Azure AI Production Support — Fix Live Foundry, Azure OpenAI & Azure ML Issues Fast

Azure OpenAI 429 RateLimitExceeded and quota exhaustion, content-filter blocks, DeploymentNotFound and model/region availability, Managed Identity and Entra ID auth failures, Private Endpoint connectivity, latency and timeout spikes, Foundry agent tool/MCP/A2A failures and missing traces, Azure AI Search indexer and skillset failures, vector-dimension mismatch and poor RAG retrieval, semantic ranker issues, Azure ML endpoint deployment and container-health failures, GPU OOM, autoscaling, MLflow tracking issues, and pipeline failures. We work the incident live until the system is stable.

Usually within the same working session. Message us on WhatsApp with the symptoms, the service, and the request ID or error code, and we assign an engineer who has handled that class of incident before. For active outages we prioritize immediate response.

Yes. RAG on Azure is a core focus — indexer and skillset failures, integrated-vectorization and embedding issues, vector-dimension mismatch after a model change, hybrid-query and semantic-ranker tuning, agentic retrieval and Knowledge Agent/Knowledge Source configuration, and answers that are wrong or hallucinated. We diagnose and fix answer-quality and reliability issues end to end.

Yes. Cost blowups are a common trigger. We help right-size deployments (Global Standard vs Data Zone vs provisioned throughput/PTU), tune token usage and prompt design, add Model Router where it lowers cost without hurting quality, fix runaway retries, and right-size Azure ML compute and endpoints so the bill comes back under control without breaking the workload.

Absolutely. Every engagement is confidential, NDAs are available on request, and we never access your Azure subscription without your explicit direction. We document the root cause and fix so your team can prevent a repeat.