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announced a strategic investment and partnership with Arabic.ai.

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Healthcare

Support the people behind the care.

Arabic AI for administrative documents, multilingual communication and staff knowledge.

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Surgeons in an operating theatre
A microscope over a slide

Clear administration supports the organization around care.

Staff need useful guidance, communications need consistent meaning and documents need review. Start with this administrative work, kept apart from clinical judgment.

  • Administrative guidance spread across documents
  • Multilingual communication with many reviewers
  • Repeated preparation across staff functions

Focus intelligence on the administrative workload.

Choose a task to see what goes in, what is prepared, who reviews it and what comes out.

Administrative and support teams

Make approved processes easier to navigate.

Answer administrative questions from a selected guidance set, with the process owner involved when guidance conflicts.

Input
Approved administrative guidance and a staff question.
Assistance
Organizes the relevant passages and drafts an explanation.
Review
The process owner confirms relevance and resolves exceptions.
Output
A reviewed answer or a referral to the responsible team.

Communications and language teams

Coordinate the message across languages.

Prepare visitor and staff information from one approved source, each version tied to its audience and reviewers.

Input
An approved notice, audience requirements and terminology.
Assistance
Drafts each language version for the designated reviewers.
Review
Language and information owners check meaning and suitability.
Output
Reviewed multilingual administrative communication.

Administration and shared services

Give the reviewer a clearer starting point.

Summarize selected administrative documents and draft internal material, with the originals kept at hand.

Input
A bounded set of administrative documents and instructions.
Assistance
Structures a summary and flags questions to clarify.
Review
The document owner checks completeness, meaning and appropriate use.
Output
A working document for administrative review.

People and learning teams

Prepare guidance for the people joining you.

Turn approved onboarding material into explanations for each role, with training owners responsible for the scope.

Input
Approved staff guidance and a role brief.
Assistance
Drafts a structured orientation document with references.
Review
The learning or process owner validates the final material.
Output
Reviewed guidance for a defined staff group.

Prepare a multilingual visitor notice.

The workflow starts from one approved brief, ties terminology to each draft and names the reviewers before delivery.

  1. Approved source

    Administrative visitor guidance.

    Information owner

  2. Language work

    Terminology and translated drafts.

    Language team

  3. Review

    Check meaning and fit for the audience.

    Designated reviewers

  4. Delivery

    The reviewed notice for staff and visitors.

    Communications team

Communications approves the notice. The example concerns administrative information, not clinical advice.

Define the administrative boundary.

Agree what information is appropriate and who approves the output. Arabic.ai itself does not make diagnoses or clinical decisions.

What reviewers check

  • Source fidelity
  • Terminology consistency
  • Audience suitability

  1. Choose appropriate information.

    Start with approved administrative material and avoid unnecessary personal information. Confirm access with its owners.

  2. Review meaning and audience.

    Designated reviewers check that summaries reflect their source and that each language version suits its audience.

  3. Roll out within the agreed scope.

    Support one administrative team and review recurring corrections. A new purpose or kind of information needs a new assessment.

Arabic that clinicians trust.

On HIKMA AI's platform, LLM-X powers Arabic clinical intelligence for Arab hospitals. Blinded, independent panels preferred LLM-X over a leading global LLM on every scored dimension.

Read the HIKMA AI story

98%

clinician satisfaction in Emergency Department scenarios

“For the first time, our clinicians read AI output in Arabic and trusted it.”
Charbel Rizkallah, Founder and CEO, HIKMA AI

What teams use.

The AI workspace

Multilingual notices and staff knowledge.

Explore Atelier

The agentic platform

Approval workflows for administration.

Explore Sadu

LLM-T

Translation where meaning matters.

Explore LLM Models

Make your next ambition operational.

Bring intelligence into your knowledge, people and operations. Talk to our team about the work you want to transform.

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