Enterprise AI Transformation for a Dubai-based Bank

Institutionalising AI as a strategic enterprise capability

5 min read

Client

Dubai Islamic Bank – The world’s first full-service Islamic bank and one of the UAE’s leading financial institutions, driving digital innovation across retail, corporate and Islamic finance services.

The challenge

Dubai Islamic Bank had built strong momentum in artificial intelligence. More than 275 AI use cases had emerged across business and risk functions, with over 90 models already in production.

However, scaling AI across a highly regulated banking environment required moving beyond innovation toward enterprise-wide structure and discipline.

Key challenges included:

AI initiatives operating across functions without unified prioritisation
Fragmented data architecture limiting reuse and interoperability
Infrastructure not fully optimised for enterprise-scale AI deployment
Manual governance workflows extending model approval cycles
Lack of standardised model lifecycle and monitoring processes
Limited enterprise visibility into portfolio-level AI value

To scale effectively, the bank needed a structured enterprise AI framework that aligned strategy, governance, technology and talent.

The solution

HCLTech brought a structured, enterprise-wide approach to help Dubai Islamic Bank scale AI with discipline and clarity. We partnered with Dubai Islamic Bank to institutionalise AI as an enterprise capability by designing a structured framework spanning strategy, governance, technology and organisational enablement.

The engagement began with defining a value-led enterprise AI strategy. This consolidated and prioritised more than 275 use cases into a structured portfolio aligned with business priorities and regulatory expectations. This provided a clear roadmap for scaling AI across the bank.

To support disciplined execution, HCLTech established a formal AI operating model with defined decision rights, governance forums and lifecycle checkpoints across business, risk, IT and data functions, ensuring transparency, accountability and regulatory alignment.

In parallel, HCLTech defined a scalable AI platform architecture, enabling production-grade deployment through MLOps capabilities, model monitoring and integration standards designed for secure enterprise deployment.

Together, these foundations positioned AI as a structured, scalable capability, enabling Dubai Islamic Bank to accelerate innovation while maintaining strong governance and operational control.

The impact

This approach established AI as a disciplined enterprise capability grounded in clarity, governance and scalable value creation.

AI portfolio visibility

275+ enterprise AI use cases consolidated into a structured opportunity portfolio

Enterprise engagement

82+ leaders across business, risk, IT and data aligned on AI strategy and ownership

AI maturity baseline

20-dimension AI maturity framework established to guide transformation sequencing , enabling clearer prioritisation and investment planning.

Governance institutionalisation

1 inventory of AI systems to control a standard lifecycle of from idea to production with clear decision rights across business, technology and risk, and continuous telemetry once models are live.

Delivery depth

1,240+ onsite hours of strategic and architectural engagement with executive and domain teams, delivered as part of an overall program totaling approximately 5,000+ billable hours of dedicated expertise

Global expertise mobilised