Services for institutions & newsrooms
Newsroom AI localization & governance
Decide where AI belongs in your newsroom—and where it does not—with Arabic evaluation, editorial rules and accountable human review.
Who & why
An editorial decision before a technology decision.
For editors, newsroom leaders and product teams already experimenting with AI or being asked to adopt it. Uncoordinated use can leave gaps around source protection, factual review, attribution and who is responsible for an output.
We examine a specific task—such as transcription, archive search or assisted summarisation—alongside your editorial standards. Arabic localization means testing terminology, names, dialect and context, not simply translating an interface. The outcome can include a decision not to automate a task.
A bounded task
Which editorial decision? Which permitted data?
Arabic evaluation
Names, context, terminology and failure cases.
Human review
Acceptance criteria and an accountable decision-maker.
Controlled use
Policy, disclosure and reassessment when things change.
A policy is not a guarantee that a model is accurate or unbiased. This work supports editorial and operational decisions; it is not legal advice or a compliance certification.
Deliverables
Proposed deliverables, agreed before work begins.
Adapt AI to Arabic and editorial workflows with use-case assessment, clear policies, accuracy and bias evaluation, and human oversight.
A use-case and risk assessment
An inventory of proposed tasks, data sensitivity, likely failure modes and a prioritised recommendation to pilot, restrict or avoid each use.
An Arabic evaluation pack
Representative, permissioned examples, a review rubric and documented checks for factual accuracy, names, context, bias and unsupported claims.
An operational AI policy
Rules for permitted use, protected information, disclosure, attribution, human sign-off and escalation, adapted to your editorial structure.
A pilot and team handover
A bounded trial plan, review responsibilities and practical guidance or a team session, with acceptance criteria agreed before testing.
How we work
A clear question. A reviewable handover.
Map current practice
Discuss existing tools, informal uses, editorial standards and sensitive material with editorial and technical stakeholders.
Choose a bounded task
Define the intended benefit, unacceptable errors and a baseline against which a pilot can be reviewed.
Test Arabic in context
Run agreed examples through the proposed workflow, record failures and review differences between tools or configurations where in scope.
Put responsibility into practice
Translate findings into policy, approval gates and a review plan for changes in models, data or newsroom use.
What you supply
What helps us scope a useful project?
- Your editorial standards, any existing AI guidance and the tasks under consideration.
- A list of tools and providers currently used, including relevant data-retention settings.
- Permissioned examples reflecting your Arabic coverage, terminology and expected outputs.
- An editorial decision-maker, technical contact and information about security or procurement requirements.
FAQs
Before we start a conversation.
Do we need to choose an AI provider first?
No. The work can begin with the newsroom task and its risks. If tool comparison is useful, the proposal will specify which tools can be accessed and what a meaningful comparison can establish.
Will you train a new Arabic model?
Not by default. Localization may involve terminology, instructions, workflow changes and evaluation. Fine-tuning or model development would require a separate feasibility discussion, suitable data and an explicit scope.
Can confidential source material be used in testing?
Do not send protected source material in an initial inquiry. We agree data classification, permissions and provider restrictions before using any sensitive examples; redacted or synthetic test material may be more appropriate.
Who decides whether AI output is publishable?
Your newsroom retains editorial responsibility. The proposed policy identifies the human reviewer and approval requirements; model output is not treated as an independently verified source.
Let’s define a workable scope
Start with one editorial task.
Describe what your team is trying, the Arabic-language challenge and the errors you cannot accept. Do not include confidential source material in the inquiry.