Building the monthly roster takes days of a senior nurse's time
Built by hand, every month.
The AI builds next month's roster in minutes. A rules engine checks every assignment against licences, rest, hours and ward policy. Your charge nurse reviews and publishes. Your CNO sees every ward, every shift, in 26 reports.
Built around the rules your hospital is held to
One system that turns your hospital's data into a safe, published nurse roster.
Behind every nurse staffing crisis is a manual process that was never designed for the complexity of modern hospitals.
Built by hand, every month.
Nothing blocks an unsafe cell.
After the shifts were worked.
No row, so no warning.
Will night shift stay safe?
Retyped into payroll.
A week for one snapshot.
Nobody knows why.
From raw hospital data to a published roster, in six steps. The system fits into the way nursing leadership already works.
Set ratios, minimum staff, required certificates and shift patterns per ward.

Census and acuity calculate how many nurses every shift needs.

AI builds the month. The rules engine checks every shift and fills any gaps.

Adjust, swap or float staff, then publish and print the daily sheet.

Ranked replacements for callouts. Two-stage approval for leave and overtime.

26 reports for leadership and a tamper-evident log of every action.

Two tiers work together on every roster. You always get a roster: either complete, or with an itemised list of the slots that could not be filled and why.
Required nurses per shift, plus a de-identified picture of every eligible nurse.
Azure AI Foundry in UAE North proposes assignments balancing six factors across the whole ward.
Every row faces the same gates as a manual assignment. Failing rows are dropped and logged; gaps are refilled from the eligible pool.
Ready for the charge nurse to review and publish, with every decision on the audit chain.
The rules engine ranks each eligible nurse with a transparent weighting. You can change the order in Settings → Assignment Priority. If the AI is unreachable, this engine builds the roster alone.
Before a nurse is placed on any shift, 9 safety checks run automatically. If one fails, the shift is refused and the reason is recorded.
Ethan's DHA licence expired. The assignment is refused and an audit row records why.
Real screens from the shipped application. Every view works on the same data, so a change in one place is reflected everywhere.
The view head nurses already print, generated by AI and checked by the rules engine. Hours total per nurse and on-duty counts per day.
Board, Daily Grid, Weekly and Excel views over one dataset. Code Blue tags, split duty and holidays are first-class.
Area and bed allocation, role, function, break and reliever per nurse, with Callout, Swap and Overtime one click away.
First and second on-call for day and night, HCAs and visual triage, and the head nurse sign-off that locks the sheet.
Five steps per ward: identity, capacity, shifts and ratios, acuity and policy, certifications. Nurses needed is calculated live from census.
Today, tomorrow and the day after: census, acuity, admits and discharges against assigned nurses, with every gap flagged.
Act now, Needs attention today and Heads-up across hours, shortage, credential, leave and compliance alerts, each with a real lifecycle.
Every nurse's hours this week against the 48-hour cap and overtime this month against budget, with the warning marker at 90%.
Fill rate, overtime rate, active nurses, alerts, float pool and units at risk, with real trends rather than decoration.
Each is staffed from what really drives its demand.
Each report answers one simple question about your nurses and wards. Pick a question below to see the real report.
Real screens from the product. Click any report to see it full size.
Verified against the shipped application. Pick a module to see what your team can do with it.
The scheduling workspace. Four views over one dataset, with AI-assisted fill.
Where the hospital's establishment is defined: the wards, what they run, and what they require.
A profile workspace per nurse, with six tabs: Personal, Competencies, Certifications, Skills, Schedule and Leave.
Shows what is missing, not just what is held. A row is created for every credential a ward requires and a nurse does not have.
Calendar, Coverage, Requests, Balances and Insights, with live policy checks as dates are chosen.
The live view of every ward and a triage screen with real lifecycle.
Hours worked past a rostered shift end, from claim to locked payroll line.
Two care settings that are not ratio-driven, each staffed from its real source of demand.
The controls IT, HR and the regulator will ask about.
Same department, same people. Far less done by hand.
NurseRoster AI is shaped around your existing nursing operation: the same shift patterns, unit structure and chain of command. The workflow meets your current process. You don't change how you operate.
Configured exactly as your wards use them.
Same format your teams sign today.
Two named approvers for leave and overtime.
Start with CSV. HIS connector when ready.
Including the AI.
Azure AI Foundry, region checked on every request.
No names or IDs reach the model.
Field-level encryption on personal data.
Per-nurse AI consent recorded.
Every action linked by SHA-256. Walk a regulator through it.
We set it up with your wards and nurses. You run it live for 30 days.