How RPOs Can Win More Clients by Leveraging Tech-Enabled Hiring

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The RPO industry is changing. Fast.

Clients expect faster hiring, lower costs, and better candidate quality, all while navigating talent shortages and increasing competition. But traditional RPO models—manual processes, recruiter-heavy workflows, and outdated tech stacks—aren’t built for speed and scalability.

To stay ahead, RPOs need more than just great recruiters. They need technology that automates the repetitive, enhances candidate experience, and delivers better hiring outcomes—at scale.

The firms that leverage tech strategically will win. The ones that don’t? They’ll struggle to keep up.

Here’s how tech-enabled hiring is helping RPOs attract more clients, deliver faster results, and drive real hiring ROI.

1. Speed Wins: How Tech Cuts Time-to-Hire in Half

Time kills deals—and it kills great hires, too.

The best candidates are off the market in 10 days (LinkedIn). Yet, the average time-to-hire? 44 days (SHRM). That’s a huge gap that costs clients top talent and revenue.

How tech changes the game:

  • AI-powered sourcing can scan millions of profiles in minutes, surfacing top candidates 10x faster than manual searches.
  • Automated screening tools filter out unqualified applicants instantly, saving up to 30% of recruiters’ time.
  • Smart scheduling eliminates the back-and-forth, reducing interview coordination time by up to 50%.

RPOs using automation cut time-to-hire by an average of 40%, according to Aptitude Research. Faster hiring = happier clients and stronger retention.Client outcome: A global RPO firm reduced time-to-fill by 12 days by automating candidate outreach and screening—leading to a 32% increase in client satisfaction.

2. Cut Costs, Not Quality

RPOs live and die by their ability to deliver talent at a lower cost than in-house teams or agencies. But when hiring is manual, slow, and inconsistent, those cost savings disappear.The numbers tell the story:

  • The average cost-per-hire is $4,700 (SHRM), but that jumps to $10,000+ for senior roles.
  • Companies using AI-driven recruitment tech reduce cost-per-hire by 35% on average (Gartner).
  • Automating key hiring processes can cut recruiter workload by 30-50%, allowing teams to scale without adding headcount.

Tech doesn’t replace recruiters—it amplifies them. With better sourcing, faster screening, and automated workflows, RPOs can handle more clients with fewer recruiters—driving higher margins without sacrificing quality.Client outcome: A leading RPO implemented automated candidate outreach, reducing sourcing time by 45% and saving clients $1.2 million annually in hiring costs.

3. Win on Candidate Experience

Bad hiring experiences don’t just cost hires—they cost clients.The reality:

  • 60% of candidates drop off due to slow hiring processes (Glassdoor).
  • 80% of candidates say a bad experience makes them less likely to accept an offer (Talent Board).
  • Companies with strong candidate experiences see 3x more referrals—a huge advantage in competitive markets.

How RPOs can use tech to improve CX:

  • AI chatbots engage candidates instantly, answering questions and providing status updates 24/7.
  • Automated feedback loops keep candidates in the loop, reducing drop-off rates.
  • One-click applications & mobile-friendly experiences make it easier for candidates to apply—boosting conversion rates by up to 40%.

Client outcome: An RPO firm reduced candidate drop-off rates by 27% by integrating AI-powered chat and real-time application updates, resulting in higher acceptance rates and increased client retention.

4. Data-Driven Decisions, Not Gut Feelings

Most RPOs rely on experience, intuition, and outdated spreadsheets to track hiring performance. But gut-based hiring isn’t scalable.What happens when RPOs leverage real-time hiring data?

  • They predict hiring bottlenecks before they happen.
  • They show clients clear ROI—cost per hire, time to fill, quality of hire.
  • They optimize job postings, sourcing strategies, and candidate engagement in real time.

Companies using data-driven hiring decisions improve quality-of-hire by 25% (LinkedIn). That’s real impact clients can see.Client outcome: An enterprise RPO used predictive hiring analytics to reduce early turnover by 19%, proving their long-term value to clients and securing three contract renewals.

5. Tech is the Differentiator—But Only If You Use It Right

The biggest mistake RPOs make? Buying tech but not integrating it properly.The best firms don’t just add tech—they build it into their strategy.How to do it right:

✔ Automate the repeatable, humanize the important. Use AI for sourcing and screening, but keep recruiters focused on high-value relationships.

✔ Make hiring data-driven. Use analytics to optimize processes, improve hiring outcomes, and prove ROI to clients.

✔ Seamlessly integrate tech into existing workflows. Clients don’t want a complicated, disjointed system—they want efficiency that works.

The Future of RPO: Tech-Driven, Client-Focused, and Scalable

Winning new clients isn’t about adding more recruiters—it’s about hiring smarter.

  • RPOs using AI and automation cut time-to-hire by 40%.
  • Automated hiring processes reduce costs by up to 35%.
  • Better candidate experiences lead to 3x more referrals and lower drop-off rates.

Tech-enabled hiring isn’t a competitive edge anymore—it’s the standard.

At Popp, we help RPOs scale smarter by automating workflows, optimizing sourcing, and enhancing candidate experiences—so they can win more clients and deliver better hiring outcomes.

Want to see how it works? Let’s talk.

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25 Feb
2025
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5 min read

Popp Wins Breakthrough Culture Award, Recognised for Championing a People-First Workplace

Headshot of James Cochrane-Dyet smiling in a professional setting
James Cochrane-Dyet
Chief Operating Officer

Popp is proud to announce that it has been named a winner of the Breakthrough Culture Awards 2024, an honour that recognises the greatest companies to work for in the UK. This award celebrates organisations that are redefining workplace culture by putting people first, building environments where employees truly thrive.

The Breakthrough Culture Awards spotlight the top 100 growing companies across the UK, showcasing the evolving cultures they’ve built and the people behind them. Unlike traditional workplace rankings, these awards dive deep—beyond the surface perks and policies—to reveal what it truly means to work inside a company that cares about its people.

This year, the awards reviewed thousands of companies of all sizes and interviewed over 20,000 employees to identify workplaces where people feel valued, inspired, and fulfilled. Popp’s commitment to fostering a progressive, people-centric culture earned it a spot among the elite.

“At Popp, we’ve always believed that work should be meaningful—that it’s not just about what you do, but who you do it with. Winning the Breakthrough Culture Award isn’t just an achievement; it’s a testament to the incredible team that makes Popp what it is. We’re not building a company; we’re building a community where people are empowered to grow, challenge the status quo, and find purpose in their work. We’re honoured to be recognised among companies that are reshaping the workplace for the better.”

Sam Dhesi, Co-founder & CEO of Popp

The Breakthrough Culture Award winners are redefining what it means to be an exceptional workplace—where culture isn’t just a buzzword but a commitment. Popp is proud to be part of this movement, championing a better way to work.

About Popp
Popp is revolutionising talent acquisition through AI-driven recruitment solutions designed to make hiring faster, fairer, and more human. By focusing on building meaningful connections between organisations and candidates, Popp is changing the way companies grow—one hire at a time.

About the Breakthrough Culture Awards
The Breakthrough Culture Awards recognise and celebrate the greatest companies to work for in the UK, honouring those that are building progressive, people-first workplaces. The awards explore the ever-evolving cultures of the UK’s top 100 growing companies, bringing to life what it truly means to work inside organisations that prioritise their people.

24 Feb
2025
·
5 min read

AI in Hiring: A Fairer Future for Recruitment?

Headshot of James Cochrane-Dyet smiling in a professional setting
James Cochrane-Dyet
Chief Operating Officer

AI is transforming recruitment, from resume screening to candidate shortlisting to interview analysis. By automating these processes, recruitment tech platforms enable hiring teams to focus on building relationships rather than getting bogged down in admin. But beyond efficiency, AI brings another major advantage: it can help make hiring fairer than traditional, human-led processes.

The Reality of Bias in Human Hiring

Bias in hiring isn’t new, and it’s not unique to AI. Studies have consistently shown that human recruiters and hiring managers make biased decisions, often without realizing it.

  • Resume name bias: A famous 2003 study found that identical resumes with names commonly associated with white applicants received 50% more callbacks than those with names commonly associated with Black applicants.
  • Age bias: Older candidates are often overlooked, with research showing that resumes indicating longer experience receive fewer interview invitations.
  • Affinity bias: Humans tend to favor candidates who remind them of themselves, whether through shared backgrounds, hobbies, or alma maters.

These biases happen subconsciously, making them hard to prevent through training alone. AI, when properly designed and monitored, offers a way to reduce these biases and make hiring more objective.

How AI Can Improve Fairness in Hiring

AI has the potential to be a powerful tool for fairer hiring, but only if it’s built and used responsibly. Here’s how AI can outperform human decision-making when it comes to fairness:

✅ AI focuses on skills and qualifications, not irrelevant personal factors.
While human recruiters might be swayed by a candidate’s name, accent, or background (or how they feel before or after lunch), AI can be designed to assess only the data that matters for the job: work experience, skills, and competencies.

✅ AI can be audited and improved over time.
Unlike human decision-making, which is inconsistent and difficult to track, AI hiring tools can be regularly audited to ensure they are working fairly. AI bias audits can measure and correct disparities in hiring outcomes, something that isn’t possible with human judgment alone.

✅ AI can analyze hiring patterns and flag unfair trends.
AI can process vast amounts of hiring data to identify patterns that might indicate bias—such as a hiring process disproportionately favoring one demographic group over another. This allows recruitment teams to adjust their processes proactively.

Ensuring AI Hiring is Truly Fair

Of course, AI is only as fair as the data it learns from. If trained on biased hiring data, AI can replicate those biases. This is why responsible AI assurance is critical.

To ensure AI is a force for fairness in hiring, recruitment tech providers and hiring teams should:

  • Use diverse training data to reduce historical biases.
  • Regularly audit AI models to detect and correct bias.
  • Ensure transparency by making AI-driven decisions explainable.
  • Maintain human oversight at key decision points.

One example of regulatory oversight on AI hiring is NYC Local Law 144, which requires companies using AI-driven hiring tools to conduct annual bias audits and share the results. This regulation sets a precedent for fairness and transparency in AI hiring. As similar laws emerge in other regions, recruitment platforms will need to adopt AI bias auditing as a best practice - not just for compliance, but to build trust with candidates and employers.

Conclusion

The debate over AI in hiring shouldn’t be about whether AI is biased, it should be about whether it’s less biased than humans. AI, when built and monitored correctly, has the potential to make hiring fairer, more consistent, and more objective than traditional human decision-making. The key is to approach AI hiring with responsibility and transparency, ensuring that technology reduces bias rather than reinforcing it.

With the right safeguards in place, AI can be more than a tool for efficiency, it can be a tool for fairer hiring.

About Warden AI

Warden AI is the specialist AI auditor for HR Tech. Their AI assurance platform continuously monitors for bias, and audits protected characteristics using proprietary datasets. They work with leading talent platforms like Popp to ensure their AI solutions are fair, transparent, and compliant with regulations like NYC Local Law 144 and EU AI Act.

19 Feb
2025
·
5 min read

Navigating the Agentic Revolution: Popp’s Talent Acquisition Event Recap

Headshot of James Cochrane-Dyet smiling in a professional setting
James Cochrane-Dyet
Chief Operating Officer

Last night, Popp hosted a fireside chat that didn’t just discuss the future of hiring—it challenged it. In a room buzzing with curiosity and conviction, Talent Acquisition (TA) leaders and visionaries gathered to confront the agentic revolution head-on. At the heart of the conversation was a question that could define the future of work: How do we navigate the rise of AI in recruitment with purpose, clarity, and care?

Against a backdrop of free beer, wine, and pizza, the evening unfolded with candor and insight. The lineup was as impressive as the conversation itself:

  • Dave Owen: Former Head of Talent Acquisition at Dyson and TA Advisor to the BBC
  • James Langham: Senior Talent Acquisition Manager at ASOS
  • Aaron Beider: Head of Talent Acquisition at Vertical Aerospace
  • Lisa Maclaran: Head of Talent Acquisition at Williams Racing
  • Ryan Broad: Head of Growth EMEA at Robert Walters
  • Moderated by Sam Dhesi: Co-founder & CEO at Popp

Together, they peeled back the layers on what hiring in 2025 might look like, exploring how to keep recruitment human in an increasingly automated world.

The Key Takeaways: Grounded in Purpose, Driven by Possibility

1. AI Is Reshaping the Hiring Funnel—But Humans Still Lead the Way
The impact of AI on sourcing, screening, and interviewing is seismic. It’s not just about implementing new tools; it’s about rethinking recruitment itself. This isn’t automation for the sake of efficiency—it’s about enabling recruiters to focus on what truly matters: human connection, critical thinking, and strategic decision-making.

2. Reinventing Recruitment Through a Data-Driven Lens
AI isn’t just a tool; it’s a mindset shift. To navigate this new landscape, TA professionals must embrace data—not just to make decisions faster but to make them better. This is about working smarter, not harder, and challenging the status quo of recruitment practices.

3. The Role of the Recruiter Is Evolving—Critical Thinking Is Key
The modern recruiter is more than a brand ambassador. They’re strategic thinkers and quality guardians. As AI takes on more administrative tasks, recruiters must focus on making thoughtful assessments about candidates’ skills, ensuring that technology enhances rather than diminishes human judgment.

4. Transparency Is Non-Negotiable
If AI is to be trusted, candidates must understand how it’s being used—especially when it comes to reducing bias. The room was divided on one key question: Should companies publicly disclose how AI is used in their hiring process? There were no easy answers, but the consensus was clear: transparency builds trust.

5. AI and Inclusivity: A Balancing Act
With an aging workforce and a growing focus on diversity, equity, and inclusion, AI must be designed to work for everyone. It must be accessible, fair, and inclusive—never inadvertently excluding talent. In this revolution, inclusivity isn’t an afterthought; it’s the cornerstone.

6. The AI Interview Debate: Where Do We Draw the Line?
One of the most spirited debates of the evening was about AI’s role in interviews. How much is too much? While some argued for a fully data-driven approach, others insisted that human intuition and empathy are irreplaceable. The takeaway? Balance is key—both candidates and hiring managers deserve a process that feels fair and human.

7. The Privacy and Reliability Dilemma
AI raises complex questions about privacy, data security, and the reliability of language models. Can we trust an algorithm to make unbiased decisions? How transparent should screening decisions be? These questions aren’t just theoretical—they’re ethical imperatives that will shape the future of work.

8. Patience and Prudence in Tech Adoption
For large enterprises, embedding AI tech isn’t a quick win. It can take 9–12 months to fully integrate these systems. The advice from the panel was clear: Do your due diligence. Not every platform will stand the test of time, so choose wisely and strategically.

The Future of Hiring: Human at Its Core

The agentic revolution is here, but last night’s event proved one thing: the future of hiring is human. As AI continues to reshape talent acquisition, it’s up to us to ensure that the process remains empathetic, inclusive, and transparent.

Leaving the event, attendees didn’t just walk away with practical strategies for integrating AI—they left inspired, ready to champion a better way to hire. The conversation was provocative, the ideas were bold, and the purpose was clear: to push the conversation forward, sensibly and meaningfully.

Popp created a space where no question was too controversial and no answer was absolute. It wasn’t just about predicting the future; it was about shaping it.

The revolution is here. Let’s make sure it’s for the better.

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