的复杂程度。TACO框架并非严格的分类,而是提供一种思考AI代理类型和复杂性的方法,企业可以根据自身需求选择合适的代理类型。企业对AI代理的期望值很高,往往会直接跳到理想状态,而忽略了当前技术的局限性,这需要调整设计方法。企业准备采用AI代理需要考虑多个因素,包括明确目标、数据准备、专家知识、策略制定、技术选择和技能培养等。企业在构建AI代理时,可以选择自建、使用商业平台或直接购买现成产品,需要根据自身情况选择合适的方案。AI代理的采用可能既有自下而上的创新,也有自上而下的标准化,需要找到两者之间的平衡。企业需要考虑员工层面的AI代理采用,包括收集员工意见和解决员工担忧。个人AI代理和企业级AI代理的开发和应用存在差异,需要不同的技能和管理方式。企业级AI代理的采用需要谨慎,需要考虑安全、治理和风险管理等因素。企业应该积极尝试和实验AI代理,并与内部AI团队合作,建立标准化流程。

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AI agents are one of the biggest enterprise topics 2025, but where does adoption stand? In this conversation, KPMG’s Swami Chandrasekaran breaks down the practical realities of implementing agents in large organizations. From the state of enterprise readiness to frameworks like TACO (Taskers, Automators, Collaborators, Orchestrators), this discussion covers what enterprises need to consider before deploying agents at scale. )

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KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠) to learn more about how KPMG can help you drive value with our AI solutions.

Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw

The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.

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