Read
Every document, both languages
Drop in PDFs, scans and photos. Mawafiq extracts diagnoses, ICD-10 codes, dates, imaging findings and policy details, whether the note is in Arabic or English.
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You treat the patient.
You treat the patient.
We get the pre‑approval right.
Mawafiq reads every document in a pre-approval packet, in Arabic and English. It checks the packet against the insurer’s own rules and drafts a cited pack your insurance desk can submit with confidence. The first time.
! Missing: prior physio notes
3 ICD-10 · M23.2 cited from the Arabic note
Arabic + English documents
Every fact cited to its source
A person signs off before submission
The problem
Pre-approval is complex by design. Hospitals absorb the cost.
A typical packet mixes an Arabic doctor’s note, English lab results, imaging and an insurance card. Each insurer has its own checklist for each kind of request. If one page is missing, the request comes back, and the patient waits while the desk resubmits.
94%
of physicians say prior authorization delays access to necessary care
43
prior authorizations completed per physician, every week
12h
of physician and staff time each week, per physician
Source: AMA 2024 Prior Authorization Physician Survey (United States, 1,000 physicians).
The platform
From a pile of papers to a pack that holds up
Mawafiq supports the people who chase approvals: insurance coordinators, case managers and the doctors who answer their questions. Each step handles one part of the work, and together they turn a packet into a submission-ready pack.
Bilingual extractionInsurer rule checksGap detectionCited justificationPDF pack export
Check
Against the insurer’s own rules
Each request type is checked against the insurer’s evidence requirements. It also catches mismatches: the wrong patient, an expired card, another insurer’s member ID.
Cite
A justification you can verify
The draft justification links every claim to the exact line it came from. Click a number to jump to the highlighted span in the source document.
Submit
After a person approves it
Your coordinator reviews, edits and approves. Then export one PDF pack with the cited justification and the supporting documents attached.
See it work
One case, start to finish
3
documents, in two languages
3
gaps caught before submission
10
facts cited to their source line
A physiotherapy request for Rashid, 42
His packet had an Arabic orthopaedic note, an English lab panel and an insurance card. The insurer also asks for six weeks of prior physiotherapy notes, a baseline outcome score and a home-exercise note. None were attached, and the Arabic note even says so. Mawafiq scored the pack 64%, listed exactly what was missing and cited everything else.
Rashid Al-Hajri is a fictional demo patient. All demo data is synthetic.
«لم يرفق حتى تاريخه سجل جلسات العلاج الطبيعي السابقة»
“Records of previous physiotherapy sessions have not been attached to date.”
How we build
Made for the people who chase approvals
Mawafiq (موافِق) means “approving”. It is built for Qatar’s private-hospital insurance desks, where packets arrive in two languages and each insurer has its own rules.
Cited, never guessed
A fact without a source line doesn’t go in the pack. Coordinators can check any claim in one click before an insurer ever sees it.
Bilingual by default
Arabic notes are read as Arabic, not as an afterthought. Names are matched across scripts, so راشد الهاجري and Rashid Al-Hajri are the same patient.
A person signs off
Mawafiq prepares, checks and drafts. A coordinator approves. Nothing goes to an insurer without a person’s say-so.
Demo rule sets modelled on the request types handled by
- Al Koot
- QLM
- Nextcare
- GlobeMed
- QIC
Illustrative rules for demonstration. Not affiliated with, or endorsed by, these insurers.
The approach
Not every tool works the same way
Building a pack is easy. Building one an insurer accepts means knowing the insurer’s rules, reading both languages and being able to show where every claim came from.
| Criteria | Manual desk work | Generic AI chat |  Mawafiq |
|---|---|---|---|
| Arabic + English packets | Read by hand, page by page | Hit and miss, no structure | Extracted into one record |
| Insurer requirements | Memorised or kept on printed checklists | Doesn’t know them | Checked per insurer and request type |
| Where a fact came from | Back to the paper | Can’t say, and may invent it | Linked to the exact source line |
| Missing documents | Found when the insurer rejects | Rarely noticed | Flagged before submission |
| Output | A letter written from scratch | A chat transcript | A cited PDF pack with attachments |
See what your desk would catch before the insurer does
Bring a few anonymised packets. We’ll run them through Mawafiq with you in 30 minutes.