SSI builds schedules that cost less, break fewer rules, and keep your best people from leaving.
Someone called in sick. Someone needs a day off. Someone can't work that shift because of a rule no one remembers writing.
The roster gets rebuilt. Then rebuilt again. Then someone gets paid overtime nobody approved. Then a star employee quits because their preferences were ignored — again.
This happens every week. In hospitals. In supermarkets. In fleets. In hotels.
It's not a people problem.
It's a math problem hiding inside a people problem.
There's a way out
You'll see results in weeks. Most of our customers see them sooner.
Your HR system, your time tracker, your payroll, your point-of-sale — whatever holds your people, your shifts, and your hours. We don't replace any of it. We sit on top.
Labor laws. Union contracts. Skill requirements. Time-off policies. Your specific quirks. The software learns the rules of your business — not the rules of "scheduling in general."
Every week, every shift, every change. The software does the math. Your managers approve. Your staff get a roster they can actually live with.
200 staff or 20,000 — doesn't matter. What matters is the shape of the problem.
Nurses, doctors, technicians. Specializations, certifications, on-call rotations. A scheduling mistake isn't a payroll headache — it's a patient safety issue. You need rosters that respect every rule, every preference, every certification. And you need them on time.
See the healthcare use caseEach store has its own peak hours, its own staff mix, its own local manager who's been begging for a better way to schedule for years. Labor is your second-biggest cost line. Schedule wrong by 5% and your margin disappears.
Some are idle. Some are overbooked. Some are racking up overtime that wrecks your cost model. Your dispatcher is rebuilding the roster three times a day. The software you're using was built for office workers, not for moving fleets.
Different sites need different certifications. Some shifts pay overtime, some don't. Some guards can't work nights. Your roster manager is on the phone for the next two days. Then a guard quits and the whole thing falls apart.
Your business runs on demand spikes. Your staff are part-time, full-time, freelance, on-call. Your scheduler is somehow expected to forecast guest volume, match it to availability, respect labor law, and have it ready by Friday. Every Friday.
Three shifts. Multiple lines. Skill-rated operators. Mandatory rest periods. Compliance audits twice a year. The spreadsheet your supervisor maintains is a single point of failure for your entire production line.
Your industry doesn't matter. Your problem is the same problem.
The software predicts how many people you'll need, where, and when. Up to 16 weeks out. It learns from your history, your seasons, your promotions, your local context.
Tell the software your constraints. It produces a complete, legal, fair, cost-optimized roster in minutes. Then it shows you alternatives — cheaper, more balanced, more aggressive — and lets you pick.
Your people tell the system when they want to work, when they can't, what shifts they prefer. The software factors that in — not as an afterthought, but as part of the math. Result: lower turnover, higher morale, fewer no-shows.
The roster updates the moment something changes. A sick call, a no-show, a demand surge. The software re-optimizes only what needs to change. Your managers approve. Your staff are notified.
Your people see their schedule on their phone. Submit preferences. Request time off. Swap shifts with each other. Get notified when something changes. Your managers stop being the middleman for everything.
Built into the software: an assistant that answers operational questions in plain English. "Who can cover the night shift on Charge tonight?" "How much overtime are we tracking this month?" "Show me everyone with a pending time-off request." Type the question. Get the answer.
Real screens. Real data flow. No vapor.
Every Monday, someone spent four hours building a schedule that broke by Tuesday. Overtime was a budget line nobody could explain. The best staff kept leaving. The worst stayed.
Sound familiar? It should. This is what every operation looks like when shifts, skills, and rules collide at scale.
A 200-bed private acute hospital. 128 clinical staff across nursing, charge, RN, and technician roles. Multi-shift, multi-unit, certification-gated rosters.
The business was a hospital. The business could be yours.
These ranges reflect what enterprise deployments typically achieve in the first 6–12 months. Your starting point shapes your endpoint. We commit to specific targets before we deploy.
Here's what we ask instead:
We deploy. We measure. We show you what changed.
If the numbers show up, we talk about a partnership. If they don't, we shake hands and go home.
That's how confident we are.
The only thing left is a conversation.
