We spoke to both founders about what payroll reveals about the problem Bujeti is actually solving, and what it takes to build a Finance Control Centre from scratch on a continent where the infrastructure is still catching up.

Payroll feels like an obvious category for a platform like Bujeti. Why did it take until now?

Arouko: Nothing about building this has been obvious from the inside. When we started, the most pressing thing was giving businesses visibility and control over spending: cards, budgets, approvals. That was the hole. We filled it.

Then it became clear that payments were broken: vendors being paid via WhatsApp instructions, no audit trail, no approval workflow. We built that. Then tax became urgent, especially with everything happening with FIRS and the 2025 Tax Act. We built the Tax Vault. Each product has come because we watched businesses hit a specific wall.

Payroll was always on the roadmap. But we were deliberate about sequencing. We did not want to bolt payroll on as a feature. We wanted it to be native to the platform, where it connects hiring decisions to budgets, payroll to reconciliation, deductions to the Tax Vault. That takes time to build properly.

Chiba: There is also the trust question. Payroll is the most sensitive financial operation a business runs. If your expense management tool has a bug, you fix it and move on. If your payroll has a bug on the last working day of the month, you have a people crisis, not just a finance problem. We had to be certain before we launched this publicly.

You use the phrase “Finance Control Centre” constantly. What does it actually mean in practice?

Arouko: Most businesses experience their finances as a collection of disconnected events. Money comes in. Money goes out. HR runs payroll. Finance reconciles it afterwards. Someone uses a card. Someone else uploads the receipt three weeks later. The result is that nobody has a real-time picture of what is happening financially, and by the time they do, it is too late to make a different decision.

A Finance Control Centre means every financial event: every card transaction, every vendor payment, salary disbursement, or tax remittance happens inside one system, under one governance structure, with one audit trail. Control is not retrospective.

It is structural. You cannot accidentally overspend a budget because the system will not let you. You cannot run payroll without an approval because the workflow requires it. You cannot forget to separate PAYE because it is ring-fenced the moment the deduction is calculated.

Chiba: The analogy we use internally is a cockpit. A pilot does not land a plane by remembering what all the instruments said two hours ago. They have a dashboard where everything is visible in real time, and the controls are right there. That is what we are building for finance teams. Not a better spreadsheet. A cockpit.

The reconciliation problem keeps coming up in how you describe payroll. Is that really the central issue?

Arouko: It is the most visible cost, but it is not the only one. The real issue is that when payroll runs across disconnected systems, an HR tool here, a bank portal there, a spreadsheet in the middle, finance loses three things simultaneously: time, visibility, and control.

The time loss is the reconciliation. Two, three days every month, just to close the books on something that should have been automatic.

The visibility loss is that finance does not see the full payroll picture before disbursement, they see a total, not the detail needed to catch an error.

The control loss is the approval chain: an email to a COO who approves without budget context, payments made before anyone in finance has confirmed the numbers are correct.

Bujeti restores all three at once. Reconciliation is automatic because payroll is already inside the platform where the budgets and financial reports live. Visibility is real-time, finance sees the full breakdown, by employee, by department, by deduction, before anything moves. And control is structural, the approval workflow is built in, with budget enforcement, so payroll cannot run without finance sign-off.

Chiba: I want to add something here, because I think it is important. We are not saying HR should not be involved in payroll. HR should absolutely manage employee data, new hires, salary changes, leave deductions, all of it. What we are saying is that the financial control layer, approvals, budget checks, disbursement, reconciliation, belongs inside the finance system. Those are different functions, and they should have different ownership. Bujeti gives finance that ownership without taking anything away from HR.

Tell me about the Hiring Planner. It feels like it starts further upstream than most payroll products.

Chiba: That is exactly the point. Most payroll tools process decisions that have already been made. You hired someone, now let’s run their salary. We think that is too late.

The financial consequence of a hiring decision, the monthly cost, the annual impact, the budget variance, should be visible before the decision is made. That is what the Hiring Planner does.

You are considering a senior engineer. You put the role into the Hiring Planner. It shows you the exact monthly payroll cost, what that does to the department budget annually, and whether you have variance to absorb it. You make the hiring decision with the financial consequence already in the room.

Arouko: This is the thing about being a Finance Control Centre that I think people underestimate. Control is not just about what happens when money moves. It is about what happens before. The Hiring Planner is control before the cost exists. That is genuinely new for most African businesses, and it matters enormously for managing cash flow in environments where runway is real and naira volatility is constant.

Nigeria’s 2025 Tax Act has been a recurring theme in Bujeti’s product launches this year. How much of payroll is a response to that specifically?

Arouko: It accelerated the urgency, but it did not create the need. Payroll tax compliance in Nigeria, PAYE, pension, NHF, has always been complex. Multi-state routing alone is a problem most finance teams have been solving manually for years. What the Tax Act did was remove the margin for error. The penalties are steeper. The audit visibility is higher. The tolerance for “we’ll fix it next month” has essentially gone.

You have been compared to Brex and Ramp in the US, and Capital One’s acquisition of Brex has come up in coverage of Bujeti. How do you think about that comparison?

Arouko: Honestly, it validates the category more than it validates us specifically. What Capital One paid for was the insight that the software governing how businesses control their finances is worth more than the banking infrastructure underneath it. We have believed that since 2022. The acquisition is proof that the market agrees.

The African context is different in important ways. The ecosystem is less mature. The regulatory landscape shifts faster. The infrastructure we build on is less reliable. We have said openly that we are building on top of an immature ecosystem.And that is not a complaint, it is a description of the work. Building for African complexity makes the product better for emerging markets everywhere.

Chiba: The businesses we serve are also different from Brex’s early customers. Brex started with Silicon Valley startups with dollar accounts and Stripe payments. We are building for companies managing naira payroll across multiple states, doing cross-border payments to Kenya while navigating FIRS and the 2025 Tax Act, and trying to get their first institutional loan with three years of structured financial records as their only collateral. The complexity is real. The opportunity is larger.

Only 15% of African enterprises currently use online accounting tools. How do you close that gap?

Chiba: Distribution is not just a sales problem. It is a trust and education problem. Most businesses are not on spreadsheets because they are resistant to software; they are on spreadsheets because nobody has shown them a system they trust to run payroll on payday without breaking. That is why we offer a test run before going live. Run your payroll through Bujeti in parallel with your current system. Compare the outputs. When you are confident—and most companies are confident within 72 hours of setup,  you switch. The first two payroll cycles are free. We absorb the risk of the transition.

Arouko: The SMEDAN partnership and the PreCEFI partnership are also part of this. We are not waiting for businesses to find us. We are going to where they are: through the government relationships, through business hubs like the Premia Business Network, through the finance affiliate programme. Every accountant who brings a client onto Bujeti is a distribution partner. Every client who experiences automatic reconciliation for the first time is an advocate.

What does Bujeti look like in five years?

Arouko: I want every ambitious African business, whether it has ten employees or five hundred, to run its finances on Bujeti. Not because we have locked them in, but because the alternative is going backwards. Going back to spreadsheets and WhatsApp approvals and manual reconciliation after you have experienced a system where the books close them. Nobody does that voluntarily.

Chiba: The product will keep growing. Payroll is not the end of the platform. But the frame stays constant: a Finance Control Centre that gives African businesses the toolkit and intelligence to operate with a CFO in the room, regardless of their size or stage. That is what we are building. We are a long way from done.

Bujeti Payroll is available now. Existing users can access it from their dashboard. New businesses can sign up or book a demo at bujeti.com. First two payroll cycles are free.

Truth be told, too many organisations still treat human capital as a budget line to be squeezed rather than the force that drives growth. 

Gallup’s 2024 global workplace survey shows that only 21% of employees feel engaged at work, and disengagement costs the world nearly $8.8 trillion in lost productivity each year. For an age that prides itself on innovation, that’s a huge irony.

It takes a different kind of leader to flip that script, one who doesn’t see HR as a cost centre, but as the strategic engine of growth, resilience and sustainability. Adebayo Aderohunmu has built a career proving exactly that. 

From scaling Reliance Health’s workforce by over 300% in two years to driving LemFi’s expansion across 10+ countries while supporting its $86 million fundraising journey, his work shows how a thoughtful people and business strategy can change the direction of companies.

Adebayo commands the depth and approach of both an HR and Business Leader, whose approach blends apt research, technology, and empathy, while his ecosystem contributions reveal a dedication to paying it forward. 

In this conversation with Techeconomy, he opens up about his early inspirations, lessons from scaling global teams, and why the future of HR depends on building systems that go beyond managing people to actually empowering them.

TE: You’ve worked across multiple industries – from consulting, oil & gas, healthtech to fintech – what inspired your journey into HR, and how has your background shaped your approach today?

Adebayo Aderohunmu: My journey into HR was inspired first by related courses I did in my undergraduate degree, including industrial sociology, human resource management and the sociology of organisations. These courses made me understand and become deeply interested in the nature of human relations, roles within organisations, and how the productivity of organisations, and essentially our society, rests on human resources and how they are managed.

Research and academia in these courses, which I grew familiar with, established the centrality of human resources in organisations, its priority over other resources and research-backed methods to managing it effectively. Post my graduation, I chose to focus on a career in Human Resource Management. I have since over time, extended my learning in this field via certifications and my work experience. 

A lot I do is largely fed by that research, data and academic background. It has shaped my commitment to understand historical trends and future innovations in my field, curate research and academia-backed initiatives at work.  

Progressively, I have had the opportunity to work with HR Leaders who have also inspired my approach with their empathetic decision-making, impeccable execution and warm stakeholder management approach. 

TE: Looking back at your career trajectory, which role or project do you consider the turning point in establishing yourself as a global HR leader?

Adebayo Aderohunmu: It’s a company, or pretty much a project, Reliance Health. Working at Reliance Health marked my foray into Tech, a new approach to doing things in HR, and working with stakeholders across geographies. The role afforded me a great level of balanced autonomy and responsibility to own, curate and execute a number of talent acquisition and management projects that moved the company many leaps forward.

Projects I did in this space include a democratised competency-based and structured interviewing process, instituting an asynchronous internal learning system, supporting the building of an internal Performance Management System, curating an effective onboarding process for a global remote-first system, and recruiting globally across functions and seniority.

These projects meant the company could effectively recruit folks across the world, incrementally grow its workforce by over 300% in two years with spread across EMEA & APAC, onboard GTM and technical c-suite leadership,  increased revenue, raised the primed highest funding by an healthtech in Africa of $40m, doubled down on its market in Nigeria and expanded out of Nigeria into Egypt, etc. 

As an instance, I held the brief to recruit the VP of International Expansion at RH with so much glee as it marked such a next step in the company’s trajectory. With a great understanding of the brief, sourced and eventually hired a Super profile for the role. Down the line, this hire informed the company’s expansion into Egypt, of which I also held the reins in hiring the country’s leadership.

Did some great work here. Also got to win Employee of the Year, People Operations Team. 

Global HR Experience

TE: At LemFi, you managed a workforce of over 400 employees spread across 10+ countries. What are the biggest challenges of managing a distributed, multicultural workforce, and how did you overcome them?

Adebayo Aderohunmu: Managing such a distributed workforce had many challenges, among which were timezone syncs, employee productivity, communication and availability, team bonding and employee engagement, etc. Chief among these was the acculturation of new hires and employees in general. 

In a build fast, ship fast and scale fast environment, it is easy to forget the work is within an organisation and the individual employee and/or the new hire is part of a breathing whole.  Working with the team, a couple of the initiatives I did were:

1. Ensuring onboarding wasn’t just about work and work deliverables, but a larger introduction and absorption of the LemFi culture. 
2. A Quarterly Meet The Founder, where new hires at that time could have a chat with one of the founders. This was such an opportunity to share and ask questions about the mission, journey and behaviours at the company. 
3. Instituted a Culture/Engagement Champion Programme, where nominated colleagues served as culture ambassadors within different teams, who weren’t just mirrors of our culture but also had the soft responsibility to spread the culture markers, organise engagement and bonding events in their team, and generally work with the People Team and their Team Leads to foster a positive work culture. 

The surveyed and anecdotal feedback from these initiatives was warm and showed an impactful contribution. 

TE: Studies show that 77% of companies now use HR tech platforms to manage global teams. What merging lines between technology and HR Management have you explored, and what’s your opinion?

Adebayo Aderohunmu: Technology is a super phenomenon. Within my career, I have always had a bias towards the possibilities of technology, particularly within my areas of focus. This bias and putting it to work have made me some sort of SME on HR Technology in most of the places I have worked. 

In recruiting and managing people at scale, especially in global environments, which forms my work experience, I needed to grow an affinity for reigning in technological tools and platforms across various value chains in HR, from onboarding, recruitment, employee management, performance management, employee engagement, payroll, etc.

Across these lines, using a number of platforms helped ensure the companies were compliant per different geography of employee residence, could recruit and onboard at scale, asynchronously internally train employees, etc.

My pose to fellow professionals in this wise is to imagine the possibilities technology can offer to their work, and then go after it. You will most likely find what you are looking for. 

Impact & Achievements

TE: LemFi in the last 3 years has been on a super impressive growth and expansion trajectory, including raising $86m (Series A & B), deeper market expansion into Europe and the Americas, and the acquisition of two companies in the UK. What role did HR, in particular Talent Acquisition and Management, play in this?

Adebayo Aderohunmu: I believe LemFi is on such a wholesome trajectory that is hard to deny, energised by such a driven founding team, leadership team and the general workforce. As the CEO calls it, the company is on course to build the “Fullstack Financial Service for the Global South” diaspora. 

While many tend to tout HR as a cost centre, without immediate business results or contribution to the bottom line, otherwise is mostly the case. At LemFi, my team and I, including my manager and two other team members, did work that is hard not to see how we moved the needle of the business forward.

A lot of this work, albeit in the background, is running people operations, tempering chaos, company compliance across global legal entities, multi-geography payroll and benefits structuring and management,  recruiting and onboarding hires, etc. Two mantras that drove us as laid down by my manager – HR will not be a clog in the business wheel, and business and people’s priority was HR’s priority. 

Particularly, a couple of my individual contributions include working with departmental leaders and the IT Team to institute an onboarding system that supported the growth of the company across different geographies, crafting policies and processes that not just simplified our people processes but also ensured our financial regulatory compliance and access to licences, recruiting globally across teams to support GTM, engineering, product compliance and customer success, etc.

Coupled with the achievements you noted in your question, these inputs by me and the larger HR team are not too far from the company’s recent achievement of over $1 billion in monthly transactions, the acquisition of Pillar and expanded product lines and markets. 

TE: As on your LinkedIn profile, during your time at Reliance Health, you helped grow the workforce by over 300% in less than two years. What strategies or systems made that scale possible without losing cultural alignment?

Adebayo Aderohunmu: Thank you very much for that question. Aside from working extra hours and embracing the startup hustle culture, one system that the scale was built on was what I call a democratised, competency-based and structured recruitment process. An overarching highlight of that was enabling every employee of RH, post 6 months on the job, to adequately interview for cultural elements in a recruitment process. 

So, the typical traditional process in an organisation, or tech startups, is to have either the HR Manager, the recruiter or the company leadership interview candidates for cultural alignment with the company. As good as this process may be, it meant the “culture interviewer”, especially in a fast scaling organisation, was all logged on interviews for a number of hours a week, interviews lagging based on their availability and at times being drawn to other “more” priority projects/tasks. At RH, in the initial months, this obligation fell on me as the recruiter and obviously was not scalable. 

So, working together with the company leadership and asking a lot of “whys” on the traditional process, I instituted a process that trained and empowered all post-6-month term Rhomans (employees of RH) to adequately interview for cultural elements in interviews. A summation of this was identifying our culture markers, defining them as related to the company, creating questions and rubrics related to this, an interviewer training tutorial and guide, etc. Thus, spreading the task to over 100 employees, who were happy and glad to be part of the process to select and usher in new colleagues to the company. 

Big Ups to Google’s rework and Laszlo Bock’s Work Rules! That provided such a global guide.

TE: Diversity, Equity, and Inclusion (DEI) is an evolving global priority, especially for companies. One of the companies you worked for, Stitch, seems to have a very credible focus on DEI. Did you get to play some part in this?

Adebayo Aderohunmu: Because a lot of the things we do as talent acquisition and management professionals feed off the direction and priority of the leadership. At Stitch, the leadership was very deliberate about a diverse and inclusive workforce, particularly at the levels of race and gender. The company had a Diversity, Equity and Inclusion Initiative (DEII), to mirror the diverse market it serves and to further empower innovation and better outcomes for the company. 

Riding on this, I grew familiar with related communities, companies in mirroring localities where those talents were, and was willing to go the extra mile. This meant most times, going beyond the talent that was easily accessible for me, but looking for more. For instance, the brief for a black/coloured female Senior Software Engineer in South Africa meant dedicating more time to sourcing, reaching out via 2nd or 3rd LinkedIn connections, understanding the terrain, etc.

This also meant building a system that can support remote onboarding across and expanding talent markets into countries such as Togo and Kenya. I was glad to have been part of such a driven team, achieving 50% gender diversity and 40% racial diversity within the workforce. 

I joined the team as they were looking to expand into Nigeria and Kenya. In about two months, I hired a couple of senior software engineers and product managers from top companies within Africa to move its mission forward and and added a number of hires from other verticals such as compliance, product partnerships and data in subsequent months.

Though the Nigeria and Kenya expansion didn’t particularly pan out, not yet, happy to see how that contribution has grown the team, doubled down on its products in South Africa, made incredible acquisitions, increased revenue and raised funding rounds after. 

People, Culture & Leadership

TE: Employee engagement remains a global concern — Gallup’s 2024 report found that only 21% of employees worldwide feel engaged at work. From your experience, what truly drives engagement in distributed teams?

Adebayo Aderohunmu: What drives employee engagement is a decade-old burning question. Because employees are individually different, exist in different contexts, experience varied management styles even in the same company, etc. This dynamism becomes quite multiplied in a remote, distributed team. 

In my experience, an anchor that I have seen work in distributed teams is trust and autonomy. When companies build an environment, communication system and structure that sees employees as adults, engenders clear communication of expectations, provides the tools and enablement for achievement, and trusts employees to put in their best at work, the typical employee is attuned to work, the deliverables and the company’s vision. I believe this view has also been established by research by the NHS and CIPD. 

TE: Leadership training and coaching seem to be recurring parts of your work. Why is investing in mid-level leadership development so critical to long-term organisational success?

Adebayo Aderohunmu: It’s often said that children are the leaders of tomorrow. While mid-level managers aren’t children, they are indeed the leaders of the organisation tomorrow, and also very much now. Firstly, much of the operational burden and performance drive of organisations rests on the middle leadership, which is easy to see. A recent McKinsey research noted that organisations with middle managers who exhibit best-in-class behaviours generate 21x higher total shareholder returns (TSR) over five years than companies with weaker managers.  

Secondly, they sit in such a place to determine the culture and meaning of work in the organisation. Poor mid-level management will lead to quite disengaged employees, while great mid-level management is a catalyst for purposeful and aligned employees. Of course, they are also the pipeline of management leadership, who at the time of being at the midlevel, should be exposed to adequate management behaviours either via training, mentorship or coaching. 

Unfortunately, what you find in most companies, especially tech startups, is that mid-level managers are abandoned, assumed to know how to lead and inadequately supported. I believe this is one of the reasons for a number of toxic leadership behaviours and employee burnout we have around.

Future of HR & Technology

TE: With AI rapidly entering HR — from recruitment to performance tracking — do you see it as a threat or an opportunity for HR professionals?

Adebayo Aderohunmu: Seeing it as a threat will spell doom. Most importantly, it’s such a massive opportunity for HR professionals to expand their skillset, build transformative people processes and offer more value to the business and their people.

TE: The global HR tech market is projected to hit $63 billion by 2032. Where do you see the biggest opportunities for innovation in HR over the next decade? Again, if you were mentoring a young professional entering HR today, what three lessons from your own journey would you want them to take with them?

Adebayo Aderohunmu: The biggest opportunities over the next decade in HR Tech, especially with the incursion and integration of AI into many platforms, will be massive. I can easily identify two:

1. More than ever before, AI will provide an engine for Predictive HR  Analytics tools across different value chains – recruitment, performance, learning, etc.
2. Automation and interoperability of platforms. Automation tools for operational HR tasks are on the rise, but most are still within standalone platforms that don’t easily feed into each other; however, because a number of HR related data and tasks flow into each other, it causes some hard stops, hence not as smooth an automation or value. For instance, onboarding information feeds seamlessly into payroll, or performance flows into learning. Either in more open API access or other means, I see more interoperability in HR Tech. Of course, of note here is the need for data integrity and best data practices. 

Three hands, I will borrow a young professional new to talent activation and management:

1. Don’t be afraid to do the dirty work. A lot of the work that will build your competency, add to the business’s bottom line and make you proud in the long term is in the dirty work. 
2. Train your thought process and apply it on the job. Don’t be afraid to question the norms in practice you see around.
3. Be very familiar with business concepts, and see that you have a good understanding of what’s behind the hood of the company you are working for. 

Ecosystem Contribution

TE: Many leaders focus only on their organisations, but ecosystems thrive on collective effort. In what ways are you contributing to the growth of the wider tech and HR community, and what impact do you hope to leave behind?

Adebayo Aderohunmu: Leaving behind is a life question. But I do try my best to pay it forward in individual relationships and the larger ecosystem, and I find great value in doing so. One of the ways I do this is by supporting younger tech professionals who are looking to grow their careers and get the best jobs, through volunteering and mentorship in tech communities and platforms such as Uptick Talent, Code Your Future, etc. The feedback and success stories from this have been amazing, and I definitely look forward to doing more. 

Within the HR community, you will find me individually guiding professionals on how they can scale their contributions to the bottom line. More recently, I have been putting out topical and research-based articles in journals either individually or in collaboration with a couple of friends, on subject matter areas within HR that I believe are important for the profession in light of recent trends and technology, to help shape how we deliver value and add to the global HR knowledge base. 

Every investment, technology and methodology is defined by the value they deliver to the organisation and its bottom line.

As Harvard Business Review puts it – these roles are tenuous and set up for failure because they were originally defensive, focusing on control and risk and not on business value. It was not a role that would deliver the commoditisation of the data that the organisation wanted.

This is reflected in data released in the Data and Analytics Leadership Annual Survey 2023 – the CDO role grew from 12% to 82.6% from 2012 to 2023 and yet only 35.5% of companies believe the role is successful and only 40.5% say that the role is understood within the business.

It was a sentiment echoed at the Gartner Data and Analytics Summit 2023 where less than half of data and analytics leaders (44%) believed their teams delivered value to the business with limited funding (13%), resource limitations (29%) and talent (39%) proving the biggest obstacles to success.

Technical leaders need to find ways of working with the data and the technology to ensure it is oriented more closely to the business.

The business hat, so to speak, must be firmly on the digital C-suite’s head when looking at how they can optimise data, analytics, and systems to support every unit within the organisation.

HR, finance, supply chain, marketing – every unit requires a slice of the digital insights pie to ensure they too are optimising for success.

Value is the bridge between IT and the business. Now, CDOs, CIOs and CAOs must reimagine their architectures and approaches to ensure this value is found throughout their digital transformation and investment strategies. However, there are challenges.

The first is the impact of the cloud. Often perceived as an extension of the data centre, the cloud is a risk factor. Digital leaders need to understand the impact of having data in private and public areas while deftly navigating the challenges of linking and managing the data seamlessly between different cloud implementations.

This is further complicated by data security, change management and data sovereignty. Teams are struggling with vast quantities of data that’s not linked or is duplicated and their data governance is still in progress.

This is a complex landscape to navigate and manage, made even more challenging thanks to limited skills availability. There are not enough people with the expertise and training to get the value from the data.

Teams need to align the business roadmap with the technology investment to ensure the value created aligns with expectations.

This should be further balanced with a focus on improving processes to ensure that the business can better leverage the data through analytics tools or AI capabilities.

In addition, there is value in focusing on storage solutions that reduce the cost and complexities associated with vast quantities of data – instead, using tools that refine governance while increasing value and accessibility. These tools must help teams reduce data duplication, improve movement, and optimise costs.

BCX has developed an agile stable of data and analytics tools and capabilities designed to clean, refine, and manage the data for the organisation.

This high-level expertise translates into providing data-as-a-service capabilities with teams that have exceptional skills and a deep understanding of the challenges faced by the digital C-suite.

It’s the support that goes into the granular with any organisation, allowing for the business and the teams to create a data culture on a strong foundation of data literacy and visibility.

The BCX skillset and technology repertoire ensures the organisation can effectively build data value with the right levels of scalability and with AI, machine learning and intelligent toolsets optimising processes and streamlining data capability.

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One area where AI holds significant potential is in the hiring process, where the high level of precision needed to identify and select the best candidates can be enhanced by AI technologies.

This technology can streamline and improve aspects of hiring, making the process more efficient and effective.

In this essay, we will explore the potential of AI in transforming hiring habits and the benefits it can bring to organizations.

AI can be a valuable tool in the hiring process as it can help eliminate biases and provide a more objective approach to evaluating candidates.

AI can be programmed to analyze resumes, conduct initial candidate assessments, and even conduct initial interviews.

Additionally, AI can help identify potential red flags in candidates’ backgrounds, such as inconsistencies in their employment history or qualifications.

Furthermore, the use of AI can also help streamline the hiring process by automatically sorting through large volumes of applications and identifying top candidates based on predetermined criteria.

This can save time and resources for human recruiters, allowing them to focus on more strategic and high-level tasks.

Comprehensively, AI can be an effective tool in improving the precision and efficiency of the hiring process, but it should be used in conjunction with human oversight to ensure that the final hiring decisions are made fairly and ethically.

AI technologies have the potential to transform and optimize numerous facets of the hiring process.

By effectively leveraging machine learning algorithms, organizations can efficiently analyze extensive candidate data, including resumes, cover letters, and application forms, to identify essential skills, qualifications, and experiences. Such advanced data analytics can significantly expedite the identification of the most suitable candidates for a particular role, greatly minimizing the resources and time typically needed for manual application review.

Furthermore, AI can assist in identifying top talent through the analysis of various metrics, including past performance, educational background, and professional accomplishments.

This data-driven approach not only enhances the efficiency of the talent acquisition process but also helps ensure that the hiring decision is based on comprehensive and objective criteria.

Integrating AI technologies into talent acquisition processes offers substantial benefits, ranging from enhanced efficiency to more accurate candidate selection.

By embracing these advancements, organizations can significantly improve their hiring outcomes and gain a competitive edge in attracting and securing top talent.

AI-powered assessment tools encompass a wide array of capabilities that can revolutionize initial candidate evaluations. These tools go beyond traditional assessments and offer diverse functionalities encompassing personality assessments, cognitive ability tests, and skills assessments.

By leveraging AI, organizations can gain access to valuable insights into a candidate’s behavioural tendencies, cognitive capabilities, and specific skill sets, providing a holistic perspective on their suitability for a given role.

Personality assessments driven by AI can delve into a candidate’s behavioural traits, communication style, and interpersonal skills, shedding light on their potential alignment with the organization’s culture and team dynamics. Cognitive ability tests, powered by AI, can accurately measure a candidate’s problem-solving abilities, critical thinking, and decision-making skills. These evaluations ensure that candidates possess the mental acumen required for the demands of the role. Additionally, skills assessments facilitated by AI offer an in-depth analysis of a candidate’s technical proficiencies, from programming languages to project management capabilities.

By implementing these AI-driven assessment tools, organizations can efficiently identify potential top performers early in the hiring process, aligning the candidates’ attributes closely with the job requirements.

This strategic approach not only optimizes the screening process but also enhances the likelihood of identifying candidates who possess the ideal blend of skills, competencies, and cultural fit for the organization.

Consequently, the integration of AI-powered assessment tools into the hiring process represents a pivotal advancement in talent acquisition, allowing organizations to make more informed, data-driven decisions while reducing bias and enhancing the overall candidate experience.

Moreover, the integration of AI in initial candidate interviews extends to the deployment of chatbots or virtual assistants.

These AI-powered tools can engage with candidates through text or voice-based interactions, guiding them through predefined questions and recording their responses.

The recorded data can then be analyzed to evaluate a candidate’s communication skills, problem-solving capabilities, and other relevant competencies vital for the role.

Chatbots and virtual assistants streamline the initial interview process by providing a consistent and standardized experience for all candidates, ensuring equal treatment in the assessment of their qualifications.

Through natural language processing (NLP) capabilities, these AI-driven tools can comprehend and respond to candidates, simulating a real interview environment.

This also allows recruiters to efficiently manage a large volume of initial interviews without compromising the quality of the candidate experience.

Furthermore, analysis of the recorded responses through AI can provide valuable insights into a candidate’s thought process, attitude, and overall suitability for the role.

By identifying patterns in language, tone, and content, AI can assist in evaluating a candidate’s potential for success within the organization.

Additionally, sentiment analysis can be utilized to interpret emotions expressed during the interview, providing a deeper understanding of a candidate’s disposition and adaptability.

The application of AI in conducting initial candidate interviews not only enhances the efficiency of the hiring process but also provides a more comprehensive understanding of a candidate’s capabilities, contributing to informed and data-driven hiring decisions.

Ultimately, the use of AI-powered chatbots or virtual assistants in initial interviews represents an innovative approach to talent acquisition, enabling organizations to identify the best-suited candidates while delivering an enhanced and equitable candidate experience.

Furthermore, AI plays a crucial role in identifying potential red flags in candidates’ backgrounds, such as inconsistencies in their employment history or qualifications.

Leveraging sophisticated algorithms, AI can conduct comprehensive background checks by cross-referencing information from various sources, including public records, social media profiles, and professional networking sites.

By automating this process, AI enables organizations to swiftly and meticulously scrutinize candidates’ backgrounds, highlighting any discrepancies or discrepancies that may indicate a lack of integrity or truthfulness.

This helps in preserving the integrity of the hiring process and mitigating the risks associated with hiring candidates with misrepresented credentials.

Moreover, AI-driven background checks contribute to maintaining a safe and compliant work environment by flagging any concerning patterns or incidents in a candidate’s history, such as criminal records or unethical behaviour. The utilization of AI in this context serves as a proactive measure to protect the organization from potential liabilities while upholding ethical standards in hiring practices.

In essence, AI not only streamlines and expedites the screening of candidates’ backgrounds but also enhances the accuracy and thoroughness of the process, empowering organizations to make well-informed and risk-mitigated hiring decisions. By identifying potential red flags in candidates’ backgrounds, AI significantly contributes to building a trustworthy and high-performing workforce.

Ultimately, the integration of AI into the hiring process has the potential to significantly enhance the precision and objectivity of candidate evaluations and selections.

By leveraging AI-powered tools for initial candidate assessments, interviews, and background checks, organizations can streamline processes, minimize human bias, and identify top talent more efficiently.

Nevertheless, it is imperative to approach the development and deployment of AI applications in the hiring process with a strong commitment to fairness and ethics.

Human oversight is essential to mitigate the risk of bias and to ensure that the final hiring decisions are made by legal and ethical standards.

This requires a comprehensive approach that includes ongoing monitoring and auditing of AI algorithms to identify and rectify any potential biases.

Additionally, transparent communication with candidates about the implementation of AI tools in the hiring process and clear guidelines for handling any concerns or disputes are crucial.

Furthermore, integrating ethical considerations and diversity best practices into the design and use of AI in hiring can help prevent discriminatory outcomes.

By actively addressing potential biases and ensuring inclusivity, organizations can build a more diverse and equitable workforce.

In conclusion, the use of AI in the hiring process holds great promise for organizations seeking to modernize and improve their talent acquisition efforts.

By leveraging AI technologies, businesses can attain a higher level of precision in candidate evaluation and selection, leading to improved hires and enhanced organizational performance.

It is vital to maintain a balance between the advantages of automation and the ethical implications of AI in decision-making.

With a commitment to fairness, transparency, and ongoing oversight, organizations can harness the power of AI while upholding legal and ethical standards in the hiring process.

However, it’s important to approach the integration of AI into hiring practices thoughtfully to ensure it is used fairly and ethically, with human oversight to prevent bias and discrimination.

As AI continues to advance, its potential to revolutionize hiring habits and practices is undeniable, offering new opportunities for organizations to build high-performing teams and achieve their strategic objectives.

A conscientious and ethical approach to integrating AI in hiring can lead to a more equitable and efficient hiring process, ultimately benefiting both organizations and job seekers.

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“We have seen several shifts affecting the workplace, including the emergence of generative AI (GenAI), pilots around establishing a four-day workweek, and changes to traditional careers,” said Emily Rose McRae, Senior Director Analyst in the Gartner HR practice. “This year’s predictions highlight the aspects of work that HR leaders must prioritize over the next 12 months.”

The top nine predictions for HR leaders are:

1. The Cost-of-Work Crisis Reaches a Breaking Point

Employees who have been working remotely or in a hybrid environment have experienced what it is to work without bearing the costs – financial, time and energy – associated with going into an office daily.

As many employers implement a mandate for remote employees to return to the office after long periods of remote work, employees now have a sharper awareness of what they “spend” to go to work.

In 2024, organizations looking to attract and retain talent will not just try to find the perfect hybrid strategy, but they will look to tackle the cost of work head-on via two strategies: by sharing the tangible and intangible costs of returning to the office or by finding ways to reduce the total costs.

This may include things such as: caregiving benefits, housing subsidies, financial well-being programs, or the ability for associates to bring their pets to work.

2. AI Creates, Not Diminishes, Workforce Opportunity

Despite anxiety and significant discussion around how GenAI will impact jobs, in the short- to medium-term, generative AI will fully replace few jobs.

GenAI will lower the level of technical skills needed for many roles, widely increasing the roles for which candidates can qualify.

Many jobs heavily impacted by GenAI will be redesigned and will have new responsibilities that include interacting with GenAI tools.

This year, leaders should partner with HR to assess how GenAI investments should change their teams’ roles and workflows, and how to identify potential internal candidates for newly redesigned roles. HR must also evaluate the impact on hiring strategies, identifying which technical requirements and assessments are now unnecessary for open and upcoming roles and determining how to assess talent against any new skill needs.

3. Four-Day Workweeks Go from Radical to Routine

A four-day workweek (4DWW) has become a centerpiece of large-scale studies in performance, union negotiations, and the preferences of many workers.

Embracing a 4DWW will require organizations to rethink the cadence of the work week and re-examine what is necessary to get work done.

Organizations in 2024 will use 4DWWs to improve talent outcomes – including employee engagement, performance and well-being – and business outcomes, including eliminating inefficiencies, increasing talent attraction and retention and driving competitive advantage.

4. Employee Conflict Resolution is New Must-Have Skill 

Conflicts between employees are poised to be at an all-time high in 2024 due to geopolitical crises, labor strikes, climate change, pushback to DEI efforts, and upcoming elections for half of the globe.

Conflict resolution requires actively working through challenging moments, pulling employees back from ostracizing colleagues with opposing viewpoints to focus on areas of mutual respect, or at least neutrality.

“Managers who can effectively navigate and manage interpersonal conflict among employees will have an outsize positive impact on their organizations; the question is how many really feel trained and prepared to do so,” said Peter Aykens, Chief of Research in the Gartner HR practice.

Organizations should consider bringing in dedicated conflict management trainings, creating shadowing and coaching opportunities for new managers to see how experienced leaders resolve intense conflicts between employees, and finding ways to recognize and reward effective conflict resolution at all levels of the organization.

5. Generative AI Experiments Will Yield Hard Lessons 

Enthusiasm, hype, and a strong fear of missing out or being left behind are driving executives to push for the implementation of GenAI within their teams and organizations.

Companies will need to actively manage the risks of GenAI, including more rigorous access and file classification policies internally, and solid quality control and judgment when utilizing the outputs of GenAI tools.

These risks don’t outweigh the potential benefits of GenAI, but they will lead organizations to train employees to develop judgment around not just information validity, but also how and when to use GenAI.

6. Skills Overtake Degrees 

College degrees are the top requirement of yesterday’s job descriptions. Organizations today are increasingly shredding the paper ceiling – the invisible barrier workers without degrees face – and embracing skills-based hiring, even for some corporate jobs long considered degree-dependent.

Removing degree requirements from job postings will enable organizations to attract qualified talent by hiring from a much broader talent pool that includes both internally developed talent and workers via Skilled Through Alternative Routes (STARs).

Leading organizations are increasingly touting their in-house universities and business schools – and expanding apprenticeship programs – as tailored credential programs that prepare talent with the specific skills they’ll need to advance.

7. Climate Change Protection 

Severe climate change-related events are shifting from localized and episodic to widespread and persistent, and organizations are responding by making climate change disaster response a more visible component of benefits packages.

In 2024 and beyond, organizations will begin to highlight and promote direct climate change protections as a key part of their benefit offerings. These will include explicit commitments to physical safety (such as plans to offer shelter or energy provisions when natural disasters arrive), compensation to impacted employees, and mental health support.

8. DEI Doesn’t Disappear, It Becomes the Way We Work

There has been a growing sense of disillusionment with DEI over the past few years; in the U.S. there’s even a sense of direct pushback. However, the critical need for diverse, equitable and inclusive workforces remains, leaving organizations uncertain about what to do next.

“In 2024, companies will begin to pivot from DEI existing solely in a silo to having it embedded throughout the organization,” said McRae. “In this new model, DEI will shift to a shared way of working as organizations fully integrate DEI values into business objectives, daily operations and culture.” ​

9. Career Stereotypes Collapse 

The traditional career path where employees rise up the ranks and retire at the peak of their career is going away. Many employees don’t retire at all or do so after a career shift or break. Workers are also facing involuntary disruption to careers due to economic cycles, displacement during conflict and natural disasters, and shifting responsibilities as technology and business models evolve.

As atypical career paths become mainstream, the well-entrenched talent stereotypes that underpin most talent management strategies will prove a growing barrier to talent acquisition and retention. For example, employers will break with the stereotype of career continuity by offering job sharing, gig work or reduced hours to provide greater flexibility.

To take advantage of expertise where it exists, regardless of tenure, organizations will break the mold of a step-by-step progressive career trajectory.

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In these necessary conversations, Führ said, it is vital that leadership teams do not lose sight of their organisation’s overall transformation objectives.

Ultimately, Fourth Industrial Revolution technologies are tools that should be considered as one part of the transformation journey and not all technological advances are necessarily useful for all businesses.

In her words: “Amidst the pace of technological change, it’s up to CFOs and other members of management to navigate how organisations should deploy funding for digital transformation to achieve the best possible return on investment.

“For mid-sized corporates especially, the challenge of balancing business requirements and aligning long-term organisational goals is compounded by the need to use resources as prudently as possible.

“Making sure that finance fits in with the rest of the digital transformation journey, has access to funding, the right skill set to assist with the change, all while ensuring the finance team is able to join on the journey is very important – and easier said than done.

“The aim shouldn’t be to transform simply for the sake of it, but to transform with specific, goal-orientated objectives in mind such as faster, more accurate and value adding reporting”.

Führ also hinted In a medium size corporate, there just isn’t room to implement the wrong tools because of the potential resource impact.

Continuing, Führ said “Change management will be important to ensure the effective adoption of technological changes. This is a great opportunity to partner with HR to ensure adoption within the team.

“Of course, many of the newest technologies that look set to make an even bigger impact on business and ways of working are still at an early stage but will evolve rapidly. Rather than seeing this scenario as a threat to job security, it should be viewed as an opportunity for leadership, strategic thinking, risk management thinking, critical thinking, problem solving, both in finance and the rest of the organisation, to really thrive.

“Adaptability and agility are key competencies as technology becomes entrenched in every aspect of business and organisations look for ways to differentiate themselves from their competitors. STEM education is the cornerstone of what will be required to navigate through Fourth Industrial Revolution”.

She highlighted: “Investing in tech education is something that I am particularly passionate about”.

Many CFOs are in the position to decide or influence the decision on where to spend socio-economic development funding.

“With Fourth Industrial Revolution gaining momentum, funding for education in these key areas should form part of all organisations’ socio-economic development investment agenda, and better still, a practical and long-term strategy to truly enabling digital transformation and 4IR”, Führ concluded.