If I had to pick one scenario where the value of AI is crystal clear: Explain my Pay! When you watch the video you immediately understand why. For employees: - a quick and easy way to understand all the numbers on a payslip - ask as many questions as they want - a smart way to compare their current payslip to the previous one For payroll professionals: - a sure way to lower the number of payroll questions - a junior assistant that helps them get work done - while they can focus on solving real anomalies As a former payroll center lead, I can tell you that this is the one that will drive service tickets down. And I'm pretty sure it actually saves time and improves everyone's experience! Does your payroll vendor offer this feature yet? If not, ask when it's on the roadmap. PS: the example shown is Joule from SAP SuccessFactors. #futureofwork #hrtech #payroll #ai
This morning, I had the opportunity to attend a Payroll Executive Leadership Breakfast, where the use of AI in payroll was a key topic of discussion. One early adopter shared their experience with CoPilot, which has been in use for five years now. Additionally, we heard insights from the team at Atlassian, who are leveraging their own AI tools to manage front-line payroll queries. From a vendor perspective, there were a few solutions being explored, but it was clear that several challenges remain in fully optimising these tools for payroll. It’s an exciting time for the industry....
This feature sounds like it could really drive tickets down! Do you think these updates to chatbots could eventually handle more complex payroll scenarios as well? Ps. Looking forward to the answers when people tell the bot they should be earning more money
No doubt! As a former Payroll and Self Services developer, I’ve seen the number 1 used HCM feature is My Payslip. I’m sure this explain my payslip is going to be a close #2 place. What I wonder is if the vendors could do a better job in the first place with the payslip app / service, maybe “explain this” would’ve never been needed… does it show a weakness in solving the original need of users, or is it really a new feature and capability?
Absolutely agree Anita! Great implementation. How have you captured the actual rules that the organisation wants to use to pay, rather than the generic government mandated minimum rules?
Very good exemple. Thanks for sharing, Anita Lettink. We just need to be careful with AI hallucinations when it comes to law and regulation interpretation. What if the AI answer is not correct? Are we ready to accept errors from AI as we accept it from human beings?
Bram de Bruin heb je deze tool al gezien?
This is built using a solution built on the RAG architecture — it’s like having a live human collaborator at your fingertips! This innovative chatbot engages with employees in a natural, conversational manner. Plus, you can rest easy knowing that your organization’s data remains completely secure; it’s not used to train the language model, but rather to provide personalized context to every employee’s question. Experience seamless interaction and enhanced support like never before!
Spot on, Anita! We’re so ready to get this game-changer to our customers in early 2025. Mountains of HR tickets? Goodbyeeee 👋
Super cool and not trivial. Assuming it's reliable, it's the best LLM implementation I have seen so far in the HCM space.
Business Development Manager at iiPay
1moWhen done right, this can be a huge help. There's a few pitfalls to avoid though: 1. We can see that AI still frequently 'hallucinates' - presenting falsehoods as facts with 100% confidence. In payroll, there is no margin for error on this. The bot should refer to its source so that we can verify its claims. 2. There's no quicker way to frustrate your own workforce than to force them to speak with a robot when they need a human touch. The AI should be an alternative to opening a ticket - not a forced barrier to go through before you can speak to HR. Thoughts?