September is typically the month when HR departments revise their reward and performance management strategies and budgets for the year ahead. Many are also exploring how to leverage AI, automation and data-driven HR to make these activities more efficient and equitable. “Annual salary reviews and bonus processes can literally take a minimum of eight weeks to complete,” says Yoliswa Mqoboli, Executive Committee Member at the South African Reward Association, who has first-hand experience in actively developing AI solutions to reduce this burden. AI-driven analytics and automation can bring the kind of change that HR departments and their stakeholders desperately need. The HR problem While many organisations already have repositories of historical reward data, much of this is captured manually and analysed by hand.[1] [2] AI, automation and data-driven HR promise to take away the pain and simplify the performance review journey for HR practitioners, corporate managers and employees alike. “We spend most of our time modelling reward data in Excel and chasing feedback on bonus schedules and pay increases; we don’t get to the important stuff, like developing innovative strategies and addressing pay inequalities,” says Mqoboli. Unrivalled speed and simplicity AI can support faster data processing, but it isn’t a magic wand. Instead of spending weeks building spreadsheets, AI tools can assist with automating repetitive tasks, such as performing calculations, flagging anomalies or summarising data. However, there is still heavy reliance on humans to input structured data and exercise oversight on the data. Better insights The future of AI will also likely disrupt traditional annual performance reviews. There is room for innovative tools that will monitor employee and team performance in real time to provide companies with richer datasets on which to base their remuneration decisions. In turn, employees will have access to current and historical data that would give insights on their developmental plans and improvement areas for succession into next roles. Talent rescue Embedding AI analytics into current processes can help HR spot early signs of employee disengagement and turnover risks. This lets them address issues proactively, design recognition incentives, and develop other programmes to drive retention. Fairness and equality AI models, through machine learning, can be trained to ignore biases humans naturally stumble into. They can also expose biases in performance and remuneration governance and decision making, helping companies become better employers and more compliant with law. Time for humans to shine The biggest transformation that AI-driven analytics and automation bring to the table is that they allow HR practitioners to flex their expertise. With AI taking over the heavy lifting, they can tackle business-critical initiatives that demand human ingenuity and finesse, like developing better reward strategies. Where is the AI? Although there are examples of inhouse AI solutions being developed by large South African corporations, Mqoboli says few commercially available options have leveraged AI at all. “We’re seeing heavy investment in AI-driven HR in other countries, but here it’s still a niche offering,” she says. No doubt, then, HR departments will want to see more on offer in 2026 so they can move ahead with their transformation. ENDS MEDIA CONTACT: Idele Prinsloo, [email protected], 082 573 9219, www.atthatpoint.co.za For more information on SARA please visit: Website: www.sara.co.za X: @SA_reward LinkedIn: South African Reward Association Facebook: SARA – South African Reward Association
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Written by: Morag Phillips and Martin Hopkins What does fair pay really mean? I imagine that if you asked a group what “fair pay” means, you’ll have a collection of views. If you then asked a group what “fair parenting” means, you’ll have another collection of views. The concept of fairness seems to rest partly in our own experience of the matter under consideration, and it seems that it is very tainted by our own comparison of the application in our immediate context. To step out of pay for a while into the parenting world, a sibling that was allowed to have a smartphone at age 15 may deem it unfair when a much younger sibling received their smartphone at age 12. The sense of outrage that comes with an experience of unfairness makes it a burning issue. It burns brightly when it’s happening to us! Fairness itself does not inherently have a bias. The concept of fairness revolves around treating all individuals or groups impartially and without favouritism or discrimination. It aims to ensure that decisions, processes, or outcomes are reasonable, justifiable, and consistent. Fairness typically refers to the quality of being reasonable and impartial. It involves ensuring that decisions or actions are consistent, unbiased, and considerate of all relevant factors. Fairness often focuses on the process or procedure by which decisions are made rather than the outcomes themselves. For example, in a decision-making context, fairness might mean giving everyone an equal opportunity to voice their opinions or ensuring that rules are applied consistently to all individuals. So is it fair that both siblings got a Smartphone? Does the timing make it different? Managing pay practices with a focus on fairness, justice, equity, and equality involves understanding each concept distinctly and designing a pay structure that balances these principles. Here’s a breakdown of each concept and how they relate to pay management:
Let’s add 2 more important concepts…
We could ask which factor should be considered the most important. It is indeed possible that pursuit of one element may mean we don’t achieve the other. In this example, we could say there is fairness, but not justice: Imagine a scenario where a company needs to downsize due to financial difficulties. The company decides to retrench employees based solely on tenure, meaning those who have been with the company the shortest amount of time is let go first. This decision might be considered fair because it applies the same criteria (tenure) to all employees without discrimination. However, it may not be just if some employees who are newer have made significant contributions or have higher performance ratings compared to longer-tenured employees who are retained. In this case, fairness in terms of consistent application of criteria (tenure) is maintained, but justice may be lacking because deserving employees are being retrenched based on a criterion that does not necessarily reflect their value or contributions to the organisation. This demonstrates that fairness and justice are distinct concepts that can sometimes conflict with each other depending on the context and the specific criteria or principles being applied. Achieving both fairness and justice often requires careful consideration of both the processes used to arrive at decisions and the outcomes that result from those decisions, taking into account relevant ethical, moral, and contextual factors. To design a pay structure that integrates fairness, justice, equity, and equality, managers can consider the following strategies and practical tools:
In summary, while fairness focuses on the fairness of procedures and decision-making, equity assesses whether those procedures result in fair and just outcomes. Together, fairness and equity aim to promote a more just and equitable society or organisation where everyone has equal opportunities and access to resources based on their circumstances and contributions. As we close, a challenge to our industry is to see the determination of an organisation-specific living wage as a decision sparked by justice, supported by fair policy, and resulting in an equitable outcome. Morag Phillips is a Master Reward Specialist, a SARA Executive Committee member, Chair of the SARA Thought Leadership Committee, and a member of the SARA Conference and Reward Awards Committee. Martin Hopkins is a Master Reward Specialist, and a member of the SARA Thought Leadership Committee, and Head of Reward Advisory Services at Bowmans Law. ENDS MEDIA CONTACT: Idele Prinsloo, [email protected], 082 573 9219, www.atthatpoint.co.za For more information on SARA please visit: Website: www.sara.co.za Twitter: @SA_reward LinkedIn: South African Reward Association Facebook: SARA – South African Reward Association |
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