Agentic AI consulting in Saudi Arabia

Yes. For a Saudi government programme aligned with Vision 2030, delivered with a local IT partner, we built the agentic layer behind an Arabic conversational agent that lets staff query incident data, statistics and geographic KPIs across 13 Amanas. Three agents work behind it, and the case study describes how.

We rank your workflows by value, map the one worth automating first and redesign it for agents. A Proof of Value on your data, your systems and your edge cases ends with a go or no-go decision backed by measured accuracy and running costs. If it is a go, we build the agents and hand over the code, the data and the decision logic, with a model you can swap.

Yes, and our Arabic-language deployments do. The ARIJ agent answers journalists in English and Arabic from ARIJ's own knowledge base, and the agent for the Saudi public-sector programme takes questions in Arabic. Arabic retrieval still has to be tested on your documents: spelling variants, mixed-language files and scanned pages all change what search finds, so we measure it before launch rather than assume it.

We design it to run where your data already lives, in your cloud account or the environment your security team approves, and open-weight models are an option when documents may not leave it. Access rules are checked before an agent reads a document, so a user only gets answers from files they may open. Tell us your hosting and data-protection constraints in the first session; they shape the architecture from day one.

By testing against your own cases before launch, not against a generic benchmark. We check whether the right information was retrieved, whether the answer stays inside it and whether actions end in the right state, and we re-run the same tests after every change to documents, prompts or models. The results go into the evidence you keep after handover.

That is most of the work. Agents call your CRM, ERP, document stores and internal APIs through tools with the least access they need, and every action is logged. We agree the access model with your IT and security teams before the build starts.

We are engineers who build and run agents, with 30+ production deployments behind us and a team of 25+ AI engineers. Vstorm was the first agentic AI engineering company in the Agentic AI Foundation, and our engineers contribute to the frameworks the agents run on. You get a working system and the means to run it without us, not a strategy document.