Aras Sheikhi

Head of AI-Enabled Decision Intelligence

Aras Sheikhi (PhD in Electronics) leads QoreX’s AI-Enabled Decision Intelligence capability, focusing on deploying practical AI systems that improve executive decision-making, automate complex analytical work, and strengthen operational control. His experience spans enterprise environments in the United States, alongside academic and innovation exposure through the University of Southern California (USC), with a consistent emphasis on scalable, governed AI adoption rather than experimental deployments.

At QoreX, he focuses on embedding AI directly into business workflows so organisations move from fragmented data and reactive reporting toward predictive insight, operational clarity, and more confident execution.

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Core AI Services

AI Decision Intelligence Platforms
Design of executive decision platforms combining predictive analytics, scenario modelling, and real-time performance dashboards. These systems replace static reports with forward-looking insights that support faster, evidence-based decisions.
AI Agents & Autonomous Workflows
Development of enterprise AI agents that automate research, reporting, document review, operational monitoring, and structured decision support within governed business processes.
Data Readiness & AI Integration
Preparing organisational data environments for AI adoption by improving data structure, accessibility, and integration with enterprise systems to ensure reliable, actionable AI outputs.
Operational Automation
Automation of analytical and knowledge-intensive workflows such as reporting cycles, data synthesis, performance tracking, and operational analysis to reduce manual effort and improve consistency.
AI Governance & Risk Management
Design of governance frameworks covering transparency, auditability, human oversight, regulatory alignment, and responsible AI use within enterprise environments.
AI Adoption & Change Enablement
Supporting organisations in safely adopting AI through operating model design, capability uplift, leadership alignment, and structured implementation roadmaps.
AI Copilots & Internal Assistants
Deployment of enterprise AI assistants that support decision-making, knowledge retrieval, internal coordination, and productivity improvement across business functions.
Commercial AI Enablement
Embedding AI into performance management, operational planning, and growth strategy to improve execution speed, decision confidence, and commercial outcomes.

Client Impact

Faster, more confident decision-making, reduced manual analytical workload, improved operational visibility, and AI systems designed to support real execution rather than isolated experimentation.