Blueprint and governance
The use cases, deployment type and region, grounding sources, content filter settings and logging policy are agreed with the business owner, the data protection officer and cloud security before build.
Platform implementation
Azure OpenAI Service
We take Azure OpenAI into production inside your Azure tenant, with private networking, answers grounded in approved data and content filters set for each use case.
Much of the work is choosing the deployment type and wiring the model to your data safely. Global deployments may process prompts in any Azure region, while regional deployments keep processing in the region you pick, so we confirm the models you need are offered there before design, in light of the UAE and Saudi personal data protection laws and sector rules from regulators such as CBUAE and SAMA. The GPT models handle Arabic prompts and documents, which opens Arabic drafting, summarisation and search to internal teams.
We build with prompt flow for orchestration and evaluation, private endpoints and managed identities so no keys sit in code, and Azure API Management in front of each deployment to apply quotas and log usage per application. Content filtering through Azure AI Content Safety is configured per deployment, and retrieval-augmented generation draws only on indexes the user is entitled to see.
Microsoft, Azure OpenAI Service, and related marks are trademarks of the Microsoft group of companies.
How we implement Azure OpenAI Service
Design, build, integration and run-state support, with each decision recorded for your steering committee.
Quota and throughput planning
Tokens-per-minute quota or provisioned throughput sized from expected use, with fallbacks when limits are reached.
Arabic retrieval in Azure AI Search
Chunking, Arabic language analysers and hybrid vector search tested on your own documents, with every answer cited to its source.
Internal assistants
Assistants in Teams or your intranet built on the same deployment, with sign-in through Entra ID and answers limited to each user's permissions.
Hypercare and managed support
Azure OpenAI model versions carry retirement dates, so we plan moves to newer versions, rerun evaluation sets before switching, and watch token spend, throttling, filter hits and answer quality.
When Azure OpenAI is the natural route
Azure OpenAI fits organisations already on Azure and Microsoft 365 that want OpenAI models under their existing enterprise agreement, identity and network controls.
- An Azure landing zone with private networking
- Approved data sources with a known classification
- A use case owner and an evaluation set of real questions
- Models and deployment type confirmed for the region you need
Plan Azure OpenAI Service with Hosn Al Tomoh
Tell us what the platform needs to do and when. We will propose a first phase with scope, team and an itemised quotation.