• 效率
    Will Chatbots Take Over HR Tech? Paradox Sets The Pace. 在快速发展的人力资源技术领域,Paradox.ai 已成为领跑者,其先进的对话式人工智能平台彻底改变了招聘流程。通过利用自然语言处理和人工智能,Paradox.ai 提供了一个全面的解决方案,涵盖了从最初的职位申请到入职的整个招聘过程。该平台不仅简化了筛选和面试安排等繁琐流程,还提升了应聘者的整体体验,显著改善了招聘时间和招聘质量指标。 Paradox.ai 由亚伦-马托斯(Aaron Matos)于 2016 年创立,目前为联合利华、CVS Health 和通用汽车等大客户提供服务,实现了 90% 以上的招聘流程自动化。 Paradox.ai 凭借其强大的集成能力和大幅缩短招聘时间、降低招聘成本的能力,在人力资源技术领域充分体现了对话式人工智能的变革力量。 Chatbots used to be tinker-toys. You type, try to get help, but usually result in “please call support.” Well all this has changed. Thanks to advanced NLP (natural language processing) and AI (retrieval-augmented generation) chatbots are entire applications. They can answer complex questions, search databases, and invoke transactions on your behalf. Pretty soon we’ll be able to ask our phones “please find me a flight to Los Angeles next Tuesday morning” and the system will check your location and calendar, look at flights, and book you a seat. Where is this going in HR? Well the leader in this space is Paradox.ai, a company that pioneered the application of conversational AI in recruiting. And their system “defines the category.” Let me explain. Recruiting Is The Perfect Market For Conversational AI Recruiting is a goldmine for automation. When you post a job, applicants want to ask many predictable things: “How much does it pay?” “What are the hours?” or “What uniform do I need” or “What are the benefits?” The recruiter, a person devoted to filling positions, has to answer all these questions and more. They have to screen candidates, schedule interviews, check for qualifications, and look at credentials, experience, and more. It’s time-consuming, error-prone, and filled with wasted time. (That’s why talent acquisition teams have many “scheduler” and admins.) The average “time to hire” is over 45 days and often the process goes on for months. And throughout the experience the job seeker is left wondering “when will they call back” or “what else do I need to know?” (CEOs cite hiring as the third most time-wasting process in companies, following emails and meetings, estimated at “40% wasted time.”) Paradox uses Conversational AI to solve this problem. And because this is a “narrow but deep” space, the system does many things we can learn from in all our AI efforts. Paradox was founded by Aaron Matos in 2016. Aaron’s vision was to transform the candidate experience, revolutionizing the way candidates apply to jobs. Today Paradox has become a complete Conversational AI Recruitment Platform (chat to apply, scheduling, candidate support, ATS, assessments, onboarding, career site, and more), serving clients like Unilever, CVS Health, Pfizer, L’Oreal, Nestle, McDonald’s FedEx, Compass Group, Disney, and General Motors. The platform automates tasks such as screening for requirements, interview scheduling, reminders, offers, and new hire onboarding. And because it’s so easy to use, it helps companies radically improves time-to-hire and quality of hire. Based on my conversations with clients, Paradox can automate more than 90% of the end-to-end hiring process, saving hiring managers hours every week and increasing candidate conversion by more than 10 times. But this innovation did not happen overnight. As you know, going to a candidate website and looking for a job is a frustrating process. There are often hundreds of jobs listed, a complex scrolling website and very hard to even determine what job to apply for. You might argue that the website paradigm for job applications was never really a good idea in the first place. People don’t want to browse for jobs: they want to apply for a job that’s best for them. So the first thing Paradox did was create an easy to use assistant (Olivia) so candidates could ask questions and schedule interviews. And this meant that Paradox had to build integrations with every ATS and personal email and calendar tools out there. Then, as companies started to use Paradox for scheduling, the company added more. Today Olivia, the chatbot, can integrate with background check vendors, schedule interviews, deliver assessments (Paradox acquired a conversational assessment Traitify designed for this), and function as an ATS … all from a mobile phone. In many ways Paradox can be “the integration platform” for candidates and recruiters, stitching together the messy systems behind the scenes. This turned into a massive opportunity. Just as the Google Assistant or Siri hopes to be our single contact with the internet, Paradox partners with systems of record like Workday, SAP, and Oracle to bring conversational AI to any company. The company’s revenues have grown 11 times in the last four years, and are now nearly doubling each year. For customers Paradox has been amazing. As the candidate pipeline speeds up (by an order of magnitude), clients get higher quality candidates with dramatically reduced staff. (Staffing administrators can almost go away.) Consider high-volume hiring companies. These businesses (McDonald’s, Compass Group, Neighborly, FedEx, Disney) hire service-related workers on a regular basis. Their revenue is dependent on having enough people. With Paradox they can set up a “continuous recruitment process,” one that even hires people the same day they apply. Paradox has become essential to these companies growth, often paying for itself in less than a year (through reduced hiring staff, reduced spend on job ads, and reduced turnover.) Today, as Paradox built out its ATS, customers can rely on the platform to integrate front end tool (job portals and candidate support) to back end tools scheduling, ATS, onboarding) most of which are legacy. One of our clients has 27 recruiting tools and they anticipate replacing more than half of them with a platform like Paradox. What about higher level white collar roles? Paradox works here too. General Motors uses Paradox along with Workday (ATS), (branded Evie) to redesign the process. Interview Scheduling: Evie automates scheduling of phone screens and interviews between recruiters, candidates, and internal teams. This has reduced the time taken for interview scheduling from an average of five days to 29 minutes. Candidate Experience: Evie interacts with candidates from the moment they land on GM’s career site until the completion of their interview. Candidates appreciate the immediate communication from Evie after they apply or complete an interview, and enjoy the autonomy to select and change interview times. Efficiency and Cost Savings: The automation of interview scheduling has led to a major reduction in the cost of external contractors for coordination. Career Site Interaction: Evie sits on GM’s career site, answering questions from potential candidates about jobs, benefits, and company culture. This interaction enhances the candidate’s experience and provides them with immediate responses to their queries. Where Is Paradox Going The company is perfectly positioned to continue its growth as companies look for AI solutions to improve the productivity and effectiveness of recruiting. And demand is high: the 2024 PwC CEO survey found that recruiting was considered the #3 “most bureaucratic process” by CEOs (following email and meetings). The impact on recruiters? All positive. Clients tell us they can redeploy hiring staff to help recruiters focus on the most important part of their job: talking with candidates. But there’s a much bigger story. When a job candidate is handled efficiently and effectively the process becomes a brand-builder for the candidate, improving quality of hire. Ambitious job seekers will not put up with (or wait for) a messy, confusing hiring process. So not only is the process faster and more efficient, the quality of hire goes up. Companies are desperately looking for AI solutions that work. As Paradox has proven, when you focus deeply on the problem, conversational AI can be transformational. Listen to my conversation with Adam Godson (CEO) and you’ll hear the details. This is where the HR Tech market is going.
    效率
    2024年04月04日
  • 效率
    HR每年要与内部人工智能系统进行一场绩效对话 在当今日益依赖技术的商业环境中,人工智能(AI)已成为推动企业增长和效率的关键因素。AI的应用不仅仅局限于自动化任务,它还扮演着促进决策、增强客户体验及开拓创新的角色。 随着这些技术的不断发展,企业人力资源(HR)部门面临着一个新的挑战:如何有效地与AI系统进行绩效对话,以确保它们的最佳运作并符合组织的目标和价值观。 绩效指标的确定 有效的绩效对话始于明确的绩效指标。这些指标应反映AI系统的关键性能领域,包括但不限于准确性、效率、响应时间及客户满意度。例如,一个基于AI的客户服务平台的绩效可以通过其解决查询的速度和质量来衡量。 实践案例:伦敦一家零售企业的故事 一家位于伦敦的零售企业定期评估其AI驱动的库存管理系统。通过设定具体的绩效指标,如库存准确度和补货时间,该企业能够有效地监控和提升系统的性能,同时减少过剩库存和缺货情况。 设定评审周期 为AI系统设定一个固定的评审周期,有助于持续监控其绩效并及时调整。这不仅能确保AI的持续改进,也能帮助企业适应市场的变化。 伦理和合规性的重点 在与AI进行绩效对话时,不可忽视的是其伦理和合规性。企业应确保AI系统的设计和应用遵循数据保护法规,同时致力于消除算法偏见,确保公平性和透明性。 促进团队合作的策略 成功的AI应用需要人类团队的支持。定期组织跨部门会议,讨论AI系统的进展、挑战和改进方案,可以促进团队合作,增强人类员工和AI之间的协同效应。 创新与持续学习 AI系统应被视为一个持续学习和适应的实体。鼓励创新思维,定期评估AI系统如何支持新业务机会和流程优化,是确保企业长期竞争力的关键。 结语 与内部人工智能系统的绩效对话是一个动态的过程,它要求企业不断评估和调整其AI战略。通过明确的绩效指标、固定的评审周期、对伦理和合规性的重视、促进团队合作,以及持续的创新和学习,企业可以确保其AI投资不仅回报丰厚,而且与组织的长期目标和价值观保持一致。在技术不断进步的今天,维持这样的对话,意味着赋能企业不断向前发展。
    效率
    2024年02月11日