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In last week’s article, I wrote about how the evidence problem in HR was never about ambition or awareness. It was about infrastructure. What tools the profession has had available to it, what those tools were designed to surface, and what they were never built to see. This week I want to get into what that actually means in practice, because I think the conversation about HR technology tends to get blurry in ways that cost us credibility.
Most organisations call their HR system an HRIS, a Human Resources Information System, or an HCM, a Human Capital Management platform. These tools do something genuinely important: they store and manage the people data of the organisation, they run payroll, they automate administrative workflows, and they provide the compliance infrastructure that Australian employers need to operate within the workplace relations system. Anyone who has navigated modern award interpretation, single touch payroll, or the documentation demands of an unfair dismissal matter will tell you that a well-configured HRIS is not optional. It is foundational, and these systems are doing exactly what they were designed to do.
The problem is not the HRIS. The problem is the assumption that the HRIS represents the full picture of HR practice, because it does not come close.
The HRIS was not built by HR practitioners. It was built by enterprise software architects who applied the same logic they used to build ERP systems, the same frameworks designed to count inventory, record transactions, and track the movement of assets through a business. In that model, an employee is a unit. Headcount moves in and out the way stock does. Payroll is processed the way accounts payable is processed.
That logic works perfectly for what it was designed to do. Counting is essential in merchandising. Recording the financial movements of a business is the foundation of accounting. But a headcount and its turnover is not HR, in the same way that a stock count is not merchandising strategy and a revenue figure is not a CFO’s contribution to the business.
HR practice, the judgement, the prevention, the cultural architecture, the risk managed before it becomes a cost, was never a unit to be counted. And so it was never built into the system.
In 2026, in the Australian context specifically, that architecture is no longer sufficient on its own. HR functions are operating in an environment of rapid and compounding regulatory reform, from the positive duty obligations under anti-discrimination law to the psychosocial risk framework under work health and safety legislation, to the pace of Fair Work Act change that has compressed years of reform into a very short period. The complexity HR is now asked to manage, and the evidence HR is now expected to produce, cannot be generated by a system designed to count people the way a warehouse counts stock.
The HRIS remains foundational. But foundational is not the same as sufficient.
The practice of human resources is invisible in ways that other functions are not, and that invisibility is structural rather than accidental.
The risk that was never realised because a practitioner caught it early enough to redirect. The structure of work designed deliberately so that certain behaviours could not take root. The mental risk assessment running in the background of every investigation, every restructure, every performance process, evaluating fairness, consistency, and legal exposure simultaneously. The consistency and integrity of methodology applied across cases so that outcomes are defensible not just individually but as a pattern. None of that is visible in the data an HRIS generates, and it was never designed to surface it.
The data confirms how wide that gap has become. The 2023 Mercer Global Talent Trends study found that data analytics and insights was the single area where CHROs most commonly said they needed greater depth of knowledge. The leaders of the profession, naming the problem openly. That means awareness is not the issue. Infrastructure is.
There are specialist tools that have carved out niches in the space above the HRIS. Culture Amp is the most recognised in the sentiment and engagement space, and it does that specific job well. But point solutions require their own contracts, their own budgets, their own implementations, and the considerable effort of shifting the habits of an entire organisation’s population to generate the data in the first place. For many HR functions, particularly those operating under resource constraints, that overhead is prohibitive. And even when those tools are in place, they still measure sentiment rather than practice. They tell you how people feel, not the value the HR function created.
The space where HR practice lives, the decisions made, the interventions taken, the consistency maintained, the risk actively managed, has remained largely unoccupied by technology. Ambition has remained for the last twenty years. A solution has not been offered.
The conversation about AI in HR tends to focus on efficiency: drafting faster, processing more, reducing administrative burden. Those benefits are exceptional and I would not dismiss them. But the more important shift is what AI makes possible above the HRIS, in the practice layer that has never had a real home in our technology stack.
HR work generates enormous amounts of signal. Cases evolve, decisions are made, patterns form, interventions happen, and all of that is information about how the organisation is actually functioning in real time. The systems to capture that signal, structure it, and make it meaningful as the work is being done have not existed until now. That is what stands out to me, and while the efficiency gains alone are considerable, the more important shift is visibility.
The ability to show a board what preventative action looks like in practice. To demonstrate that positive duty obligations are being met through consistent, documented behaviour across the function over time. To give a CHRO real-time sight of where risk is building before it becomes a complaint, a claim, or a cost.
The textbook passage I wrote about last week was aspirational because workforce analytics were, for the first time, giving HR new visibility and challenging the profession to operate at a higher level. That was the first catalyst. It moved HR out of purely administrative framing and into a conversation about data and strategy.
The democratisation of AI is the next one. We are back full circle, evaluating how far we have come and how this new technology will finally take HR practice beyond what the HRIS was ever built to reach.