Built for GCC hospitals · CBAHI · NHRA · DHA · MOH

AI Automated Nurse Scheduling
for Hospitals.

NurseRoster AI reads your live bed census, nurse registry and leave calendar — then auto-generates a fully compliant shift roster in under 30 seconds. Your head nurse reviews, overrides what she needs to, and publishes in one click.

See how it works
Saudi Arabia UAE Bahrain Oman
R Week 16 · ICU · Medical · Surgical · ER
Live generating
AI scheduling
0%
✓ Ready to publish
94
Leila A. — ICU Rest 12h · ACLS · CCRN · On target
!
ICU night shift · Sat Gap flagged · 2 qualified candidates available

The Problem Every Nursing Director Faces.

Behind every nurse staffing crisis is a manual process that was never designed for the complexity of modern hospitals.

01 · The Weekly Grind
M
T
W
T
F
S
S

12 hours every week on spreadsheets

Head nurses spend 8–12 hours a week juggling qualifications, leave, labor rules, and fairness — in their heads, on paper grids. Then the week starts and everything changes.

Average 10.4 hrs/week on manual scheduling
02 · The 11pm Call

A single sick call triggers 90 minutes of chaos

One callout at night sets off a chain of WhatsApp messages and phone calls — hunting for someone qualified, rested, under their hours, and willing. The unit stays short the entire time.

Average 47 min to replace a caller
03 · The Silent Risk
ICU Ratio
1:3
Certs
4 exp
Rest
8h
OT Hours
19h

Compliance gaps you can't see until it's too late

Ratio violations go undetected. Certifications expire without anyone noticing. These gaps only surface during accreditation surveys — or worse, after a patient safety incident.

32% of hospitals cite staffing as a survey finding

What Is NurseRoster AI?

NurseRoster AI is an intelligent nurse scheduling system built specifically for hospitals. It reads your live hospital data — bed occupancy, patient acuity, nurse availability, certifications — and automatically generates a fully optimized, fully compliant shift roster.

Your head nurse stops building schedules from scratch. Instead, she reviews an AI-drafted roster, makes the human judgement calls that matter, and publishes in minutes. When sick calls happen, replacements are found in under two minutes. When certifications expire, the system catches it before the assignment is made.

It is the right nurse, on the right shift, every shift — quietly, reliably, every day.

Intelligent rostering

An AI engine scores every nurse on competency, rest, hours, cost, fairness, and preference — then builds the optimal roster in under 30 seconds.

Live hospital signals

Reads bed census, acuity, leave calendar, and nurse registry in real time — via HL7 / FHIR, CSV, or your existing HMS.

Compliance by default

CBAHI, NHRA, DHA, MOH, and JCI rules pre-configured. Ratio, rest, overtime, and certification checks happen before any nurse is placed.

In every nurse's pocket

A mobile-first PWA lets staff nurses view shifts, request leave, swap, and pick up open shifts — no app install, no WhatsApp chains.

How Automated Nurse Scheduling Works.

From raw hospital data to a published roster — in four steps, under three minutes. The system fits into the way nursing leadership already works.

STEP 01 · 0:00

Reads your hospital data

Live bed census, nurse registry, leave, acuity and unit configuration — all in real time.

ADTCensus 87% · 248 beds
HR342 nurses active
ACUAvg 3.2 · ICU 4.1
STEP 02 · 0:06

Calculates staffing needs

Applies ratios, certification requirements, acuity adjustments and minimum floors per unit, per shift.

ICU6 req
MED5 req
SUR4 req
STEP 03 · 0:14

AI generates the roster

Scores every nurse on six factors. Assigns the best match. Flags gaps it can't fill.

Leila A.94
Mariam K.87
Fatimah S.81
STEP 04 · 2:48

Head nurse reviews & publishes

Reviews the draft on a visual shift board. Overrides anything that needs a human touch. Publishes. Nurses are notified instantly.

Draft reviewed · 2 overrides
▶ Publish roster
342 nurses notified

Built around how your hospital already works.

NurseRoster AI is shaped around your existing nursing operation — same shift patterns, same unit structure, same chain of command. You don't change how you operate; we change how much of it you have to do by hand.

6-factor AI scoring

Nurse-to-shift matching that explains itself.

Every candidate is scored 0–100 on competency, hours remaining, rest, cost, fairness and preference. The head nurse sees a ranked list with plain-English reasons — so she can trust the top pick or override it in one tap.

Leila Abdulrahman
94
Mariam Khalil
87
Fatimah Al-Saadi
81
Noura Hassan
72
< 2 min callout response

Sick calls at 11pm, handled before midnight.

Mark the callout. Instantly see qualified replacements ranked by AI score. One tap to assign. One tap to notify. The whole replacement takes under two minutes — not ninety of phone calls.

ICU night · Sara called sick 23:04
AI ranks 4 qualified replacements 23:04
Leila assigned · notification sent 23:05
72-hour look-ahead

See gaps three days before they happen.

The forecast engine projects census trends against scheduled nurses. It flags understaffed shifts days in advance — so you act proactively instead of scrambling on the day.

4 GCC regulators

Compliance baked in, not bolted on.

Enforces ratios, validates certifications before assignment, tracks rest and overtime, limits consecutive days. Pre-configured for CBAHI, NHRA, DHA, MOH — and audit-ready at any moment.

CBAHI NR.6
NHRA Ed.2
DHA 48h
MOH OMSB
PWA — zero install

Nurses manage their own schedules.

Staff nurses view published shifts, request leave, swap with colleagues and pick up open shifts — from any phone browser. No app store. No WhatsApp chain. No midnight calls to the head nurse.

30-sec generation

One-click roster generation.

Select a date range, click generate. The AI builds an optimized 1–2 week schedule across every unit — balancing skills, rest, fairness, overtime and cost. All in under 30 seconds.

28s
Week 16 · all units
1,204 shifts placed · 3 gaps flagged

Before and After NurseRoster AI

Two sides of the same nursing department. One before NurseRoster AI. One after. The process stays familiar — the weight of it disappears.

● Before — Manual scheduling

The week, carried by hand.

Spreadsheets, phone chains, invisible risk.
  • 8–12 hours per week building rosters on spreadsheets
  • Phone calls and WhatsApp at 11pm to find replacements
  • Head nurse carries every rule in her head — no system checks
  • Ratio violations discovered during accreditation surveys
  • Certification expiries noticed after assignment is made
  • Overtime creeps up — no one tracks hours in real time
  • Nurses feel scheduling is unfair — zero visibility
  • No audit trail — “who was on shift?” means paper digs
● After — NurseRoster AI

The week, quietly handled.

Real-time, auditable, calm.
  • Roster auto-generated in 30 seconds — published in under 3 minutes
  • Callout replacements found & assigned in under 2 minutes
  • Every rule enforced automatically — certs, rest, OT, ratios
  • Ratio compliance tracked in real time — always audit-ready
  • 90-60-30-7 day alerts for expiring certs, auto-removed on expiry
  • Overtime tracked per nurse — system warns before thresholds
  • AI distributes shifts fairly — nurses see their hours on their phone
  • Complete audit trail — every assignment, change, callout logged

What quietly changes when AI handles the schedule.

0%+
Shift Fill Rate
Up from ~85% with manual scheduling.
<0min
Callout Replacement
Down from 30–90 minutes of phone calls.
<0%
Overtime Rate
AI-optimized assignment reduces unnecessary OT.
0%
Ratio Compliance Tracking
Every shift, every unit, every day — documented.

One platform. Four regulators. Pre-configured.

Every GCC country has its own framework. NurseRoster AI ships with each one mapped to the scheduling engine — so every assignment is compliant by default, not by luck.

KSA
Saudi Arabia
CBAHI

Central Board for Accreditation of Healthcare Institutions.

Safe Staffing Level ratio enforcement
NR.6 / NR.7 / NR.8 nursing standards
SCFHS qualification verification
Audit-ready survey documentation
UAE
United Arab Emirates
DHA / HAAD

Dubai Health Authority & Health Authority Abu Dhabi.

48-hour weekly max (UAE labor law)
DHA license expiry tracking
BLS / ACLS certification validation
CPD credit monitoring for renewal
BHR
Bahrain
NHRA

National Health Regulatory Authority.

NHRA license verification
Accreditation Standards Ed. 2, 2024
DataFlow credential tracking
Patient safety compliance reporting
OMN
Oman
MOH / OMSB

Ministry of Health & Oman Medical Specialty Board.

OMSB license tracking
Viva examination status
MOH facility staffing standards
Nurse registration verification
Also supports JCI International Accreditation for hospitals pursuing dual accreditation alongside their local framework.

One system. Every role. From charge nurse to chief.

Whether you manage one unit or fifty hospitals across three countries — NurseRoster AI adapts to your scope, your regulations, and your rhythm.

What Chief Nursing Officers usually ask first.

A typical Phase 1 go-live runs 4–6 weeks: one week on unit & rule configuration, one week on nurse-data import (CSV or HR sync), two weeks of parallel-run shadowing your manual process, and a week of live cutover with hands-on support for head nurses.
No. NurseRoster AI sits alongside your HMS. It reads census data via HL7v2 or FHIR where available, or you can start manually on day one and add ADT integration later. Works with TrakCare, Cerner, Epic and others.
Always. The AI produces a draft, not a decree. Every assignment is editable with one tap and every override is logged with the reason — so your audit trail stays intact while humans stay in charge.
Published rosters are cached on every nurse's device as a PWA — they stay visible offline. The head nurse keeps read-only access to the current and next shift at all times, with a printable daily roster as a paper fallback.
In-region data centres (Riyadh, Dubai, Manama) depending on your regulatory framework. We meet CBAHI, NHRA, DHA and MOH data residency requirements, with hospital-level tenant isolation and encryption at rest and in transit.
Through a mobile-first Progressive Web App — no app store, no install. They log in from any phone browser to view shifts, request leave, swap with colleagues, and pick up open shifts. Arabic-language UI is on the Phase-2 roadmap.
Per-bed, per-month, billed annually. Pilot programs run for one nursing unit over 8 weeks at a reduced rate — so you can validate the impact on ICU or Medical before rolling across the facility. Talk to us for a quote tailored to your bed count.
Yes — the scheduling engine is regulation-agnostic. We currently ship pre-configured packs for CBAHI, NHRA, DHA, MOH and JCI. Other frameworks can be configured as part of onboarding.
FREE 1-MONTH PILOT

Run NurseRoster AI on your unit — free for one month.

We set up the platform with your shift patterns, your nurse roster, and your unit configuration. You run it live for 30 days on one nursing unit — no license fee, no commitment. After the pilot you keep the data, the insights, and the choice to roll out further.

30 days, fully free. No license fee. No credit card.
Hands-on setup. Our team configures your unit, rules, and nurse import.
Dedicated onboarding. Your head nurse gets live walk-throughs, not a PDF.
Walk away anytime. No lock-in. Keep your data either way.
Or reach us directly [email protected] Technopark, Trivandrum · Riyadh, Saudi Arabia







    Tweaks live
    Accent color
    Hero variation
    Custom headline
    Use to italicize in accent color.
    Imagery style

    Let's Talk

      ATeam Logo
      Privacy Overview

      This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

      Privacy Preference