The most expensive people in a hospital spend a third of their day on paperwork. We take the claims, the coding, the referrals and the correspondence off their desks and into systems that keep patient data in-country, with a clinician approving anything that touches care.
Every encounter becomes a claim that must be coded, checked against the payer's rules and submitted through the regulator's platform, then defended when it is rejected. Coders work from clinical notes written for other clinicians, rejections come back weeks later, and the cash gap widens.
A referral is issued, faxed or emailed, and depends on someone at the receiving end noticing it. Appointments are booked by phone, confirmed by hand and missed at rates every operator knows and few can move. Each gap is a patient who waited longer than they needed to.
Documentation, prior authorisation requests, discharge summaries and correspondence with payers fall to the people whose time is most expensive and least replaceable. The clinical system captures everything and gives little back.
Health information is the most tightly held data in the region, and most AI tooling assumes it can be sent to a model somewhere else. Operators are left with capable tools they cannot lawfully use, and staff who find their own workarounds on personal devices.
Each scenario maps to an engagement pattern we ship with the ninety-day method. Agents work the cases; your people approve at the gates that matter.
Clinical documentation is read as it is completed, codes are proposed with the supporting text highlighted, payer rules are checked before submission, and rejections are matched to their cause and answered from the record. Coders approve rather than transcribe.
How the pattern worksA referral opens a case that follows the patient: the receiving clinic is notified through its own system, the appointment is offered and confirmed in the patient's language, reminders adapt to response, and a missed slot is re-offered the same day. Staff handle the conversations that need a person.
How the pattern worksClinical and administrative staff ask how a protocol, a payer rule or an internal policy applies and get an answer that cites the source, filtered by role. The same layer drafts prior authorisation requests for a clinician to review.
How the pattern worksHealth data in the UAE has the strictest residency rule of any sector: federal law on the use of ICT in health requires patient information to be stored and processed inside the country except in narrowly defined cases, and the Department of Health in Abu Dhabi and the Dubai Health Authority each add their own standards and platforms for records and claims exchange. Saudi Arabia's health data governance and the national claims platform impose parallel obligations. Every system we build for healthcare runs on in-country infrastructure, with models inside the boundary and no inference call that leaves it.
Clinical safety changes what automation is allowed to do. Our patterns propose codes, drafts and schedules; licensed staff approve anything that touches a diagnosis, a treatment or a payer submission, and the record shows who approved what and on which evidence. That is a design principle, not a configuration option.
Patients communicate in Arabic, English and often a third language. Appointment, referral and correspondence flows work natively in Arabic and English, and the audit trail is legible in both for the regulator and the patient. Consent and access rules from the licensing authority are enforced in the system, not in a policy document beside it.
We have not yet published a healthcare case study. The nearest honest evidence from the delivery record: a workforce platform with thermal health screening and automated medical intervention workflows for 70,000 people, a compliant insurance IT estate with AML infrastructure, and payroll that satisfies a regulator every month. All are pre-AI work in regulated, safety-sensitive settings.
A facial-recognition workforce platform with sub-half-second recognition, built during the pandemic to make attendance and access contactless for 70,000+ Emirates Group employees.
The complete technology estate for Burns & Wilcox's new Dubai insurance office: infrastructure, security and operations from a standing start, delivered ahead of schedule.
A six-month Zoho People and Payroll implementation with a custom WPS engine and HSBC banking integration for Hugo Boss's UAE operations.
One of our engineers sits inside your organisation from the diagnostic through to go-live, with an engagement lead, integration engineering and design behind them. In a hospital or a payer that means time with the coders, the referral coordinators and the clinicians, learning where the day actually goes, before anything is built around their work. Read about the embedded model.
The two-week diagnostic maps where intelligence compounds in your sector's processes, inside your regulator's rules, and leaves you with a plan worth keeping, whoever you choose to build with.
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