Fortune | FORTUNE 10月09日 14:27
AI时代 BPO公司如何保持以人为本?
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面对AI的冲击,全球最大的业务流程外包(BPO)公司Teleperformance(TP)却在“2024年欧洲最佳工作场所100强”榜单中位列第16。TP公司通过在内部和面向客户的流程中实施AI的同时,依然保持以人为本的文化,成功让50万员工保持满意度。公司强调透明沟通AI的应用原因和范围,以减轻员工的担忧,并认为AI应辅助而非取代涉及同理心和人际连接的核心工作。TP将人类情商视为关键差异化优势,坚持“快乐的员工带来快乐的客户”的理念,并通过文化变革项目,将情商融入AI应用并培训员工,以应对AI时代的挑战。

🤝 **以人为本的文化是关键**:尽管AI技术快速发展,Teleperformance(TP)将员工视为核心资产,强调“快乐的员工带来快乐的客户”的理念。公司通过透明沟通AI的应用,让员工理解其目的和影响,从而减少对失业的恐惧,并认识到AI将辅助而非完全取代需要人类情感和同理心的工作,例如在招聘过程中,AI辅助评估而非直接面试,以保留人际互动的温度。

💡 **AI赋能而非取代**:TP公司认为,AI的价值在于将人力资源引导至最具影响力的领域,实现效率提升,而非替代所有工作。在客户服务、人力资源和IT等领域,AI可以自动化重复性任务,使员工能够专注于需要复杂问题解决、情感支持和建立人际关系的任务,从而提升整体服务质量和用户体验。

🚀 **情商是核心竞争力**:在竞争激烈的BPO市场,TP将人类情商(EI)与AI的结合视为重要的差异化优势。公司通过文化变革项目,将情商训练融入AI应用培训中,并设有“情商指数”来衡量员工对AI的理解、信任度以及管理层沟通的透明度,确保技术进步不以牺牲人际互动为代价。

🛠️ **审慎的AI实施策略**:TP公司在引入AI时采取了“精益六西格玛”方法,仔细分析流程中的痛点和改进机会,并测试AI如何支持流程以及员工的反应,然后才全面推广。公司强调高层管理团队的全力支持对于成功实施AI至关重要,尤其是在全球性的大型企业中,确保所有员工在同一页面上,避免AI对企业文化产生负面影响。

It’s a nervy time to be a frontline worker in a call center or back-office hub. Startups are advertising ‘AI employees’ and the likes of venture capital firm Andreessen Horowitz are talking of AI ‘productizing and unbundling’ the business process outsourcing (BPO) sector that executes the core functions of corporations around the globe. No doubt customer service, HR, and IT workers in the industry are wondering how their employers will respond—and whether their livelihoods are at risk.  

At first glance, then, it’s surprising to see the world’s largest BPO firm, ​​Paris-headquartered Teleperformance, ranking 16th on this year’s Fortune’s 100 Best Companies to Work For – Europe list. 

The €10.2 billion ($12 billion) revenue company, widely known as TP, has managed to keep its 500,000 people happy in the AI age by maintaining a human-centric culture even as it implements AI into internal and client-facing processes. 

Alan Winters, TP’s global chief privacy and data ethics officer, and until very recently its chief people officer, says that some employees worry about being displaced by AI, but the key is to be transparent about what you’re using AI for and why. “People need to understand what’s happening. They’ll make the decision they need to for themselves, but the more they understand, the less fearful of change they will be,” he explains. 

Winters also advocates for brutal honesty, including about what you don’t know—which, in the case of a nascent technology like AI, may be quite a lot. Assuage fears directly, if possible.  

“AI is not going to replace all of our jobs. It’s going to allow us to put resources where the impact from human interaction will be the most,” Winter says. Sometimes that means automating tasks for efficiency but not core activities that involve empathy and personal connection. In those cases, AI is there to assist or augment.  

“People need to understand what’s happening. They’ll make the decision they need to for themselves, but the more they understand, the less fearful of change they will be.”Alan Winters, TP’s global chief privacy and data ethics officer

He points to recruitment as an example: At TP, AI doesn’t conduct a video interview; instead it ‘listens’ to calls between a candidate and recruiter to help the latter make an assessment. “I could automate 100% of my recruiting process. But is that what I want the first experience of new employees to be if I’m telling them we’re a people-focused organization and that we value emotional intelligence?” 

Humanity as a competitive advantage 

A business case underlies TP’s principle that technology cannot replace person-to-person interaction. Winters explains that TP sees combining human emotional intelligence (EI) with AI as a key differentiator in a market in which competitors are more focused on using technology to cut overheads.  

“Ever since [founder and CEO] Daniel Julien started the company almost 50 years ago, we’ve had the mantra that if you have happy employees, you will have happy end customers, and therefore happy clients,” Winters says. AI hasn’t changed this view. “Who will our clients want to work with? The companies that are investing in their people, or the ones that say I can do this for the lowest cost, but I’ve taken the humanity out of human interaction?” 

To double down on its commitment to human-centric operations—and to reassure employees that it’s serious about its strategic value—TP has begun a culture change program to incorporate EI into its implementation of AI and train its workforce on EI in the AI era.  

(The training aptly includes a set of AI-generated songs to help people remember key messages, with titles like “Heart’s Compass” and “I Know What I Feel”). 

As with any change program, measurement matters. Alongside harder metrics like employee attrition, TP actively examines the impact of the training on the workforce and of AI itself. For example, as part of a new ‘EI index’ metric with Great Places To Work, the company assesses employee understanding and fear of AI, how much they trust what management says about it, and whether they think communication has been transparent enough.  

Deft implementation 

Winters has several lessons to share with other companies wanting to embed EI in AI. First, be thoughtful about how you implement technology; don’t rush. TP uses a Lean Six Sigma approach to map out processes and analyze where teams have practical issues or where there’s an opportunity to do things differently. It then tests how AI could help support the process—and how people respond—before rolling it out.   

“If you’re not surgical about where you put AI, we believe that will have a huge [negative] impact on your culture,” Winters says.  

Second, ensure the whole executive team fully buys into the idea and holds others accountable for implementation. “If you don’t have 100% support from the executive team, it will not happen, especially with a global company of 500,000 people in 100 countries—that’s a lot of people to get on the same page,” he adds. 

Lastly, Winters says it’s essential to approach AI—and EI—with a humble, learning mindset. “Frankly, you’ll make mistakes, but we’re human, we all make mistakes. The key is how you learn from that.” 

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Teleperformance BPO AI 人工智能 人本文化 Employee Experience Future of Work
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