New Metrics

We explored six shifts we believe will define GCC consulting by 2030 from AI-enabled delivery and ESG maturity to localization, commercial models, and the growing importance of ex*****on capability.

Reach out to learn more.

The GCC health systems seeing real returns on AI got specific before they got started.

Five areas where that specificity is paying off:

→ Patients managing their entire care journey from a phone — booking, records, follow-ups — without touching a waiting room line
→ Clinical staff no longer fielding the first line of routine queries, with 24/7 coverage that doesn’t stretch headcount
→ Treatment plans built around the individual patient, with predictive flags that surface complications before they escalate
→ Diagnostic accuracy that holds regardless of who’s reading the scan or running the labs
→ Admissions and discharge flows that stop losing hours to admin bottlenecks

All of this is running across health systems in Saudi Arabia and the UAE today driven by leadership teams who defined the problem clearly before choosing the solution.

Connect to learn more.

Our Managing Partner, Mohamad El Hinnawi, explores how innovation labs are evolving into critical mechanisms that bridge the gap between public ambition and private sector ex*****on.

From Saudi Arabia’s scale-driven transformation under Saudi Vision 2030, to the UAE’s agile, ecosystem-led model, and Qatar’s targeted, research-driven approach, the region is not lacking in vision or capital. The real challenge lies in orchestration i.e. aligning stakeholders, testing ideas in real-world environments, and scaling what works.

Innovation labs, when positioned correctly,translate strategy into action, align public and private actors, and accelerate the journey from concept to impact.

Customer experience in banks remains fragmented despite seeing incremental gains from AI advanced analytics and automation. In this article Rami Haffar explores why pilots plateau, what leading banks in the GCC are doing differently, and how to move toward integrated, compliant experience management that delivers measurable business impact.

Most AI conversations still focus on models: accuracy, vendors, and whether to build or buy. Yet organizations using the same models are seeing very different outcomes. Some are scaling AI into real decisions, while others remain stuck in pilots. The difference rarely comes down to the model itself. It comes down to everything around it: how data holds up in production, how outputs connect to workflows, and whether decisions actually change as a result. AI only creates value when it moves through that full chain, from data to action. If that chain is weak, no model will fix it.