The role of HR in driving mentorship

Mentorship

By Pumla Mdlalose, Head of HR, FINANCIADO Mentorship is often spoken about in warm, informal terms: a senior colleague guiding a junior one, a manager offering career advice, or a professional “paying it forward.” These relationships are valuable, but in today’s fast-changing workplace, mentorship should not be seen as optional or ad hoc. It is a strategic lever that human resources (HR) leaders can use to drive engagement, retention, and long-term organisational performance. At a time when businesses are under pressure to attract and keep scarce skills, mentorship offers HR a practical, cost-effective tool to strengthen both people and performance. Why mentorship matters now Globally, employee expectations are shifting. Younger generations entering the workforce want more than just a pay cheque. They want growth, development, and purpose. In fact, LinkedIn’s 2024 Workplace Learning Report found that 94% of employees say they would stay longer at a company if it invested in their career development. Locally, the South African workplace faces additional challenges: high youth unemployment, ongoing transformation requirements, and a competitive market for qualified professionals. Employees are looking for organisations that not only offer stability but also demonstrate a clear commitment to their growth. Mentorship offers exactly that. It provides a structured way to transfer knowledge, build skills, and create meaningful connections. It signals to employees that the organisation is invested in their success, which in turn boosts loyalty and motivation. When employees feel seen, supported, and stretched, they are far more likely to remain engaged and to contribute at their highest potential. Too often, mentorship is left to happen organically, a chance relationship between a supportive leader and an eager junior. While these informal bonds have value, HR leaders need to elevate mentorship from chance to culture. That means designing and embedding it into the fabric of the organisation. This includes: Taking this proactive approach ensures that mentorship is not left to chance but becomes a powerful driver of organisational capability. It also helps to align mentorship outcomes with business strategy, whether the goal is succession planning, building technical expertise, or strengthening leadership pipelines. Mentorship and diversity Mentorship is also a critical tool for advancing diversity, equity, and inclusion (DEI). In many organisations, underrepresented groups face barriers to progression not because of a lack of talent, but because of a lack of access to networks and sponsorship. Structured mentorship programmes help bridge this gap. Intentionally pairing employees from diverse backgrounds with senior leaders allows organisations to accelerate transformation and build pipelines of future-ready talent. This is particularly relevant in South Africa, where broadening access to opportunity remains both a business and societal imperative. Research from McKinsey has consistently shown that companies with diverse leadership teams are more innovative and perform better financially. Mentorship, therefore, is not only a tool for individual advancement but a lever for building more competitive and resilient organisations. Benefits beyond the individual The value of mentorship extends well beyond the mentee. Mentors themselves benefit by sharpening their leadership skills, gaining fresh perspectives, and staying connected to emerging trends. Mentorship keeps senior leaders grounded in the realities of younger generations, which can inform better decision-making. For the organisation, the benefits multiply: In short, mentorship strengthens the social fabric of the workplace, creating an environment where both people and performance thrive. Making mentorship a strategic priority For HR leaders, the next step is to move mentorship from the margins to the mainstream. It should be recognised as a strategic enabler of performance, not just an employee perk. The most successful organisations will be those that: Forward-looking companies are already experimenting with reverse mentoring, where junior employees’ mentor senior leaders on digital trends, social issues, or generational perspectives. This demonstrates that mentorship is not a one-way street but a dynamic exchange of knowledge and insight. As workplaces continue to evolve under the influence of technology, hybrid work, and shifting employee expectations, HR has an opportunity to redefine how organisations nurture and retain talent. Mentorship, when treated as a strategic lever, provides a cost-effective and human-centered way to achieve this. The question is no longer whether organisations should invest in mentorship, but whether they can afford not to. In the battle for skills, engagement, and long-term performance, mentorship may well be one of HR’s most powerful competitive advantages. Pumla Mdlalose is the Head of HR at FINANCIADO

How is your private information protected from AI?

Private information

By Koketso Mamabolo “Data! Data! Data! I can’t make bricks without clay.”  Written over a hundred years ago, these words have taken on a different meaning. When The Copper Beeches was published in June of 1892, sharing and receiving information could only happen as fast as horse and steam-powered trains and ships could travel.  It has become cliché but it is difficult to overstate how much information we have access to at the click of a button, something which the protagonist of the story, Sherlock Holmes, may have appreciated. All of Sir Arthur Conan Doyle’s stories about the master detective can be easily searched, downloaded, and printed in less time than it takes to boil a kettle.  If it’s not enough that a simple search can reveal information – which encompasses the length and breadth of human knowledge, from the beginning of time to real-time – now artificial intelligence has given us a tool that could even produce a Sherlock Holmes story for you in minutes.  Do you want it as a sitcom? A gothic horror? Do you want it Disney-style? Maybe Great Gatsby set in 1980s America? All that can be done in less time than it would take you to read a page or two of The Copper Beeches. Whatever shape or form you want, generative AI can do it. Well, that’s if you’re willing to sacrifice, unsurprisingly, on quality and originality. Since this is a machine and not the great short story writer himself, you would expect a poor imitation of the original. But here lies the rub. Even if it creates a “new” Sherlock Holmes story, it has to pull bits and pieces from the original stories, and the narratives, styles, and details of works other than Sherlock Holmes. It has to be able to produce something familiar.  It needs material to work from. It needs data. To make bricks, it needs clay. Without data, there is no artificial intelligence. But what happens when the data being fed into these AI models is personal information?In The Copper Beeches the protagonist is approached by Violet Hunter, a woman who needs Holmes’ help in a peculiar case in which she is being asked to forfeit her personal privacy as part of a new job. While the story covers a few themes, one that sticks out is the tension between what people are asked to sacrifice and what those sacrifices are used for. What does this have to do with AI? In order for us to have AI models doing the kinds of things they are doing, and will be able to do, we need to feed them a lot of information. While literature like Sir Arthur Conan Doyle’s stories are covered by copyright law, what about personal information? What are the limits, if any, on how personal information can be used by AI? Enter POPIA With generative AI seemingly always breaking new milestones, the question of whether or not policymakers and regulators are prepared and informed enough to adapt is one all countries have to reckon with. South Africa is still catching up in terms of policies and legislative frameworks. As one of the countries with the highest adoption rates in the world, particularly among developing nations, South Africa could become a case study in the impacts of AI. While a national policy on AI is still being developed, there are already legal frameworks in place which cover some of the concerns. Along with the country’s lodestar, the Constitution, the laws that apply to the AI realm include the Consumer Protection Act, the Cybercrimes Act, and the Promotion of Access to Information Act (PAIA). But the key piece of legislation protecting the public is the Protection of Private Information Act (POPIA). In order for the public and private sectors to function they need us, like the woman in The Copper Beeches – who has to cut her hair to get the job – to give up something personal. In this case it is our information, which we all give out all the time, sometimes without thinking. This is especially relevant now that more and more businesses are experimenting with AI agents and at times having to share data which may contain the private information of a customer or a client. In a survey McKinsey found that over 60% of businesses are experimenting with AI agents, while 88% are using AI regularly in at least one business function. The healthcare sector is one alarming case which has reported one of the highest AI agent adoption rates. POPIA compels organisations and businesses to avoid risks and protect the rights of the public. The act sets out data protection principles which apply when using AI to process information. A valid legal basis for processing the information is required which could be a contractual obligation, consent or legitimate interest. For historical data, the original sampling must have been in line with the act, and the data can only be used for the original purpose for which it was collected.  Read the full story in the March edition of Public Sector Leaders: Sources: Government Gazette | Microsoft | Michalsons | Labournet | McKinsey

How to keep the ‘H’ in HR

H in HR

The HR Systems landscape is burgeoning with fantastic tools. From chatbots screening resumés to machine learning models predicting employee turnover, AI is rapidly reshaping the work we do.

Are we ready to stop wishing and start leading?

Leading

It’s no longer enough for CEOs to say they support gender equity. What matters is how often those words translate into real change – and, for most companies, the evidence is underwhelming.