Solution: Technology

4 Cutting Edge Technologies Shaping the Future of Recruitment

Posted on by akessler

The talent acquisition landscape is undergoing a radical transformation. While artificial intelligence has been steadily entering the recruitment space for years, we’re now witnessing an unprecedented acceleration that’s redefining what’s possible. The statistics tell a compelling story: 75% of global knowledge workers now use Generative AI (Gen AI), with adoption nearly doubling in just six months. Yet only one in ten organizations have comprehensive strategies in place for AI integration. 

This gap between adoption and strategic implementation represents both a challenge and an opportunity for forward-thinking talent acquisition teams. Most organizations are still just scratching the surface of potential of AI for recruiting, with 60% using AI merely for résumé screening and only 7% leveraging it for advanced analytics. The result? A significant competitive advantage awaits those who can move beyond basic automation to true intelligence. 

Traditional recruiting technologies have served us well in streamlining workflows, but they often fail to address the core challenges of modern talent acquisition: identifying potential beyond credentials, predicting candidate success, scaling personalized experiences and making confident decisions in volatile labor markets. 

The next generation of AI in talent acquisition represents a fundamental shift from rules-based automation to learning systems that improve over time. While there is no “all-in-one” AI solution on the market, four key technologies are driving this transformation: 

Natural Language Processing (NLP) 

Natural Language Processing (NLP) is a branch of AI that enables computers to understand, interpret and generate human language. NLP has observed tremendous growth and innovation this year which can largely be attributed to breakthroughs in deep learning, especially the more advanced Large Language Models (LLMs). NLP can be used for tasks such as translating languages, summarizing texts, analyzing sentiments and even automating interactions. 

In talent acquisition, NLP powers numerous applications: 

  • Résumé Parsing: Automatically extracting relevant information from résumés and CVs to streamline candidate evaluation.
  • Automated Screening: Using text-based screening questions to qualify candidates based on essential criteria and analyzing their responses. 
  • Chatbots for Candidate Engagement: Providing real-time responses to candidate inquiries, guiding them through the application process, and enhancing their experience. 
  • Interview Transcription and Analysis: Transcribing live or recorded interviews and analyzing the content for key insights.
  • Diversity and Inclusion Monitoring: Analyzing language used in job descriptions and recruitment communications to reduce bias and ensure inclusivity. 
  • Personalized Communication: Customizing messages to include candidate names and specific role details, increasing engagement and reducing fallout. 

Machine Learning 

Machine learning (ML) is a subfield of AI that enables computers to learn and make decisions from data without being explicitly programmed. Algorithms identify patterns and insights in large sets of data, which are used to make predictions and improve processes over time. Essentially, it’s like teaching a computer to recognize trends and make smart choices based on past information. 

ML systems transform talent acquisition through: 

  • Candidate Sourcing and Matching: Leveraging precision algorithms to identify the best candidates from millions of profiles, including those likely to leave their current positions. 
  • Performance Metrics: Using data insights to track and improve recruiter and hiring manager performance. 
  • Diversity and Inclusion: Analyzing diversity metrics to support inclusive hiring initiatives. 
  • Adaptive Learning: Continuously improving the accuracy of sourcing and recommendations by learning from recruiter interactions. 
  • Trend Analysis: Identifying areas of success and opportunities for improvement through visual trend analysis. 

Predictive Analytics 

Predictive analytics use machine learning models to analyze historical data and make predictions about future events—forecasting trends, behaviors and outcomes. For example, in recruitment, predictive analytics can use ML models to predict future hiring needs based on past trends. 

Use cases for Predictive Analytics in talent acquisition include: 

  • Forecasting Future Hiring Needs: Predicting future recruitment demands based on historical data and trends. 
  • Optimizing Sourcing Channels: Identifying which recruitment sources yield the best candidates and maximize ROI to allocate resources effectively. 
  • Mitigating Turnover Risks: Identifying candidates more likely to leave their positions and prioritizing engagement with stable candidates. 
  • Enhancing Candidate Experience: Predicting and addressing bottlenecks in the recruitment process to improve candidate progression and satisfaction. 

Agentic AI 

Incorporating advanced technologies like machine learning and predictive analytics, Agentic AI systems are designed to act autonomously to achieve specific goals, executing multi-step processes without continuous human intervention—unlike traditional pre-programmed chatbots. Agentic AI is the most cutting edge, and potentially overhyped, emerging technology we’ll cover here, with most AI agents today resembling RPA, rather than being truly agentic. However, Deloitte predicts 25% of enterprises using generative AI will deploy AI agents in 2025 (increasing to 50% by 2027). 

In talent acquisition, Agentic AI can support: 

  • Recruiter Efficiency: Acting as proactive partners for recruiters by surfacing critical insights, predicting candidate behavior and identifying trends—allowing human professionals to focus on relationship building and complex negotiations. 
  • Dynamic Personalization: Autonomously tailoring content and communications to each candidate based on their browsing behavior, past interactions and career interests. 
  • Proactive Engagement: Anticipating needs and independently initiating relevant support by analyzing candidate data and behavior patterns. 
  • Advanced Question Handling: Managing FAQs and knowledge bases across multiple databases while continuously learning from interactions. 
  • Candidate Need Anticipation: Predicting trends and identifying candidates at risk of dropping out, even independently placing them into re-engagement campaigns. 
  • Cohesive Multichannel Experiences: Integrating data across all channels to create a complete candidate view and ensure conversation continuity across platforms. 

Preparing for the AI-Augmented Future 

As these technologies reshape talent acquisition, organizations must prepare strategically to harness their full potential. This preparation extends beyond technological implementation to encompass three critical dimensions: 

  1. The role of recruiters is evolving from process facilitators to strategic talent advisors. AI automates administrative tasks, freeing human professionals to focus on relationship building, understanding candidate motivations and serving as authentic employer brand ambassadors. This transition requires significant investment in upskilling. 
  2. Ethical considerations should be central to your strategy. As AI becomes more deeply embedded in recruitment processes, organizations must commit to responsible usage through rigorous auditing, fairness protocols and transparency with candidates about AI’s role in the hiring process. 
  3. The human element remains irreplaceable in recruitment, with technology serving to enhance rather than eliminate these essential human capabilities. The most successful organizations will be those that leverage AI to amplify human strengths—empathy, intuition, relationship building and complex decision-making—while automating repetitive tasks. This symbiotic relationship between human expertise and technological capability creates a recruiting function that is both more efficient and more effective at identifying, engaging and securing top talent. 

      The future of talent acquisition belongs to those who can move beyond basic automation to embrace truly intelligent systems that enhance human capabilities. By understanding and strategically implementing these four cutting-edge technologies, organizations can position themselves at the forefront of recruitment innovation for years to come. 

      Ready for what AI will bring to the future of recruitment? Download our comprehensive ebook to discover how emerging technologies can give you a competitive advantage. 

      The Future Outlook of AI in Talent Acquisition 

      Posted on by akessler

      While artificial intelligence (AI) has been a buzzword in recruitment for years, most organizations are only scratching the surface of its true transformative potential. The evolution of AI in talent acquisition from basic automation to genuine intelligence represents both a challenge and an unprecedented opportunity for forward-thinking talent leaders. 

      AI—particularly generative AI (Gen AI)—has disrupted recruitment as we knew it. In just a few short months, AI evolved from an abstract concept to a tangible force radically impacting businesses worldwide. According to the global Work Trend Index, produced by LinkedIn and Microsoft, 75% of global knowledge workers now use Gen AI, with adoption nearly doubling in just six months. 

      Yet despite this rapid adoption of AI in recruiting, there’s a significant gap between implementation and strategic integration. Only one in ten organizations has “broad leadership alignment, comprehensive tools and strong processes in place for Gen AI adoption.” This disconnect highlights a critical strategic challenge for talent acquisition leaders.  

      Moving Beyond Automation 

      While 63% of organizations now use some form of AI in their recruitment processes, most current implementations focus on basic automation—but this represents only a fraction of AI’s potential value. Traditional recruiting technologies, while effective at streamlining workflows, often fail to address the core challenges facing modern talent acquisition teams: 

      • Identifying true potential beyond traditional credentials 
      • Predicting candidate success and retention 
      • Scaling personalized candidate experiences 
      • Making confident decisions in dynamic labor markets 

      Preparing for the AI-Augmented Future 

      Organizations are entering a critical phase of AI integration that demands strategic preparation across multiple dimensions. The future of talent acquisition will be defined not just by technological capabilities, but by how effectively companies develop comprehensive AI strategies, establish ethical governance and manage organizational adoption.  

      Talent acquisition leaders must prepare for a future where AI not only transforms recruiter roles and reshapes workforce skills, but also demands a renewed commitment to maintaining human-centered, ethical hiring practices. 

      The Evolution of Recruiter Roles 

      AI is fundamentally reshaping the role of a recruiter into one of a strategic talent advisor. By automating administrative tasks, AI frees recruiters to focus on high-value activities like building relationships, understanding candidate motivations and serving as authentic employer brand ambassadors.   

      However, this transformation requires significant investment in upskilling. Talent acquisition leaders must invest in training their recruiters to work alongside AI, helping them develop new competencies in writing prompts and critical evaluation of AI-generated recommendations.  

      The AI-Augmented Workforce 

      It’s not only recruiters whose jobs are being transformed—the demand for AI-savvy talent is accelerating rapidly across all industries, and talent acquisition leaders must proactively prepare their organizations for significant changes in skill requirements and job roles. According to research from World Economic Forum, almost half (44%) of workers’ core skills will be disrupted by technology and the skills sought by employers in occupations with the most AI use are changing 25% faster than in other occupations.   

      This means developing strategies to identify and attract candidates with both technical competencies and adaptable mindsets who can thrive alongside AI systems. Organizations need robust upskilling programs to help existing employees transition into new AI-augmented roles, while simultaneously building hiring frameworks that evaluate candidates’ potential to learn and evolve with emerging technologies.   

      The Human Element & Ethical AI in Talent Acquisition

      Despite the technological advances, the human element remains the cornerstone of successful talent acquisition. According to research from Workable, 15% of organizations rely exclusively on human judgment, while 57% use AI only as a supportive tool. 

      This balanced approach recognizes that AI excels at data processing, pattern recognition and routine task automation, while humans bring emotional intelligence, complex decision-making abilities and a nuanced understanding of context and culture. 

      As AI becomes more deeply embedded in recruitment processes, ethical considerations will be paramount. Organizations must commit to responsible AI usage by implementing rigorous auditing processes, ensuring fairness and maintaining transparency with candidates about AI’s role in the recruitment process. This human-centered approach is crucial for maintaining trust and mitigating potential biases that could emerge from automated systems.  

      👉 Learn more about implementing ethical AI practices. 

      AI in Talent Acquisition: Intelligence, Not Just Automation 

      The future of AI in talent acquisition lies not in basic automation but in truly intelligent systems that enhance human capabilities. Organizations must evolve to embrace AI capabilities that provide deeper insights and enable more informed decision-making. 

      This evolution requires significant investment in AI across the talent tech ecosystem while maintaining unwavering focus on the human element that makes recruitment successful. Those who adapt their strategies and technologies to this new paradigm will be better positioned to identify, attract, and retain top talent in an increasingly competitive landscape. 

      Ready to move beyond basic automation and transform your talent acquisition function with AI? Download our comprehensive ebook to discover how emerging AI technologies can give your organization a strategic competitive advantage in the battle for talent.

      The Future of AI in Talent Acquisition

      Posted on by akessler

      The Future of AI in Talent Acquisition

      Moving Beyond Automation to Transformation

      The AI revolution in talent acquisition isn’t coming—it’s already here.

      AI solutions are promising more than just automating tasks—they’re redefining what’s possible. These intelligent systems bring unprecedented pattern recognition, unmatched processing power and the ability to uncover hidden talent insights. But they’re also demanding a new approach: ethical implementation, strategic integration, and a genuine commitment to enhancing the human experience.

      Can your recruitment strategy keep up?

      From predictive analytics that forecast candidate success to AI-powered personalization that delivers white-glove experiences at scale, this ebook, The Future of AI in Talent Acquisition: Moving Beyond Automation to Transformation, is your roadmap to building an intelligent recruiting function now and into the future.

      In this ebook, you’ll discover:

      • What’s driving AI to move beyond basic automation to true intelligence
      • Why your current tech implementation is capturing only a fraction of AI’s potential
      • Emerging technologies and how they could impact recruitment
      • Strategies to balance technological advancement with the irreplaceable human elements of recruiting

      Download your copy today and position your organization at the forefront of talent acquisition innovation for years to come.

      Digital Sourcing Strategy and Centralization Reduced Time-to-Hire by 20%

      Posted on by akessler
      Digital Sourcing Strategy and Centralization Reduced Time-to-Hire by 20%

      Retail RPO

      Digital Sourcing Strategy and Centralization Reduced Time-to-Hire by 20%

      A leading retailer needed to remake its application process, which was long and difficult for candidates. PeopleScout implemented a shortened, mobile-first application process and expanded the client’s sourcing strategy.

      6,800 annual hires
      85 % application conversion rate, up from 35%
      20 % reduction in time-to-hirereduction in time-to-hire

      Situation

      A leading retailer engaged with PeopleScout to improve their application process. Despite having a well-known and well-loved consumer brand, the retailer relied on job boards to bring in candidates. The client’s application took 30 minutes to complete, and could not be completed on a mobile device, alienating or inconveniencing many job candidates.

      The client knew it was losing a large portion of applicants because of its cumbersome application process. To apply, candidates needed access to a computer to fill out a 30-question application that took half an hour to complete—even for part-time positions.

      The client engaged with PeopleScout, looking for a partner with technology and candidate experience expertise to remake the entire recruitment process in order to place the candidate at the center.

      Solution

      Expanded Sourcing Strategy

      PeopleScout worked with the client to carefully craft an expanded sourcing strategy, including targeted digital recruitment marketing centered on attracting, engaging and converting candidates in online spaces. The strategy was focused on people who have an affinity for the client’s brand but may not be actively looking on job boards. Then, PeopleScout was able to drive those candidates to a quick, easy mobile apply process.

      Mobile-first Apply

      PeopleScout developed a mobile-first application designed to work easily through a smartphone and reduce candidate fall out. The new application is completed by all candidates, regardless of role.

      Shortened Application

      The new application includes just 11 questions on one page and takes less than eight minutes to complete. The client worked with PeopleScout to reduce the amount of information asked from candidates during the application stage in order to streamline the process.

      Results

      Half of Candidates Now Apply on Mobile

      Nearly two-thirds (65.9%) of all candidates applying to this client now apply through a mobile device. Before working with PeopleScout, the client was excluding or at the very least inconveniencing a large portion of its talent pipeline.

      Application Time Reduced From 30 Minutes to Less Than Eight

      Applicants can consistently complete the application in eight minutes or less, with some candidates able to complete it in as little as six minutes.

      Application Conversion Rate

      The application conversion rate rose to 85% with the new shortened mobile application process. The rate for a traditional application is around 35%.

      Broadened Talent Pipeline, Improved Candidate Quality and Shortened Time to Hire

      The client no longer relies solely on job boards to build their pipeline and relies on a variety of sourcing strategies. This led to hiring of quality candidates, improving the slate-to-hire to one candidate hired for every 1.3 presented and shortened time-to-hire by more than 20%.

      At a Glance

      • COMPANY
        Leading retailer
      • PEOPLESCOUT SOLUTIONS
        Recruitment Process Outsourcing, Affinix
      • ANNUAL HIRES
        6,800

      Amplifiers™: Technology Diagnostic

      Posted on by akessler

      PeopleScout Amplifiers™: Technology Diagnostic

      As part of our suite of modular recruiting solutions, Amplifiers™, our Technology Diagnostic cuts through the complexity to analyze your current talent tech stack to identify inefficiencies, streamline workflows and maximize your ROI. Whether youʼre integrating AI, enhancing analytics or optimizing processes, our experts provide a clear, actionable roadmap that transforms disconnected tools into a talent tech ecosystem designed to meet your unique needs

      Download this fact sheet to learn more.

      Download Fact Sheet

      Learn more about PeopleScout’s Amplifiers™ and get answers to frequently asked questions (FAQs).

      Learn More

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      AI Candidate Sourcing: How AI Is Transforming Talent Discovery

      Posted on by akessler

      With today’s skills shortages, recruiters are facing a more and more daunting challenge of identifying and engaging qualified candidates efficiently. Artificial intelligence (AI) has emerged as a game-changing technology in the recruitment process, particularly in talent sourcing. AI candidate sourcing represents a significant advancement, helping organizations go from manual database searches, job board postings and referral networks to fast, automated processes. 

      According to a survey by Workable, 63% of organizations now use some form of AI in recruiting. But only 8% use AI for candidate sourcing. By thoughtfully integrating AI into sourcing strategies, talent acquisition teams can spend less time searching for candidates and more time building meaningful connections.  

      This article explores how AI sourcing tools are transforming recruitment strategies and offers practical insights for organizations looking to enhance their talent acquisition efforts. 

      The Evolution of AI Candidate Sourcing 

      The digital transformation of recruitment began with the advent of applicant tracking systems and online job boards, but AI has taken sourcing capabilities to unprecedented levels. AI excels at scale. By analyzing a massive data set of millions of pieces of information including online candidate profiles, AI can identify candidates within minutes. For example, Affinix®, PeopleScout’s proprietary total talent suite of AI-powered tools, accesses over 1.3 billion public profiles of passive candidates across 23 of the top global job sites within seconds of a requisition opening.  

      Key Capabilities of AI Candidate Sourcing 

      AI sourcing has revolutionized talent discovery, empowering organizations to identify, assess and engage talent with remarkable precision and efficiency. Here a few of the benefits of AI sourcing tools. 

      1. Advanced Candidate Matching 

      AI algorithms excel at pattern recognition and can analyze vast datasets to identify candidates whose skills, experience and potential align with job requirements, including passive candidates who may not be actively job searching but have the right qualifications. These individuals rarely respond to traditional job postings, making them invisible to conventional recruitment methods. AI candidate sourcing excels at identifying hidden gems based on their digital footprints and professional activities, enabling recruiters to engage with talent that would otherwise remain undiscovered. 

      Unlike traditional keyword matching, modern AI sourcing tools leverage skills matching with sophisticated natural language processing and machine learning algorithms to comprehensively analyze candidate profiles. By understanding semantic relationships between skills, experiences, and job requirements, leading technologies can create nuanced candidate rankings, allowing recruiters to rapidly filter through candidates and automatically generating a prioritized shortlist of top talent that precisely matches the role’s requirements. Recruiters can now focus their valuable time on engaging with the most promising candidates, rather than getting bogged down in manual screening processes.  

      2. Expanded Talent Pool Access 

      AI candidate sourcing dramatically expands recruiter reach by continuously scanning multiple sources simultaneously, creating a comprehensive talent mapping solution that would be impossible to achieve manually. Professional networking sites like LinkedIn represent just the beginning. AI sourcing extends to portfolio platforms like Behance and Dribbble for creative roles, GitHub repositories for technical talent, specialized industry forums where experts engage, academic publications that showcase research credentials, and even carefully analyzed social media profiles that reveal professional interests and accomplishments. In addition to external candidate profiles, Affinix also searches your existing talent database to support direct sourcing, internal mobility and redeployment. 

      AI sourcing tools look at qualifications and experiences across industries, opening doors to talent that might otherwise be missed. For example, AI sourcing might identify that project management experience in healthcare could translate effectively to similar roles in education or technology, despite the different industry contexts. This cross-industry perspective is particularly valuable in today’s market where career pivots are increasingly common, and skills transferability is highly valued. 

      3. Reduced Bias with AI Candidate Sourcing 

      AI tools can help mitigate unconscious bias in sourcing by helping you create objective evaluation frameworks that focus on skills and qualifications, regardless of demographics. By emphasizing capabilities and potential over education, pedigree, or other factors that can trigger unconscious bias in humans, these systems help create a more equitable initial candidate pool.  

      By ensuring that every potential hire is assessed against the same objective benchmarks and that hiring managers review qualified candidates from varied backgrounds, AI sourcing tools widens the lens through which talent is viewed, helping companies build more diverse and innovative teams while reducing adverse impact. 

      Ethics & Bias Prevention in AI Candidate Sourcing 

      Continuous bias detection and mitigation have become fundamental to implementing AI sourcing tools to neutralize potential discrimination in candidate selection. TA teams must collaborate with legal and IT teams to conduct detailed examinations of candidate recommendations and conduct regular audits. Cross-functional collaboration will help organizations navigate the complex legal landscape of AI for recruiting while creating more objective, inclusive talent acquisition strategies. 

      How AI Candidate Sourcing is Impacting Recruiters 

      The advent of AI sourcing tools has fundamentally reshaped the recruiter’s role, shifting their focus from administrative task management to high-value activities. Where recruiters once spent countless hours manually searching and screening résumés and CVs, AI now handles these time-consuming processes, elevating the recruiter’s role to that of a strategic talent advisor. Recruiters now invest their energy in complex negotiation, relationship building and deep candidate engagement.  

      AI Candidate Sourcing & RPO 

      Recruitment process outsourcing (RPO) providers are at the forefront of leveraging advanced AI sourcing technologies. By leveraging AI candidate sourcing through our proprietary tech suite, Affinix, PeopleScout can process vast amounts of candidate data, identify top talent, and create highly targeted talent pools that would be impossible to develop through traditional recruiting methods. Affinix has a proven track record of dramatically reducing time-to-hire and creating cost savings for our clients. As organizations continue to face complex talent challenges in a rapidly evolving global marketplace, AI-powered RPO solutions represent a critical strategic approach to building agile, competitive workforces that can adapt to emerging business needs. 

      Recruitment Technology: How to Build the Ultimate Ecosystem for Talent Acquisition 

      Posted on by akessler

      Digital transformation has hit HR, and the world of recruitment is running to keep up with the growth of mobile apps, generative artificial intelligence (Gen AI) and analytics. Candidates expect a tech-enabled recruitment experience, and building a talent acquisition technology ecosystem has gone from a nice-to-have to a critical part of the recruitment strategy for any enterprise. However, with the influx of new talent acquisition technology—from foundational platforms like an ATS to point solutions for sourcing, interviewing or recruitment marketing—it can be hard to navigate the recruitment technology landscape and know where to invest your budget. 

      In this article, we’ll help you make sense of all the available talent tech and how each recruitment system can benefit your business. You’ll learn some important things to keep in mind as you build your tech stack. Plus, we’ll provide some details on what features to look for as you evaluate solutions. 

      Working with a Recruitment Technology Capable RPO Partner 

      One of the biggest value-adds that recruitment process outsourcing (RPO) brings is experience with the latest talent technology innovations. An RPO partner can help you assess talent acquisition software to address all aspects of your recruiting process, from identifying talent to creating a more efficient candidate experience. Your provider can show you how technologies like AI and predictive analytics can boost your ability to attract top talent.  

      In addition to consulting, some RPO providers are investing in proprietary technology solutions including application tracking systems (ATS), candidate relationship management (CRM), recruitment marketing capabilities and analytics. This can come in the form of an integrated suite, providing a modular approach that lets you add and remove solutions from your tech stack as your needs change. 

      All-in-One Recruitment Technology Suite vs Integrated Systems 

      Any organization looking to update their recruitment tech ecosystem will enter the comprehensive suite or separate tools debate. Should we go for a system that’s already integrated or build our own?  

      While the idea of a plug-and-play experience, in which you easily add new functionality to your repertoire, has allure, in reality it’s easier said than done. There’s wading through the vast HR tech marketplace to find potential solutions, researching multiple providers, negotiating a different contract for each system, going through implementation, onboarding and training for each tool, managing multiple vendor relationships and so on. Then, you’ve got to get all the systems to integrate and speak to each other in order maximize the benefits of AI, automation and analytics.  

      On the other hand, an all-in-one talent suite eliminates the complexity and inefficiencies of pieced-together systems. For example, Affinix®, PeopleScout’s proprietary total talent suite of AI-powered tools, unites applicant tracking, candidate relationship management, recruitment marketing, digital interviewing and talent analytics. Unlike fragmented solutions that require multiple integrations and manual workarounds, a comprehensive platform offers seamless, end-to-end functionality that is both flexible and focused on user experience—both the candidate as well as the hiring manager, talent acquisition leaders and recruiters. Plus, there’s just one contract to negotiate and one vendor to manage.  

      Look for a suite built as modules. This gives you the best of both worlds, letting you add to your ecosystem at your own pace, with pre-integrated modules accessible in one seamless interface and a consistent user experience across applications. With Affinix, our flexible deployment options and modular approach lets you can mix and match capabilities and build the perfect recruitment ecosystem for your needs. 

      Whether you’re going for integrating separate tools or a unified suite, your goal should be a seamless user experience, single-user login, and an uninterrupted flow of data between systems to enable you to get the most from AI and analytics.  

      A Word on Security 

      Any technology you add to your talent ecosystem must comply with data privacy regulations in all regions where you’re recruiting. Pay attention to any rules about where data can be stored, like those stipulated by the GDPR. Look for tools that are ISO/IEC 27001:2022, which shows the provider maintains a high level of information security.   

      Building Your Recruitment Technology Ecosystem 

      Now that we’ve covered some important things to keep in mind when evaluating software, here are some solutions and features that make up the ultimate recruitment technology ecosystem. 

      Applicant Tracking System (ATS) 

      An ATS is the foundation upon which you will build your tech stack. This platform acts as the system of record for your talent acquisition program. As a repository for applicants, it helps you manage the hiring process for all your requisitions and satisfies compliance requirements for record keeping. 

      Look for a platform that lets you put the candidate in the driver’s seat by letting them self-progress through the process with a mobile-optimized, digital experience. A system with configurable workflows will let you streamline everything from candidate screening, scoring, assessments, reference and background checks, interview scheduling and sending SMS and email communications. Not only does this boost recruitment speed for the candidate, but it also reduces the workload for hiring managers.  

      Affinix’s new Hiring Manager Dashboard provides access to a real-time dashboard via desktop or mobile device. Hiring managers can open and approve requisitions for automated job posting, review applicant shortlists, check on candidate progress, schedule and reschedule interviews, submit and manage candidate feedback, and create and approve offers—whether they’re at their desk, on the warehouse floor or supervising from the shop floor. 

      AI Sourcing & Matching 

      AI-powered sourcing tools review, sort and rank talent on the open web using sourcing criteria you’ve previously specified like current or past job titles, previous employers, diversity attributes, industry experience and more. Algorithms crawl résumés and CVs, social media profiles and other sources of data to find a pool of candidates that match your job requirements, help you find and engage candidates faster for lower cost-to-hire. 

      Affinix AI sourcing accesses over 1.3 billion public profiles across 23 of the top global job sites within seconds of a requisition opening. It then matches skills based on your job requirements to surface a pool of the best candidates. Pulled in passive talent from external databases or from your existing talent database to support direct sourcing, internal mobility and redeployment. 

      AI in Recruiting: A Handbook for Talent Acquisition Leaders

      Candidate Relationship Management (CRM) Software 

      A CRM helps you to nurture candidates through automated SMS/text and email campaigns and more—whether to keep them informed during an active application process or to keep them warm until a suitable position opens up. Create talent pools based on geographies, job type, skills and more and personalize communication to the candidate for a more engaging experience. 

      Leading CRM platforms can supercharge your talent pipeline by creating a multi-channel approach to finding talent. For example, Affinix CRM includes a drag-and-drop career site builder for both external and internal career sites and employee referral portals. In addition, it has built-in integrations with all major job boards, including LinkedIn and Indeed, as well as a job feed gateway to support connections with niche sites. Combined with our AI sourcing and matching capabilities, you can create the ultimate pool of best-fit talent, reducing time-to-hire, maximizing your recruitment marketing budget and boosting ROI. 

      Direct Sourcing Technology 

      With the growth of the gig economy and blurring of lines between full-time and temporary employment, workers who traditionally seek full-time employment are increasingly willing to take up temporary placements—and vice versa. Organizations that create and nurture blended talent pools of both permanent and contingent workers through direct sourcing technology can bypass traditional recruitment channels and connect with top talent in a more personalized and efficient manner.   

      Look for solutions that offer AI-powered matching capabilities, which can dramatically improve the speed and accuracy of candidate selection. Affinix uses AI to form combined talent pools from external sources as well as talent rediscovery—whether they’re new to you, previous applicants or contractors, individuals who have filled out an expression of interest form for the role, or silver/bronze medalists from previous requisitions—to engage or re-engage talent with relevant skills and experience. 

      What is Direct Sourcing? Why It Could Open the Door to Total Talent Acquisition  

      Recruiting Chatbot 

      Powered by natural language processing (NLP) and large language models (LLMs), chatbots are a conversational interface that can help candidates through the recruitment journey. Unlike recruiters, chatbots are available 24/7 to provide real-time responses to candidate inquiries, help with the application process, complete initial screening steps and schedule interviews. This reduces the burden on recruiters and hiring managers by taking on some frequently asked questions from candidates about your employer brand, culture and diversity and inclusion. 

      Digital Interview Management System 

      Modern candidates expect the hiring experience to be personal, quick and convenient. A dedicated digital interview solution can help you quickly hire the essential talent you need, no matter where they live or how the demand for remote working changes. Rather than just leveraging video meeting tools, a dedicated digital interview tool offers multiple options for virtual interviews, including text interviews, recorded video interviews or live interviews. Self-scheduling tools and automated candidate advancement tools help dramatically boost retention and connection. 

      Assessment Tool 

      Digital assessment solutions examine the candidate’s writing samples and skills test responses to measure aptitude, personality and skills using predictive analytics and machine learning, ensuring you hire the highest quality talent. Platforms may let you create a custom assessment or let you choose from a suite of pre-built skills assessments. Assessments range from code evaluations for software development roles to language aptitude tests—on-demand or live. Make sure you look at the assessment experience from both the candidate and hiring manager experience before committing to a tool. 

      Integration is important for assessment solutions as it facilitates automated workflows, so candidates get notified of next steps via email or text based on their results.   

      Learn more about our expert organizational psychologists in our Assessment Design & Delivery teams. 

      Recruitment Analytics 

      With data flowing across your integrated systems, a recruitment analytics platform offers you a single source of truth for understanding your end-to-end recruitment process. Whether you’re hoping to track time-to-fill, DE&I efforts or overall talent acquisition performance, these tools will satisfy your C-suite’s hunger for insights into your recruitment program. 

      Look for a tool with interactive dashboards that make it easy to visually monitor trends and slice and dice the data to identify areas of opportunity—and gain the full value of your recruitment data. Leading analytics tools connect real-time recruitment analytics and talent market intelligence while pulling in business intelligence from across your business to elevate your talent strategy measure talent acquisition performance against organizational goals.  

      Look for solutions that offer predictive analytics capabilities, in which artificial intelligence and machine learning highlight insights, anomalies and predictions to empower your teams. This helps you understand the behaviors of top talent and predict factors such as cultural fit, willingness to change companies, and future tenure potential to improve hiring speed and accuracy over time. 

      Onboarding Software 

      The new hire onboarding process is an essential element of creating a positive employee experience. Not only should it get new employees up-to-speed at your company and in their role, there’s also crucial paperwork steps for payroll, taxes, benefits and more.  

      Digital onboarding software automates and supports the onboarding process—especially important for remote workers. Affinix lets candidates view, digitally sign and accept their offers quickly from a personalized online portal. Hiring managers can craft and customize digital offer letters, ensuring that offers are fast, compliant and aligned with company policies.  

      For your HR staff, it reduces administrative effort by automating repetitive onboarding tasks like sending new hire reminders, tracking document completion and updating systems. Make sure you consider integration with your HRIS and payroll systems to eliminate manual data entry and reduce errors.  

      Internal Mobility Software 

      It’s no secret how important internal mobility can be for retaining employees and saving on sourcing costs. The good news is that a whopping 70% of employees would explore opportunities within their current organization before looking externally, according to our research, The Skills Crisis Countdown.  

      An internal mobility platform should allow you to share vacancies internally and give existing employees the opportunity to submit an expression of interest form to be added to the talent pool. Look for a tool that offers hiring managers a seamless experience by letting you post to both internal and public job boards. AI matching and search should extend to existing employees, helping you identify internal candidates with relevant skills. Hiring managers should be able to view internal and external candidates together in one place, with internal candidates uniquely identified. The system should feature automated invitation emails to qualified internal candidates to speed up time-to-fill and reduce administrative burden. 

      Navigating Recruitment Technology: From Complexity to Clarity 

      The recruitment technology landscape is complicated, with new solutions being added all the time. It can be confusing to plan a talent acquisition tech stack but selecting the right tools can boost access to data and help you create both operational and cost efficiencies. Employers should work with an RPO partner who can help them customize a technology ecosystem that meets their needs now and prepares them for what’s next. 

      TrueBlue’s PeopleScout Advances Proprietary Talent Tech Affinix® with AI-Powered Capabilities and Modular Design

      Posted on by lloftus

      Enhanced Affinix® suite delivers a seamless candidate experience, and transforms recruitment data into actionable business insights 

      TACOMA, Wash. – January 29, 2025 – TrueBlue (NYSE: TBI), a leading provider of specialized workforce solutions, today announced that PeopleScout, a global talent solutions provider, unveiled strategic enhancements to Affinix®, its proprietary total talent software technology suite, underscoring the company’s commitment to innovation as it elevates employers’ connection to top talent.  

      To stay ahead of rapidly changing market conditions and technological advancements, PeopleScout continues to evolve its AI-powered recruitment tools to provide unmatched flexibility and insight for talent leaders seeking to transform their recruitment strategies. 

      “At TrueBlue, we are committed to helping our clients address their most pressing talent challenges through our differentiated proprietary technology,” said Taryn Owen, President and CEO of TrueBlue. “As we advance Affinix with AI-powered capabilities, more agile deployment models, and greater insights, we elevate our clients’ connection to top talent while furthering our mission to connect people and work.” 

      Key enhancements to Affinix include: 

      • AI-Powered Precision: Advanced artificial intelligence capabilities that help recruiters identify potential candidates and improve hiring outcomes 
      • Flexible Deployment: A modular approach enabling organizations to select and integrate specific tools that align with their unique talent needs 
      • Comprehensive Analytics: A fully configurable business intelligence and analytics suite provides a full picture into hiring 

      The Affinix total talent technology suite connects critical recruitment technologies including applicant tracking, candidate relationship management, digital interviewing and talent analytics. The platform helps employers: 

      • Reduce recruitment costs: Intelligent budget mapping and real-time spend analytics eliminate inefficiencies and optimize recruitment investment 
      • Improve hire quality: AI-powered tools help recruiters align candidate skills and qualifications with organizational needs 
      • Accelerate time-to-hire: Streamlined automated workflows and smart candidate routing accelerate recruitment processes, transforming traditional hiring timelines 
      • Enhance candidate experience: The digital-first, personalized platform puts candidates in control and creates engaging, frictionless interactions 
      • Gain deeper talent insights: A unified analytics dashboard transforms recruitment data into actionable business intelligence 

      “Every feature of Affinix is shaped by real-world recruitment challenges and designed to deliver tangible business impact,” said Rick Betori, President of PeopleScout. “This evolution of our proprietary technology exemplifies how we’re transforming talent acquisition technology to give our clients a decisive competitive advantage in today’s dynamic labor market.” 

      Built by in-house recruitment technology experts, Affinix has been regularly enhanced since its inception to leverage emerging technology and address the most pressing challenges in talent acquisition. The technology suite now offers a modular approach, allowing organizations to configure their recruitment ecosystem to fit their unique needs. Options range from a quick deployment model which keeps Affinix as a standalone, to full integration with existing systems, or direct access for clients’ internal recruitment teams.  

      PeopleScout elevates employers’ connection to top talent with a unique approach that combines market intelligence, creativity and technology. The company delivers global talent solutions providing unmatched scalability to meet professional, specialist, volume and contingent hiring needs of organizations of all sizes and across all sectors. The company’s proprietary total talent acquisition suite, Affinix, is embedded within the company’s custom talent solutions and delivers speed and scalability while leveraging AI, recruitment marketing, machine learning, predictive analytics and other emerging technology.  

      Discover the enhanced capabilities of Affinix and how PeopleScout is transforming talent acquisition at PeopleScout.com. 

      About PeopleScout  
      PeopleScout, a TrueBlue (NYSE: TBI) company, is a global talent solutions leader that provides unmatched scalability to meet the hiring needs of organizations of all sizes. It connects clients with top talent through Recruitment Process Outsourcing (RPO), Managed Service Provider (MSP), Total Workforce Solutions, and talent and technology advisory services. PeopleScout is helping talent leaders harness the power of data, drive decisions and exceed expectations through tech-charged solutions founded on machine learning and AI. PeopleScout’s legacy of service and partnership has led to consistent recognition as a leader by industry analysts. For more information, visit www.peoplescout.com.    

      About TrueBlue  
      TrueBlue (NYSE: TBI) is a leading provider of specialized workforce solutions that help clients achieve business growth and improve productivity. In 2023, TrueBlue served 67,000 clients and connected approximately 464,000 people to work. Its PeopleReady segment offers on-demand, industrial staffing; PeopleScout offers recruitment process outsourcing (RPO) and managed service provider (MSP) solutions to a wide variety of industries; and PeopleManagement offers contingent, on-site industrial staffing and commercial driver services. Learn more at trueblue.com.  

      Press Contact 
      Taylor Winchell 
      Senior Manager, External Communications 
      pr@trueblue.com 
      +1-253-680-8291 

      Gen AI & Interviews: Navigating the Impact in Volume Assessment

      Posted on by akessler

      By Amanda Callen, Psychol AFBPsS FRSA, Head of Assessment Design

      Pre-recorded or asynchronous video interviews have long been a core feature in volume assessment processes, valued for their ability to evaluate key criteria like motivation and verbal communication skills. But the rapid increase in accessible Generative AI (Gen AI) tools has created a significant potential risk of disruption to the expected levels of authenticity in answers and to the predictive strength of online interviews as a sifting tool.

      PeopleScout’s year-on-year volume assessment data has so far shown little evidence of disruption following the introduction of free Gen AI tools like ChatGPT, but the potential for manipulation is undeniable. Realistically, we must expect that when candidates are given time to prepare responses, some will choose to use the tools to enhance their own pre-recorded video interview answers.

      So, what can you do to protect the integrity of video interviews?

      Should Preparation Time Be Scrapped?

      Although an understandable initial response might be to prevent candidates from using Gen AI by removing preparation time and requiring instant responses, this approach could introduce new problems. Interview processes where there is no chance for the candidate to gather their thoughts may disadvantage neurodivergent candidates or those who have had less social and educational support for their job search. This could create a negative impact on inclusion and diversity goals.

      Introducing a Second Assessment Point

      If you want to keep the pre-recorded interview stage, you could consider introducing a second assessment point for the same criteria evaluated in the pre-recorded interview at a later stage, such as during an in-person interview or an assessment centre. Comparing performance and content shared at the different stages, allows assessors to identify people whose answers indicate inconsistency across stages.

      Are Only Live Interviews Both Safe and Fair?

      Face-to-face live interviews seem protected from any interference from real-time use of Gen AI to produce inauthentic responses. However, new Gen AI capabilities mean that virtual live interviews, such as those conducted via Zoom or Teams, are not completely safeguarded from Gen AI use.

      Whilst to date it is has been difficult for candidates to use Gen AI without detection, new AI tools can ‘listen’ and provide natural responses in real-time. This, combined with advancements in gaze management technology, means that during virtual live interviews, candidates can read off AI generated responses while appearing to still maintain eye contact—and assessors may be unable to tell anything is amiss. There are even new Gen AI tools specifically marketed to job seekers that claim success in helping interviewees.

      The Need for a Systemic Approach

      Dropping pre-recorded or virtual interviews completely isn’t always optimal—especially with high-volume hiring. Simply taking them out of the process could lead to less holistic and effective sifting and a greater number of candidates being manually assessed. A more systemic response to the challenges posed by candidates using Gen AI is needed.

      A review of your end-to-end assessment process and the individual assessment methods within it will give you an opportunity to evolve and improve your assessment to ensure the quality and fairness of hiring decisions are maintained despite candidate use of Gen AI.

      Redefining Success Criteria

      For many roles it is essential to include the motivation and skills needed to work with new Gen AI tools as part of the assessment criteria. A strong assessment process that embraces innovation ensures that candidates are not only evaluated on established success criteria but also on their potential to develop the skills that will help them succeed in a workplace where the ability to leverage AI and other emerging and future technologies is a pivotal factor in organisational success.

      While there are no easy answers to the challenges created by candidates using Gen AI, a managed and systemic approach to evolving your assessment processes will help you capitalise on opportunities and ensure a fair and effective hiring process. Want to explore more about the impact of Gen AI on interviews? Watch our webinar on-demand, Job Interviews & Gen AI: Pitfalls & Best Practices to Hire Top Talent.