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By combining advanced AI with cutting-edge operations research, we make rostering smarter, faster, and effortless.
Our AI considers every rule, constraint, and preference to create the best possible schedule automatically, giving you time back to focus on your people and patients.



RosterLab is an optimisation solver dedicated for workforce scheduling. It doesn't guess; it mathematically proves the schedule it finds is the best (or very close to it) under your specific rules.
From building your first roster with RosterLab, you'll experience time saved and fewer errors from day one.
Maintain your rostering approach while reducing admin for an easy, seamless transition.
Personalised rules for roles and skills make it easy to scale operations with your team.
"The main benefits of RosterLab is that you can generate the roster automatically, but you can also switch roster views by employee and by shift, making it easier to manage - that is what the staff loved. We trust it. It's made management's life easier."
Auckland-based Radiology Department, MRT Lead
All-in-one platforms claim to do it all - but end up doing nothing exceptionally well. RosterLab is purpose-built for one thing: creating the best possible roster, every time.
Our AI Rostering Assistant (Otto) will soon be able to take action on your behalf, making rostering effortless - always with your approval and oversight.
Upload your Excel or CSV files and let Otto create a draft roster for you automatically, saving hours of manual work.
Otto will perform tasks such as adding employees, creating shifts, and managing your roster with simple commands.
Receive intelligent suggestions for schedule optimisation and staff well-being based on your rostering data.
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Learn MorePartner with RosterLab for better team and patient outcomes.
Common questions about our AI-powered rostering technology
No, RosterLab isn't an LLM - and that's a good thing. Language models are great for writing emails, not for deciding who's on the 2 a.m. shift so your team avoid fatigue.
RosterLab uses mathematical optimisation (operations research) to build and solve rosters. The AI applies mathematical, statistical, and computational methods to help make better rostering decisions - especially for complex ones involving limited resources, risks, and trade-offs.
It doesn't need to. You set rules and priorities; the AI solver then finds the optimal solution. Over time, you can refine your priorities and rules (e.g., fairness) to reflect your policies - no retraining.
Join the healthcare organisations already optimising their workforce with RosterLab.