AI Transformation Advisor · Corporate Trainer · Business Analytics Specialist · Automation & Digital Transformation Consultant
Founder & Business Advisor — Sahel Al-Refai Business Advisory · شركة سهل الرفاعي التجارية للاستشارات
"Helping organizations turn AI, data, automation, and digital transformation into measurable business performance."


Dr. Madonna Ghanem is an AI and Digital Transformation Advisor, Corporate Trainer, and Data Science & Business Analytics Specialist based in Kuwait. She designs and delivers executive and corporate programs in artificial intelligence, automation, business analytics, data-driven decision-making, digital transformation, leadership, operational excellence, and enterprise productivity.
She combines an academic background in data science and business administration with practical cross-sector experience across banking, insurance, oil and gas, public sector, education, healthcare, wellness, real estate, telecom, and corporate operations. Her work focuses on turning complex AI and analytics concepts into practical tools, dashboards, workflows, automation models, and transformation roadmaps that leaders and teams can apply immediately.
Sahel Al-Refai Business Advisory is the licensed business advisory and training entity through which Dr. Madonna Ghanem delivers corporate programs, executive workshops, AI transformation advisory, business automation consulting, analytics enablement, and digital productivity solutions.
Sector-tailored engagements that connect AI capability to business performance.
A delivered catalogue spanning AI, analytics, cloud, automation, leadership, and executive enablement.
Understand the organization, departments, data, processes, pain points, and readiness.
Build tailored training, use cases, dashboards, workflows, and activities aligned with business goals.
Facilitate practical, engaging, executive-level sessions with hands-on tools and real workplace scenarios.
Translate learning into automation ideas, AI use cases, dashboards, and transformation roadmaps.
Define KPIs, adoption indicators, productivity gains, and continuous improvement actions.
