A newly formed telecommunications and technology alliance in Oman has launched an initiative aimed at accelerating the adoption of secure, locally managed artificial intelligence (AI) solutions within the country’s enterprise sector. The announcement was made on Monday during a cloud computing forum held at the JW Marriott Muscat, which drew over 100 regional business executives to discuss challenges related to implementing AI in compliance with strict regional data sovereignty regulations.

The event was jointly organised by Ooredoo Business and Google Cloud and comes amid growing regulatory demands across the Gulf Cooperation Council (GCC) for domestic data isolation. These regulations prohibit the cross-border transfer of sensitive information, posing significant barriers for Omani and regional firms seeking to integrate generative AI tools developed for consumer use.

Diaa Eldin Ali, Senior Data and AI Customer Engineer at Google Cloud, highlighted the importance of secure computational infrastructure alongside advanced AI models. Ali outlined a multi-layered framework based on the Gemini enterprise ecosystem, which separates lighter models intended for rapid processing from more complex systems designed to handle deep analytics on institutional datasets. This approach aims to address latency and processing challenges faced by organisations handling large-scale data analyses, such as multi-megabyte documents or multimodal data embeddings.

Central to the initiative is the introduction of an enterprise-grade “landing zone” within a cloud environment. This infrastructure ensures that corporate data remains isolated and is not used in public AI model training, a critical requirement under Oman’s data residency and security laws. The framework incorporates end-to-end encryption protocols and native enforcement of corporate security policies, limiting access to sensitive information such as human resources and payroll records.

The forum also showcased advancements in AI functionality, moving beyond simple query-response systems to autonomous agents capable of executing sophisticated business workflows. To reduce the risk of inaccurate output—commonly referred to as “hallucinations”—the architecture uses retrieval-augmented generation (RAG) constrained by live data connectors. This method enables real-time querying of existing enterprise resource planning (ERP) platforms like SAP, Oracle, and Salesforce without duplicating large datasets.

Ooredoo, serving as the local infrastructure host and network coordinator, plays a pivotal role in linking Google Cloud’s AI capabilities with Oman’s regulatory framework. The partnership aims to provide a compliant pathway for enterprises to deploy automated systems while adhering to regional data sovereignty requirements.

Speakers at the forum acknowledged ongoing concerns about AI’s potential impact on employment but emphasised that initial applications are expected to focus on augmenting workforce productivity rather than job displacement. Industry analysts noted that early measures of return on investment will likely centre on improvements in operational efficiency, such as reduced document retrieval times and streamlined supply chain processes, rather than immediate reductions in labour costs.