AI is everywhere in HR tech right now, and employee benefits software is no different. Some of it is genuinely useful, but some of it is rebadged automation that’s been working for years. Here’s where FlexGenius stands, what’s coming next, and what we won’t do.
Every HR and reward leader we speak to is hearing the same question from their board, their employees and their suppliers. What are you doing with AI?
It’s a fair question. It’s also one we’ve been thinking about carefully ourselves.
This piece is our current position. It covers what FlexGenius already does that competitors call AI, what we’re adding to the product this year, and where we draw the line.
A lot of the talk about AI in employee benefits platforms describes things we’ve been doing since long before AI was the headline.
Our platform tailors what every employee sees based on what matters to them. Seniority, location, working pattern, family situation, life stage. When something changes, the platform responds. A new dependant prompts a nudge about life assurance and medical cover. An open window prompts a renewal message. A change of role prompts a refreshed benefits summary.
We call these data triggers. Some competitors are now calling it AI. The outcome is what matters. Employees get the right information at the right moment, and HR teams stop chasing.
If you’re already a FlexGenius customer, none of that is new. It’s how the platform works today, and every day, for every employee on it. We didn’t need AI to make it work, and you don’t need to wait for AI to get more from it.
We’re not standing still. Three AI additions are in our product development road map, all of them in service of what HR and reward teams already want from a benefits platform.
A FlexGenius chatbot
The first release answers benefits questions in plain English, the way employees naturally ask them. Beyond that, it handles admin tasks. Tell it the name and date of birth of your new dependent and it adds them to your medical cover, no ticket required.
Smarter analytics
We’re building on the expertise, technology and data foundations already in place across our parent company, integrated HR and payroll software provider Ciphr. That gives us a stronger base for smarter analytics, so HR and reward teams can ask better questions of their benefits data and get faster answers. That gives us a stronger base for smarter analytics, so HR and reward teams can ask better questions of their benefits data and get faster answers.
A sharper recommendation layer
Our existing nudges already prompt people to act, but we’re enhancing this with AI. Closer to the moment of relevance, and with personalisation tuned to each employee’s circumstances.
Three additions, all pointed at the same outcomes, that’ll raise employee engagement and save administration time.
We use AI in how we build and run the product. Our developers use it for code and design tasks, and our content team uses it to draft and refine copy. We also use it to record, transcribe and summarise meetings – which is an excellent time saver.
As part of the Ciphr Group, we also benefit from AI tooling Ciphr has built for account management and customer support. It’s helping colleagues across the Group spot issues earlier and serve customers better.
None of this is in your platform, but it makes us a sharper team and better placed to respond to your needs.
We’re being deliberate about what we say no to. We won’t dress up existing automation as AI to look more current. The personalisation and triggers we offer today already work, and have been working well for years, which shows in our 95% customer retention rate. We’d rather show you that working than rebadge it.
We won’t build in AI features that don’t earn their place. If something doesn’t lift engagement, save admin time or improve outcomes for your people, it doesn’t go in the product.
We won’t put your data anywhere it shouldn’t be. Salaries, NI numbers, family details, benefits selections - none of it goes into open AI models. We’re seeing AI security and data handling questions more often in RFPs, particularly from larger employers, and we welcome them. The bar is going up, and we’re aligned with that.
FlexGenius is part of Ciphr, a UK HR software provider with deep expertise in payroll, HR data and people management. The AI work happening across the Group gives us a head start. Established guardrails, proven internal use cases, and a data infrastructure designed for HR-grade information.
We’ll keep moving. We’ll keep being honest about what’s ready today and what’s near term. And we’ll keep asking the same question of every AI feature on our roadmap. Does this make the platform better for the people who use it?
If you’d like to talk through what AI in employee benefits platforms looks like in practice, get in touch. We’re happy to be specific.