AI and Data Management

Turn your data into decisions. Turn decisions into results.

SOLGulf has delivered more than 15 data and analytics engagements across six platform partnerships. We work across Microsoft, Google and IBM ecosystems and we build the data foundations, governance structures and AI applications that take organisations from scattered data to production outcomes.

BI and data engagements
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Platform partnerships
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Certified consultants
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Azure AI and Microsoft Fabric Fast Track

AI built on a foundation that's ready for the next ten.
A structured program that takes your organization from fragmented data to a working AI application on Microsoft Fabric and Azure AI.
Overview
This program runs two workstreams in parallel: building a proper data foundation on Microsoft Fabric and building your first production AI use case on Azure AI. Running both together means you see real business value quickly, while also building the platform that makes the next AI use case faster and easier.
Saudi Arabia has declared 2026 the Year of AI, with clear expectations for production outcomes. Organizations that act now, with their data already on Microsoft platforms, are best placed to move quickly and visibly.
  • Your first production AI use case on Azure AI, scoped for measurable business value
  • Data platform built on Microsoft Fabric: pipelines, data quality and integration
  • AI Center of Excellence design, so future use cases can be delivered faster
  • Knowledge transfer to your internal teams throughout
SOLGulf is delivering this exact program for a power company, where the parallel data and AI workstreams have already produced a 40 to 60 percent reduction in data preparation time and a 20 to 25 percent improvement in asset uptime, with the engagement still active and expanding.

Agentic AI Delivery

AI that gets things done.
Design and delivery of autonomous AI systems that can plan and execute multi-step tasks, built on Azure AI and Google Vertex AI.
Overview
Agentic AI goes beyond chatbots and single-step AI features. These are AI systems designed to handle multi-step processes autonomously, from gathering information across systems to taking actions and reporting back, with human oversight built in at the right points.
As organizations move from individual AI experiments to a clear AI strategy, agentic AI represents the next step: AI that takes on real operational work rather than just providing information. Saudi Arabia’s Year of AI focus on production outcomes makes this the right moment for organizations with a clear use case in mind to move from concept to working system.
  • Use case identification and design for agentic AI applications
  • Build and deployment on Azure AI or Google Vertex AI
  • Proof of concept to validate the approach before full build
  • A roadmap for scaling from the first agentic use case to a wider program
SOLGulf is delivering an agentic AI strategy, proof of concept and commercialization roadmap for the a government organization’s Innovation Lab, part of a program that has already recorded an 85 percent improvement in organizational adaptability.

Google Cloud AI and BigQuery Fast Track

AI that gets things done. One unified data view.
A structured program that unifies your data on Google BigQuery and builds analytics and AI applications on top, including Customer 360 views and predictive models.
Overview
This program brings together data that is currently spread across multiple systems into a single platform on Google BigQuery, then builds the analytics dashboards and machine learning models that turn that unified data into day-to-day decisions, such as customer insights, churn prediction and automated reporting.
Organizations already invested in Google Cloud are well placed to move quickly here. Bringing fragmented data together into one platform is often the single biggest unlock for an organization’s analytics and AI ambitions, and it pays for itself through the operational improvements that follow, from better customer retention to faster reporting.
  • Migration of your data estate to Google BigQuery
  • Unified analytics dashboards in Looker, including real-time KPI tracking
  • Machine learning models for use cases such as churn prediction
  • Automated reporting and workflow integration
SOLGulf delivered this program for a leading Middle East telecoms provider, moving their fragmented data estate to BigQuery, building a unified Customer 360 dashboard in Looker, and deploying churn prediction models that halved churn rates for the business.

IBM Watsonx AI Delivery

AI that fits naturally

AI assistants and machine learning governance for organizations with an existing IBM investment, built on IBM Watsonx and Watson Assistant.

Overview
For organizations already running IBM infrastructure, this offering delivers AI capabilities that integrate naturally with what you have, from AI-powered customer service assistants built on Watson Assistant to machine learning governance on Watsonx, all operated on Red Hat OpenShift.
Organizations with an established IBM footprint can move faster here than with a new platform, because the integration work is simpler and the team is often already familiar with the underlying infrastructure. This is a practical route to visible AI outcomes, such as automated customer service, without introducing a new technology stack.
  • AI assistant design and deployment on IBM Watson Assistant
  • Machine learning model governance on IBM Watsonx
  • Container platform operations on Red Hat OpenShift
  • Ongoing AI and ML managed services
SOLGulf designed and deployed an AI assistant for Electric Company, tailored to their customer care processes and built on IBM Watson, and continues to provide ongoing operations for the underlying platform.

Platforms and Technology

Microsoft Fabric and Azure AI Enterprise data platform and AI application delivery
Google BigQuery and Vertex AI Unified analytics, data warehouse, machine learning
Google Looker Business intelligence and reporting
IBM Watsonx AI governance and machine learning for IBM environments
IBM Watson Assistant AI-powered conversational assistants
Red Hat OpenShift Container operations for AI and data workloads
Apache Kafka Real-time data streaming

Client Stories

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Ready to move from scattered data to production AI?

The foundation comes first. Let us show you what that looks like for your organization.