AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Bank Muamalat Tech Stack and Enterprise Applications

ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Mambu Legacy Mambu Cloud Banking Platform Core Banking ERP Services and Operations n/a 2024 2024
In 2024, Bank Muamalat implemented the Mambu Cloud Banking Platform as the bank's Core Banking foundation as part of a multi year collaboration with Google Cloud and integrated front end technology. The deployment positions Mambu Cloud Banking Platform as the digital core for Islamic financing and deposit products while pairing it with Backbase for customer engagement to deliver digital Islamic banking services across Malaysia. The implementation configures Mambu Cloud Banking Platform to support account and deposit management, Islamic financing lifecycles for personal financing, education financing, and home financing, and API first product provisioning. Automation capabilities are emphasized through enhanced document data capture within the Muamalat Application Platform, allowing underwriting and application workflows to complete up to six times faster, and enabling faster software development cycles for product launches. Architecturally the solution is deployed on Google Cloud infrastructure, leveraging Firestore as a serverless data store and BigQuery and Looker for unified analytics and 360 degree customer profiling. The Mambu Cloud Banking Platform is integrated with Backbase engagement banking and Google Cloud data and AI services, including Vertex AI Search and Conversation for natural language access to institutional data, and Google Marketing Platform for targeted customer analytics. Security controls include customer managed encryption keys and planned deployment of Chronicle Security Operations and Security Command Center Premium, augmented by Mandiant Threat Intelligence for detection and response. Operational scope covers development teams, business analysts, marketers, and frontline staff, with the transformation governed through a cloud first roadmap and regulatory approval from Bank Negara Malaysia to proceed. Governance and compliance are embedded through built in data access controls, encryption, and an operational security stack intended to support explainable generative AI use cases for internal knowledge retrieval and customer engagement. Stated outcomes for the Bank Muamalat implementation include streamlined IT operations, enhanced responsiveness, faster time to market for new products, and significant cost savings and operational efficiency. The integrated deployment of Mambu Cloud Banking Platform, Backbase, and Google Cloud services is positioned to enable personalized, inclusive digital Islamic banking while maintaining financial services security and compliance requirements.
Digital Banking ERP Services and Operations 2024 2024
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Cloud Vertex AI Generative AI Platforms AI Development n/a 2024 2024
In 2024, Bank Muamalat implemented Google Cloud Vertex AI as part of a broader adoption of Google Cloud services in the Generative AI Platforms category. The implementation is positioned within a multi-year cloud program to run the bank's digital core and front-end systems on Google Cloud to deliver personalized, inclusive Islamic banking services across Malaysia. The technical footprint includes enterprise ready generative AI capabilities, with Bank Muamalat adopting Google Cloud Vertex AI features such as Vertex AI Search and Conversation to enable natural language retrieval and conversational exploration over internal data. The program also standardizes on Google Cloud infrastructure components including BigQuery for unified analytics, Looker for business-facing data views, Firestore as a serverless database to reduce data loss risk, and Chronicle Security Operations and Security Command Center Premium for centralized security telemetry. Integrations are explicit and central to the deployment, with the bank integrating Mambu's digital core banking platform and Backbase's engagement banking platform on Google Cloud to power the Muamalat Application Platform that handles personal financing, education financing, home financing, and related customer journeys. Operational coverage spans developers, non-technical business analysts, marketers, customer-facing staff, and security operations teams, enabling faster software development cycles and more efficient customer application workflows. Governance and controls are embedded at the platform level, using built in data access controls and customer managed encryption keys to align with financial services compliance expectations, and incorporating Mandiant Threat Intelligence into Google Cloud security tooling for enhanced detection and response. The deployment also emphasizes explainability for gen AI outputs by surfacing footnotes and links to supporting data sources, and it follows regulator engagement, including approval from Bank Negara Malaysia for the initiative. Outcomes stated by the bank include accelerated application processing, with the enhanced Muamalat Application Platform enabling customers to complete financing applications up to six times faster, along with projected cost savings and streamlined IT operations. Additional stated benefits include improved threat detection and prevention of unintended data loss through the combined use of Firestore and Google Cloud security services, supporting the bank's goal of delivering faster, more personalized Islamic banking services.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Looker Analytics and BI Analytics and BI n/a 2024 2024
In 2024, Bank Muamalat deployed Google Looker as a central component of its Analytics and BI capability on Google Cloud, aligning business intelligence with a cloud-based operating model. Google Looker is being used to consolidate first-party data into unified, 360-degree customer profiles that non-technical business analysts and marketers can access for targeted product and marketing design. The implementation configured Google Looker to model enterprise datasets hosted in Google BigQuery, deliver reusable dashboards and governed self-service analytics, and provide a single semantic layer for customer, product, and campaign reporting. Looker was provisioned to support reporting for marketing automation, customer segmentation, and product analytics workflows, enabling analysts to generate insights without heavy engineering involvement. Looker integrates with Google BigQuery and Google Marketing Platform to ingest and operationalize application and marketing data, and it sits alongside Vertex AI Search and Conversation as the analytics and BI front end for responsible generative AI use cases. The broader platform architecture includes Mambu as the digital core banking platform and Backbase for engagement banking, Firestore for serverless operational data persistence, and Google Chronicle Security Operations and Security Command Center Premium augmented by Mandiant Threat Intelligence for detection and response, all feeding governed datasets into BigQuery and Looker. Governance for the Google Looker deployment emphasizes built-in data access controls and customer-managed encryption keys, aligning analytics access with the banks security and compliance requirements. The cloud-first rollout supports automation in document data capture and faster product launch cycles, including reported application completion speeds up to six times faster, and it enables staff to use unified data and AI-driven search to reduce time spent on information retrieval and focus on customer engagement and product design.
Data Warehouse Analytics and BI 2024 2024
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2022 2022
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Marketing Automation CRM 2024 2024
Tag Management CRM 2019 2019
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
AML, Fraud and Compliance TRM 2021 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2022 2022
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2024 2024
Content Delivery Network IaaS 2020 2020
Database Management IaaS 2024 2024
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Endpoint Detection and Response (EDR) CyberSecurity 2024 2024
Endpoint Detection and Response (EDR) CyberSecurity 2024 2024
Threat Modeling CyberSecurity 2024 2024
Web Application Firewalls (WAF) CyberSecurity 2021 2021

IT Decision Makers and Key Stakeholders at Bank Muamalat

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Bank Muamalat Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Bank Muamalat IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Bank Muamalat digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Bank Muamalat Technographics
Bank Muamalat is a Banking and Financial Services organization based in Malaysia, with around 2357 employees and annual revenues of $400.0 million.
Bank Muamalat operates a diverse technology stack with applications such as Mambu Cloud Banking Platform, Google Cloud Vertex AI and Google Looker, covering areas like Core Banking, Generative AI Platforms and Analytics and BI.
Bank Muamalat has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Mambu and Google.
Bank Muamalat recently adopted applications including Mambu Cloud Banking Platform in 2024, Backbase Digital Banking Platform in 2024 and Google Cloud Vertex AI in 2024, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Bank Muamalat’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Bank Muamalat’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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