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Elevating the Strategic Value of Recruiters

For recruiters and hiring managers, the fear of being ‘displaced’ by AI is real. There is discomfort in change and the unknown, and at Sapia.ai we work daily with organisations to reframe how AI is perceived by hiring teams.

We know that technology like Sapia.ai doesn’t displace, it elevates. But how to manage that elevation with your team is critical. Bringing a team of recruiters and potentially an entire organisation of hiring managers on a journey of change requires you to enable them to envision what’s possible for them in the new world. (Check out how we do that here).

Our customers know that leveraging tools like Sapia.ai to take care of the ‘grunt work’ of recruiting – the screening, the shortlisting, the scheduling – enables recruiters to become strategic business partners. They have much more time to focus on building and enabling strategic functions like advisory, sourcing, and performance analytics.  

But what does it mean for a recruiter to elevate their role to this strategic level? What can they be doing day to day, with all this extra time? 

Here are some practical examples of things that recruiters can finally start doing when they’re no longer shuffling through mountains of applications. 

Enhancing Employer Branding and Employee Value Proposition (EVP)

EVP improvement: Focus on understanding and communicating what makes your workplace attractive. This means conducting employee surveys, focus groups, and market research to enhance the EVP and stand out in the highly competitive retail job market. 

Strengthening employer branding: Spend time collaborating with marketing and HR to develop campaigns that showcase your company’s culture, benefits, and growth opportunities. This would attract top talent who align with your values, reducing turnover by attracting the right candidates from the start.

Developing a Talent Pipeline and Workforce Planning

Proactive talent pipeline: Create a more robust talent pipeline, focusing on identifying high-potential candidates for future needs, not just immediate hires. This would involve partnering with schools, training programs, and community organizations to ensure a steady flow of candidates. Leveraging technology like Sapia.ai to assess potential talent for soft skills will help you build these pipelines in a data-driven way. 

Workforce planning: Collaborate with department heads to forecast staffing needs based on sales trends, seasonal spikes, and other factors, ensuring we have a ready supply of talent at the right times. This reduces the “emergency” hiring that contributes to high turnover and reduces your stress levels when it comes to seasonal hiring peaks.

Improving Candidate Experience

Streamlining the recruitment journey: With time freed up from manual tasks, you’re able to take a step back to review your end-to-end candidate experience—from application to onboarding. Do candidates feel informed, valued, and respected at every step? Building a seamless experience will lead to better retention and referrals. It’s important to note that this should always be done when bringing a new tool like Sapia.ai into your hiring process, considering how a new assessment or interview experience can enable enhancements to other parts of your process. Ongoing, having the capacity to review the process and understand what is working and what can be enhanced ensures you stay on top of your game.  

Personalized interactions for high-value candidates: Because Sapia.ai provides you with a shortlist of the top candidates automatically, you can invest your time in ensuring the high-potential candidates receive personal outreach and interaction, offering a human touch to differentiate your company from competitors.

Data Analysis and Recruitment Metrics

Leveraging analytics: Invest time in analyzing recruitment data—such as time-to-hire, candidate quality, and turnover rates. This allows you to continuously refine your sourcing strategies and ensure you’re hiring candidates who are a better long-term fit. At Sapia.ai, data like this is provided to all customers, leveraging data from your ATS and augmenting it with data collected from our interviews to provide insight into key business metrics. 

Turnover reduction strategies: By analyzing patterns in the data, you can develop initiatives to address the reasons behind high turnover. For example, this could involve identifying roles or locations with the highest turnover and implementing specific retention strategies for those areas.

Learning and Development Initiatives

Collaborating with L&D teams: Partner with the Learning and Development department to identify skills gaps in the frontline roles and suggest programs to help new hires succeed and stay with the company longer; and ensure that your new assessment capability is assessing for those skills. 

Upskilling managers: Help your hiring managers to be better equipped to engage and retain frontline staff by implementing leadership development programs, focusing on coaching and managing retail workers effectively.

Diversity and Inclusion (D&I) Initiatives

D&I recruitment strategies: Focus on building a more diverse workforce by creating targeted outreach programs that attract underrepresented groups. You could partner with community organizations, diversity job boards, and internal employee resource groups to widen your prospective applicant pool and ensure inclusivity in your sourcing strategy. 

Bias-free hiring process: By default, an AI you are using to screen or assess candidates should be inclusive and remove bias from the screening process. At Sapia.ai we provide diversity metrics to our customers that give visibility of potential hiring bias, all the way to the store level. Leverage this type of data to understand where improvements can be made and work with your business stakeholders to remove potential biases and ensure a diverse hiring practice.

Stakeholder and Relationship Management

Building stronger relationships with stakeholders: You can invest more time in fostering relationships with department managers, understanding their unique needs, and tailoring recruitment strategies to fit their teams. This ensures that hires align better with specific team dynamics and culture.

Partnering with HR and Operations: Collaborate more closely with the HR and Operations teams to improve the overall employee lifecycle experience—from onboarding to performance management to retention strategies.

Innovating Sourcing and Retention Strategies

Exploring new recruitment channels: Experiment with new ways to source candidates—such as social media campaigns, employee referral programs, and local community engagement efforts.

Retention-focused recruitment: Implement hiring practices that focus not just on filling roles quickly but also on finding people who are likely to stay long-term, aligning better with the company’s goals and values. When working with a tool like Sapia.ai, you are more likely to hire the people who belong with you, as they’re being assessed directly for potential role-fit at the first step of the hiring process. 

Creating an Effective Onboarding Process

Onboarding program review: Take a deep dive into improving your onboarding process, making it more engaging, informative, and aligned with your company culture. This ensures that new hires feel supported and prepared, increasing their likelihood of staying.

By shifting focus from administrative tasks to strategic initiatives, you’ll create a more efficient recruitment process while significantly impacting retention rates, employee engagement, and long-term business success.


Blog

How leading retailers are using AI-Native Hiring

Retail leaders have embraced AI to improve supply chains, automate checkout, and enhance customer experience. But what about finding the people who deliver that customer experience?

AI brings incredible possibilities to supercharge how retailers hire, develop, and retain talent.

At Sapia.ai, we helped iconic retailers like Woolworths, Starbucks, Holland & Barrett, and David Jones reimagine hiring from the ground up – replacing resumes, ghosting, and gut feel with structured, ethical AI that delivers performance and fairness at scale.

The Retail Problem: Volume, Turnover, and Ghosting

Retail is high volume. It’s high churn. And it’s high stakes for candidate experience:

  • Candidates ghosted during slow hiring cycles
  • Store managers are overloaded with admin
  • Recruiters are overwhelmed with 100,000+ seasonal applicants
  • Talent is overlooked due to bias or unfair screening processes, not a lack of potential

And yet, most hiring still relies on broken tools: resumes, forms, manual processes, and outdated systems.

Sapia.ai: The AI-Native Hiring Engine Built for Retail

Our platform automates the entire “apply to decide” journey, leveraging AI & automation to streamline the hiring process & bring intelligence into retail hiring. 

Smart Interviewer™: Mobile-first, chat-based, structured interviews for a holistic candidate assessment. 

Live Interview™: AI-driven bulk interview scheduling without calendar chaos.

InterviewAssist™: Instant interview guide generation.

Discover Insights: Embedded analytics to track hiring health in real-time.

Phai: GenAI coach for career and leadership potential.

Unlike resume parsing or generic chatbots, Sapia.ai assesses soft skills, communication, and culture fit using natural language processing and validated psychometrics. It’s ethical AI built in, not bolted on. 

From Application to Interview in Under 24 Hours

Candidates don’t want to wait. They don’t want to be ghosted. And they don’t want resumes to define them.

> 80% of Sapia.ai chat interviews are completed in under 24 hours.

We see consistently high completion across categories: grocery, merchandising, home improvement, and luxury retail.

“It was fast, fair, and I actually got feedback. That never happens.” – Retail Candidate Feedback

Real Impact, Across Every Retail Category

Sapia.ai powers hiring for millions of candidates across diverse retail environments:

Impact of Sapia.ai on Retail Hiring in 2024
Category Hours Saved FTEs Saved  Cost Saved
Grocery 272k 131 $6.5m
General Merchandise 193k 93 $4.6m
Specialty Retail 133k 64 $3.2m
Home Improvements 103k 50 $2.5m
Merchandising 22k 11 $0.5m
Luxury 9k 4 $0.2m

The savings created by intelligent, AI-native automation have unlocked team capacity, impacted retailers’ P&L, and improved store readiness.

Speed That Delivers Real ROI

Every candidate gets interviewed instantly. No waiting. No bias. Just fast, fair, data-backed decisions. This generates real impact for retailers who previously relied on slow, outdated processes to handle thousands of applicants. 

  • Woolworths: 5,000 hours saved in a single week
  • Starbucks: Doubled hiring capacity, 91.8% completion
  • Holland & Barrett: Time to hire cut from 20 to 7 days
  • Woodie’s: 3x more ethnic minorities hired in 3 months

DEI by Design, Not by Mandate

With Sapia.ai:

  • 98% of candidates opt in to demographic questions
  • Zero adverse impact detected across gender, ethnicity, and disability
  • 1.5–3x improvements in diverse hiring rates

DEI Fairness Scores (based on actual hiring data):

Gender: 1.03 (vs customer baseline of 1.01)

Ethnicity: 1.15 (vs customer baseline of 0.74)

Why? Because ethical AI removes what humans can’t unlearn: bias. With a candidate experience that is inclusive by design, retailers can ensure fairness in screening, and measure it in hiring.  

Candidate Experience = Brand Experience

Retail candidates are your customers. And the experience you give them matters. We have built a brand advocacy engine that delights candidates and gives you the data to prove it. 

  • 9.2/10 CSAT across 2.6 M+ retail candidates
  • NPS: 78 (30+ points above industry benchmark)
  • 87% more likely to recommend the company’s products post-interview

Responsible, Explainable AI Built for Retail

Not all AI is created equally. Since 2018, Sapia.ai has been built on a foundation of responsible AI:

  • No use of resumes or scraped data
  • Hosted securely via AWS Bedrock
  • Claude-powered LLM scoring with model cards and explainability
  • Independent audits on bias, privacy, and methodology

“We can’t go back to life before Sapia.ai. We used to spend half the day reading resumes.”

— Talent Lead, Starbucks AU

What’s at Stake: Time, Brand, and Revenue

Every day spent using outdated hiring methods costs retailers:

  • Wasted recruiter hours
  • Lost revenue from unfilled roles
  • Bad churn that drains training budgets
  • Lower customer satisfaction from poor-fit hires.

With Sapia.ai, you get the productivity unlock retail hiring demands, and the intelligence your talent deserves.

Want to see how fast, fair, and human retail hiring can be?

 

Book a demo

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Blog

Reinventing the Competency Framework: A Data-Driven Approach for the AI Era

We can’t hide from reality anymore. Talent needs are shifting overnight, and AI is redefining what it means to work. Traditional talent frameworks are no longer fit for purpose. At Sapia.ai, we believe the future of talent strategy lies in a smarter, fairer, and more adaptive way of defining what great looks like. 

Our AI hiring platform is built on the largest proprietary dataset of interview answers globally – we’re a data company at heart, and we’ve seen the power of data-driven people methodology in transforming how organisations hire and retain good talent.  

So, when it came to building a new Competency Framework that could be leveraged globally for hiring for any role at any scale, of course, we used a ground-up, data-led methodology that bridges the gap between organisational psychology and AI.

Why Rethink Competency Frameworks?

Conventional frameworks are typically crafted through expert interviews and focus groups. While valuable, they tend to be subjective, static, and too slow to keep pace with evolving job demands. As roles become more fluid and technology augments or replaces task-based skills, organisations need a new way to understand the human capabilities that genuinely matter for performance.

We wanted to identify enduring, job-agnostic competencies that reflect what drives success in a modern workplace – capabilities like adaptability, resilience, learning agility, and customer orientation.

(Why competencies and not just skills? Read why here.)

Our Approach: Where AI Meets I/O Psychology

Sapia.ai’s methodology is rooted in the science of human behaviour but powered by cutting-edge AI. We asked two core questions:

  1. Can we make competency discovery agile, scalable, and evidence-based?
  2. Can we use AI to automate the process without losing the rigour of traditional psychology?

The answer to both: yes.

We began with a rich dataset of over 37,000 job descriptions across industries and role types. Using large language models (LLMs) and advanced NLP techniques, we extracted over 200,000 behavioural descriptors. These were distilled down through a four-step process:

  1. Behavioural Descriptor Extraction
  2. Clustering and Labeling
  3. Cluster Analysis by I/O Psychologists
  4. Thematic Categorisation and Definition of Competencies

This resulted in a refined list of 25 human-centric competencies, each with clear behavioural indicators and practical relevance across a wide range of roles.

Built to Scale. Built to Adapt.

Our framework is intelligent, but importantly, it’s adaptive. Organisations can apply this methodology to their own job descriptions to discover custom competencies. This bottom-up, role-data-led approach ensures alignment to real work, not just theoretical models.

And because the framework integrates directly with our AI-powered hiring tools, you get a connected system that brings your talent strategy to life. 

Our framework comes to life in the following tools: 

  • Job Analyser – Starting with a job description, it creates a unique competency profile for each role to build tailored structured interviews in seconds.
  • Structured Chat-based Interviews that assess candidates’ responses according to the competency profile for consistent candidate assessment.
  • Talent Insights Reports from every interview with deep reasoning and explainability for fair and objective hiring decisions.
  • Phai Career Coach for internal mobility and employee growth that considers their competency strengths and career aspirations.

The Future of Talent Acquisition & Development is Competency-First

Skills alone cannot predict success. Competencies do. As AI continues transforming how we work, Sapia.ai’s Competency Framework offers a scalable, scientific, and fair foundation for hiring and developing the talent of tomorrow.

Want to see how it works? Download the full framework.


 

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Blog

It’s Time to Stop Hiring for Skills, and Start Hiring for Competencies

If you’re a CHRO or Head of Recruitment at an enterprise today, chances are you’ve been inundated with messages about the importance of “skills-based hiring.” LinkedIn’s recent Work Change Report (2025) is full of compelling data: a 140% increase in the rate at which professionals are adding new skills to their profiles since 2022, and a projection that by 2030, 70% of the skills used in most jobs today will have changed.

This is essential reading. But there’s a missed opportunity: the singular focus on “skills” fails to acknowledge the real metric that talent leaders need to be using to future-proof their workforce — competencies.

Skills vs Competencies: The Crucial Distinction

  • Skills are task-specific capabilities. Think Python programming, Excel, or even negotiation.

  • Soft skills refer to interpersonal or behavioural qualities like adaptability, communication, and resilience.

But skills on their own — even soft ones — are generic, disjointed, and often disconnected from real-world performance. In contrast:

  • Competencies are clusters of skills, knowledge, behaviours and abilities that are observable, measurable, and context-specific.

Put simply, competencies answer the all-important question: Can this person apply the right skills, in the right way, at the right time, to deliver results in our environment?

Why Competencies Matter More Than Ever

The Work Change Report outlines a future where job titles are fluid, roles evolve quickly, and AI is a constant disruptor. This creates three massive challenges for hiring at scale:

  1. Roles are changing faster than static skill frameworks can keep up

  2. Job candidates may have non-linear, cross-functional backgrounds

  3. The shelf-life of technical skills is shrinking rapidly

Skills alone don’t tell us whether someone can succeed in a role that will look different 12 months from now. But competencies can. Because they measure not just what a person knows, but how they apply it.

Adaptive Talent: The New Competitive Advantage

The LinkedIn report highlights a critical insight: organisations now prioritise agility in entry-level hiring. And there’s a good reason for that. With professionals expected to hold twice as many jobs over their careers compared to 15 years ago, adaptability is not just a nice-to-have. It’s core to success.

But you can’t measure agility with a keyword on a CV. You measure it by looking at competencies like:

  • Learning agility

  • Change resilience

  • Cross-functional collaboration

  • Problem-solving in ambiguous contexts

When you shift the focus away from skills to behavioural competencies that can be defined, observed, and assessed in structured ways, you open yourself up to a much more dynamic and more useful way of managing talent.

Building a Competency-Based Talent Framework

To hire effectively at scale, particularly in a technology-driven world of work, talent leaders must shift their lens:

  1. Define Role-Specific Competencies: Move beyond job descriptions based on qualifications or vague skill sets. Break roles down into measurable competencies that reflect current and emerging performance expectations. This step is crucial for organisations to be able to accurately assess role-fit in the next stages. Sapia.ai does this automatically, taking job descriptions and building role-specific competency models in seconds.

  2. Assess Competencies Fairly and Objectively: Use structured behavioural interviews, ideally at scale. These provide a much more accurate picture of a candidate’s readiness than self-reported skills or credentials. Sapia.ai’s AI powered interviews enable competency assessment, at scale.

  3. Build Pathways for Development and Internal Mobility: A competency framework makes it easier to identify transferable strengths, development gaps, and future-fit potential. It gives employees clarity on how to grow within the business. Using an AI-powered coach can help ensure that talent is being continuously developed against the organisation’s competency framework.

The Future of Work Requires Depth, Not Just Breadth

LinkedIn’s data shows that people are learning more skills more quickly than ever. But the real question for talent leaders like you is: Are those skills being applied in ways that drive value? Are we hiring for task proficiency or performance?

The truth is that the organisations that will thrive in an AI-driven, skills-fluid economy aren’t the ones chasing the next hot skill. They’re the ones designing systems to identify, develop and scale competence.

Keen to Shift to Competencies, but Lacking a Framework? 

Sapia.ai has developed a comprehensive Competency Framework using a data-driven approach. Download the full paper here.


 

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