
Guru L
Senior Vice President, Lending – Product Management.
Islamic banks across the GCC are accelerating their digital transformation, but many still face a critical challenge: AI cannot deliver value unless the underlying financing architecture is Shariah-aligned, transparent, and contract-driven. From Murabaha and Tawarruq to Ijara and Musharaka, every structure depends on precise data, verifiable trade activity, and audit-ready workflows.
This blog outlines the five architectural decisions that determine whether AI becomes a genuine accelerator of Shariah-compliant financing or a liability: API-first ecosystems, microservices for Shariah-structured agility, a dedicated Product Strategy Manager, a unified decisioning layer, and contract-level data foundations.
These principles are the backbone of Azentio’s Islamic Financing platform and explain why AI can now strengthen, rather than compromise, Shariah governance, customer experience, and operational efficiency. Whether you’re modernising Murabaha journeys, improving Ijara asset management, or optimising SME Islamic financing, the right architecture is what makes AI safe, powerful, and truly compliant.
I still remember sitting with a Shariah advisor in Riyadh not too long ago. He looked at a diagram of an Islamic financing journey, paused, and said: “People rush to implement AI. But without the right architecture, you risk automating gaps the Shariah Board hasn’t even approved.”
He was right. Across the GCC, Islamic banks are modernising rapidly, streamlining Murabaha financing, digitising Ijara workflows, strengthening Musharaka structures, and expanding Tawarruq-based offerings for retail and SME segments.
AI now sits at the centre of this momentum. But in Islamic finance, AI cannot be added on top of weak foundations. It needs a system that is transparent, auditable, contract-driven, and fully aligned with Shariah governance.
Over the past year, we rebuilt our Islamic financing platform around five architectural principles. These are not experimental ideas; they are the structural decisions that determine whether AI becomes a genuine enabler of Shariah-compliant financing.
Islamic financing operates with a level of precision that conventional systems do not always require:
AI can strengthen these principles, but only if the platform beneath it is sound.
When the architecture is right, AI supports:
When the architecture is wrong, AI becomes a liability.
Here are the five architectural decisions that allowed us to embed AI meaningfully, and safely, into the Islamic financing lifecycle.
In Islamic finance, data must reflect real underlying transactions, commodity trades, asset purchases, rental schedules, salary information, SME cashflows, business documentation, and banking behaviours.
An API-first architecture enables:
APIs transform Islamic financing from a document-heavy process into a connected ecosystem.
They give AI visibility into:
Without APIs, AI remains disconnected from the real economic activities Islamic finance is meant to support.
Islamic financing products are structurally different, Murabaha requires trade validation, Ijara requires rental schedules and ownership transfer logic, Musharaka requires diminishing equity tracking.
A monolithic system struggles to keep up with this complexity. Microservices allow each component to move independently:
This matters because Islamic finance evolves quickly. Regulators update expectations. Product heads refine structures. Shariah Boards issue new guidance. New financing types are introduced.
Microservices allow banks to adjust without re-architecting the entire platform. And critically, they allow AI models to plug into individual components without disrupting the entire system.
Islamic financing needs a single owner of product behaviour, someone who ensures the system always reflects Shariah intent.
We introduced the role of a Product Strategy Manager precisely for this. This role governs:
Without this role, AI remains an external add-on. With it, AI becomes part of the Shariah-aligned design of the financing system.
This is one of the most important decisions Islamic banks can make.
People often think AI lives inside a model whereas in reality, the intelligence of an Islamic financing system lives in the decisioning layer, the place where data, rules, segmentation, Shariah conditions, documentation requirements, and models come together.
This layer governs:
Your usage-demand metrics reflect this clearly: most AI interest in the region sits in profit-rate optimisation, pre-approved financing journeys, early warning indicators, and personalised customer strategies.
These are decisioning challenges, not modelling challenges.
A strong decisioning layer ensures:
A weak decisioning layer makes AI dangerous.
Islamic financing relies on accurate, contract-level data, asset values, commodity execution timestamps, rental schedules, equity share allocations, and customer behaviours.
A unified data layer:
It is the difference between AI that is compliant and AI that is merely clever. This layer turns Islamic financing into a predictive, responsible, and transparent system.
With the right foundation, AI delivers measurable value across the Islamic financing lifecycle.
AI amplifies Islamic principles when the architecture is strong.
Our Islamic financing system was designed around these principles:
This architecture supports everything from:
It is the foundation that allows AI to operate safely, responsibly, and fully in line with Islamic principles.
Across the GCC, demand for Shariah-compliant financing continues to rise from individuals, entrepreneurs, and corporates alike. Customers expect faster journeys. Regulators expect stronger governance. Shariah Boards expect unwavering compliance. And markets move far faster than they once did.
AI can help Islamic banks meet all these expectations. But only when the foundation beneath it is modern, transparent, and aligned with Shariah from the first click to the last contract.
This is how the next generation of Islamic financing will be built, not by adding more technology, but by strengthening the architecture that governs it.
AI in Islamic financing refers to using machine learning and data-driven decisioning to support Shariah-compliant activities such as Murabaha profit-rate decisions, Ijara rental modelling, customer segmentation, early warning indicators, and documentation checks.
Yes, when used within a contract-based, traceable, and rule-governed system. AI does not replace Shariah rules; it helps banks enforce them consistently by ensuring transparency, auditability, and compliance-by-design.
AI enhances Murabaha by improving customer assessment, detecting inconsistencies in supporting documents, predicting customer affordability, and automating profit-rate recommendations — all while preserving the asset-based structure of the contract.
AI supports Ijara by analysing rental patterns, predicting late-payment risk, automating rental schedule validation, and helping banks manage the asset lifecycle (ownership, maintenance obligations, and transfer conditions).
Yes. With API-first and microservices-based systems, AI can automate verification steps, assess customer stability, and streamline Shariah-compliant documentation, reducing approval times significantly.
By governing AI through a decisioning layer aligned with Shariah rules, regular Shariah Board oversight, transparent logic, and traceable audit paths. AI must follow, not determine, the rules.
Common examples include Murabaha, Commodity Murabaha, Ijara, SME financing, Musharaka-based structures, and Tawarruq particularly in origination, monitoring, and ethical collections.

Guru L
Senior Vice President, Lending – Product Management.