The AI hype cycle has companies worried that they’re behind the times. Never fear: artificial intelligence is far from replacing payroll professionals.
The rise of artificial intelligence has been a major topic of discussion at every industry event I’ve attended in the past few years. At times, it can appear that AI is the solution for every business issue, and if you’re not deeply immersed in it, you’re already late to the party.

What do we mean by AI?
Artificial intelligence can describe many tools, so here’s a cheat sheet:
Large Language Models (LLM): Advanced AI systems trained on vast amounts of text to understand and generate human-like language.
Robotic Process Automation (RPA): Software that automates repetitive, rule-based tasks like data entry or invoice processing.
Agentic AI: AI systems designed to take initiative and make decisions independently to achieve specific goals.
Machine Learning (ML): AI that learns from data to improve performance over time without being explicitly programmed.
General AI: A theoretical form of AI that can perform any intellectual task a human can.
But here’s a secret: everyone feels a little behind the curve. And organisations rushing to implement Generative AI tools now are not necessarily going to see a return on that investment. Things are moving so quickly that tools and technologies are rapidly being outdated, costs are almost certain to escalate and in its current state, in most use cases, AI is still like an intern whose work you must always double-check. Ironically, the technology is bad at the things we expect computers to be good at, and surprisingly capable in areas where humans aren’t used to asking them for help.
But that’s not an excuse to ‘sit this one out’. Change is real and coming at pace. While I doubt many companies are yet ready to have AI run payroll autonomously, it is finding its way into payroll workflows. Be sceptical of the hype, especially that AI Agents are ready to run payroll and accomplish every other HR task with ease. But do roll up your sleeves to play in the AI sandbox and get familiar with what the technology can do for them. Here are a few things I’ve found helpful so far:
AI tools payroll people should try out
- ChatGPT: If you’ve only tried one AI tool, it’s probably this one. OpenAI’s generative AI text generator set off the AI arms race we’re currently in and recent improvements have filled the internet with fun AI generated memes. But it has a serious side and like any of the major models can be a useful sounding board to ‘chat’ through ideas and refine your thinking. It takes some time to work out how to prompt effectively and the ‘Almost Timely News’ Substack from Christopher Penn is a great place to start.
- CoPilot: Microsoft’s AI tool has been integrated into all its 365 apps, and its particularly good at providing and debugging formulas in Excel – which has long been the ‘go to’ for payroll teams. (ChatGPT is also surprisingly good at generating complicated spreadsheet formulas.)
- AI for meetings: Zoom, Teams and other video call platforms have become very good at generating transcripts and summaries of meetings and calls. I am very happy to offload notetaking to technology.
- Simultaneous interpretation: One step on from automated transcripts and asynchronous translation is real time AI voice translation for video calls. Technologies like Pinch are just starting to appear, covering 30+ languages. The impact on globally distributed teams in helping everyone understand and fully engage could be enormous. Currently this is edge case, but it surely won’t be too long before this is a standard feature – potentially with your own voice and synched video as can already be seen in the likes of Heygen.
- Calendar maintenance: If you’re a manager overwhelmed with meetings, calendar and scheduling tools like Calendly, Motion or Reclaim can help you spend less time on admin work.

How AI could be helpful for payroll
Automation has been a gamechanger for payroll in minimising manual interventions and streamlining operations, saving time and money while reducing human errors. Robotic process automation (RPA) is already in play, and AI will ramp up its capabilities even further.
Error detection
Data validation is always a chore — training AI tools to note discrepancies and changes in patterns helps catch problems before they advance.
Fraud protection
Likewise, AI could be trained to flag requests from suspicious sources and flag edge cases that humans might miss.
Agentic support
Many common questions from employees can be handled by simple chat bots, but with integration of LLMs, agentic AI will be able to handle even more complicated requests.
Better forecasting
When new tax legislation is on the horizon, I could see using AI as a sandbox to show how changes would affect staffing budgets and preview pay slips for employees.

Payroll knows better than anyone that the best software in the world won’t help if your data isn’t clean. Every organisation should be focusing on harmonizing data collection and setting up global reporting systems, irrespective of AI.
Payroll points to consider
- Free AI tools’ terms of service (TOS) often state that they can store any data fed into the engine. Don’t share with an AI tool any business information that you wouldn’t be comfortable posting on the internet.
- Regulations regarding the handling of personally identifiable information (PII) vary by country. AI tools involved in payroll must be compliant with those laws in all affected jurisdictions.
- Human validation of AI tools’ output is still necessary. AI tools’ TOS specifically state that they cannot guarantee accuracy of their output and are not liable for errors.
There is a definite AI ‘bubble’ in the economy, where the expectations of outsized returns are driving massive investment. If those returns disappoint, then the AI bubble could burst, and like the dot com crash 25 years ago, only a few key players will remain in business. However, we know how that went – those companies that did survive emerged as the backbone of the internet economy. Payroll professionals who are familiar with the landscape of AI tools will be well positioned to advise their company on where to invest their time and money, and what’s not worth the hype.
As more tedious tasks are automated, payroll professionals are going to take more consultative and strategic roles with a human touch within an organisation. AI isn’t guaranteed to understand context, nuance or human whims. But payroll professionals who have a solid understanding of what AI is — and isn’t — will be well-prepared to advise on the company’s AI efforts.