Use case type

Digital banking

Digital banking solutions provide banking services through online and mobile channels, often automating account access, payments, onboarding, and customer support. They address the need to reduce branch dependence and improve convenience, speed, and service availability.

Use cases

13

Examples

13

Industries

2

Timeline

13 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

8 cases documented across 37 months (Jul 23 – Jul 26), peaking at 1 in November 2023.

5 earlier cases before Jul 23 not shown

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

10 shown from 13 use cases

Commerzbank has introduced a novel AI Banking Avatar aimed at providing private and small business customers with a mobile-first, interactive digital assistant. Integrated into the bank’s mobile app for 2.2 million users, the avatar leverages Microsoft Azure's security and scalability, utilizing the Azure OpenAI Service and the new Azure text-to-speech avatar technology. Customers can perform various banking tasks and receive personalized advice through natural language interaction with the avatar. The project followed an agile methodology with regular customer involvement and a strong emphasis on data security, responsible AI, and trustworthiness. Customer tests have shown positive feedback. The solution exemplifies combining generative AI with avatar technology to simplify banking processes, improve customer satisfaction, and offer a hybrid of human and digital experiences.

CommerzbankFinance

Banco do Brasil, a leading state-controlled Brazilian bank, is undergoing a comprehensive digital transformation, emphasizing AI and Generative AI. A key highlight is the deployment of Aladin, an AI-powered conversational agent supporting anti-money laundering analysts by synthesizing regulatory and public information for efficient case evaluations. Additionally, the bank utilizes generative AI to deliver personalized customer offers and insights. Over 300 systems operate on its hybrid cloud platform, leveraging Microsoft Azure for scalability and innovations. Since 2016, technology investments have exceeded 38.4bn reais. Strategic goals include improving customer experience, operational efficiencies, and compliance advancements.

Banco do BrasilFinance

Flowe, part of Italy’s Banca Mediolanum, partnered with Microsoft to become the first bank in the world that runs fully on Azure. The project was completed in just one year during the COVID-19 pandemic and provides agility, scalability, and security.Their open-banking platform combines financial services with environmental sustainability goals, and tools for lifestyle management such as CO2 impact compensation and gamified personal finance education. Flowe also uses Azure's advanced cognitive services for fraud detection. By utilizing Microsoft Power Platform and Microsoft Teams, the bank achieves fast iterations and offers a holistic customer experience that includes environmental and financial well-being, making them a pioneer in cloud-native banking.

FloweFinance

JPMorgan Chase, a leading financial institution in the US, embarked on a digital transformation journey to enhance fraud detection and improve overall banking services. Faced with increasing digital transactions and evolving fraud threats, the bank leveraged Microsoft Azure AI to implement real-time fraud monitoring and automated detection systems. By also deploying digital banking solutions and blockchain for cross-border payments, JPMorgan Chase streamlined operations, improved customer engagement, and reduced operational costs. The results included significantly faster fraud investigations, lower fraud losses, higher customer satisfaction, and improved operational efficiency. This case highlights how advanced AI and cloud technology can modernize legacy banking operations and maintain regulatory compliance, while also delivering more secure and personalized customer experiences.

JPMorgan ChaseFinance

Infosys launched the Finacle Data and AI Suite to help banks infuse artificial intelligence throughout their digital operations, enabling scalable adoption of AI with transparency and regulatory compliance. The suite, built on Microsoft Azure and Azure OpenAI Service, aims to empower banks in over 100 countries to deliver low-code, predictive, and generative AI solutions to transform customer experience, risk management, and operational decision-making.By leveraging Infosys Topaz—an AI-first, responsible-by-design platform for generative AI—the suite delivers robust data foundations and abstracts AI development complexity, putting advanced tools in business users' hands. It provides banks with ready capabilities for actionable insights across ecosystems, accelerating global AI adoption in banking.Infosys Finacle delivers digital engagement, payments, lending, and analytics solutions for global banks through this cloud-native offering. Their AI platform supports customization, scaling, and rapid innovation, empowering banks toward smarter and more agile operations.The suite addresses ethical and operational AI standards, including privacy, security, and compliance.Industry observers recognized the suite's potential to enable robust, differentiated transformation through data readiness and responsible AI, responding quickly to regulatory and market changes.

InfosysFinance

Banco Central do Brasil, together with Microsoft and commercial banking partners, has launched 'Drex', one of the world’s most advanced central bank digital currency (CBDC) projects. Built on Microsoft Azure, Drex leverages distributed ledger technology for secure and decentralized transactions and integrates generative AI copilots to automate smart contract creation and risk assessment. Its tokenization framework paves the way for programmable and composable financial products while addressing privacy with cutting-edge security solutions like zero-knowledge proofs. In its second development phase (2024–2025), the project focuses on expanding use cases, privacy validation, and scalable deployments throughout Brazil’s financial system. Drex is expected to drive financial inclusion, reduce transaction costs, improve efficiency in government-to-citizen payments, and rationalize financial sector operations, setting a blueprint for CBDCs globally.

Banco Central do BrasilFinance

Vodafone and Microsoft have entered into a 10-year strategic partnership aiming to transform customer and SME experiences across Europe and Africa. Through the adoption of generative AI, the companies intend to deliver hyper-personalized digital services and improve operational efficiency. A key aspect of the partnership is the scaling of Vodafone’s managed IoT connectivity platform and the development of new digital and financial services, especially for SMEs. Vodafone will also migrate its data center infrastructure to Microsoft Azure to simplify IT operations and achieve higher responsiveness.This collaboration will benefit more than 300 million businesses and consumers by modernizing core services and expanding digital financial inclusion, notably through the M-Pesa platform in Africa. Vodafone is investing $1.5 billion in cloud and AI initiatives as part of this agreement.Microsoft will also leverage Vodafone’s connectivity services. The partnership includes a purpose-driven program with the goal of advancing digital skills for 100 million African consumers and 1 million SMEs. Vodafone’s employees will gain access to Microsoft Copilot, boosting productivity through AI, while enterprise customers will have accelerated access to Microsoft services, security, and Teams. The initiative is designed to help business customers deploy cloud solutions faster and at lower cost, driving growth across multiple regions.

VodafoneTech & Comms

M-KOPA, founded in Kenya, is driving digital financial inclusion in Africa by leveraging Microsoft AI and Azure to offer affordable microloans for smartphones and digital services to low-income consumers. Customers can acquire smartphones through pay-as-you-go microloans, with phones serving as digital collateral for further credit offerings such as health insurance and emergency loans. These products are managed and accessed through an AI-powered app, streamlining loan approval, repayment, and eligibility for additional services.With over $1 billion in credit issued and 204,000 health insurance policies distributed, M-KOPA's financial ecosystem supports marginalized populations in Kenya, Uganda, Nigeria, Ghana, and South Africa, helping them manage financial emergencies and build long-term stability.By integrating Microsoft AI solutions, M-KOPA automates customer assessment and loan disbursement, reduces paperwork, and enhances accessibility for female entrepreneurs and underserved communities. The company's rapid growth has provided thousands of jobs, particularly for women in direct sales roles, and strengthened customer loyalty by enabling customers to expand businesses, pay education fees, and cope with health emergencies.M-KOPA's scalable platform serves both urban and rural low-income users, facilitating digital access that improves quality of life, economic participation, and financial resilience in emerging markets.

M-KOPAFinance

Macquarie Bank's Banking and Financial Services Group in Australia implemented a multicloud strategy including Google Cloud to transform its retail banking digital experience.They modernized infrastructure using Google Cloud Anthos, Kubernetes Engine, and Apigee API Platform to improve agility, scalability, and resilience.Machine learning and analytics on Google Cloud enable personalized customer experiences through data insights from structured and unstructured data.Google Cloud allowed the bank to reduce provisioning times from months to minutes and focus developers on innovation rather than cloud operations.The partnership supports a digital-first business model and co-innovating higher-order digital services such as home loan origination and application modernization.

Macquarie BankFinance

Pave Bank, a startup operating in Singapore and Georgia, developed a modern digital banking platform from the ground up leveraging Google Cloud technologies.The company integrated generative AI capabilities deeply into its core banking infrastructure using Google Cloud Vertex AI and Model Garden to accelerate product development and operational innovation.They utilized Google Cloud data services including BigQuery for analytics automation and Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Kubernetes for scalable containerized infrastructure.The integration enabled Pave Bank's engineering teams to make AI-driven decisions and accelerated innovation with cost and efficiency improvements.Pave Bank is dedicated to reimagining banking with a technology-first approach combining finance products with AI-driven operations.

Pave BankFinance

Common questions

Digital banking at a glance

How many digital banking use cases are documented?
The AI Use Case Hub documents 13 real digital banking deployments across 2 industries, with 13 detailed company examples you can browse.
Which industries adopt digital banking the most?
Digital banking is most common in Finance (92%) and Tech & Comms (8%).
Which countries lead in digital banking?
Brazil leads documented digital banking deployments, followed by Germany and Singapore.
What technologies are used for digital banking?
Teams most often build digital banking with Azure AI, Azure OpenAI and Azure.
What AI capabilities power digital banking?
Across the documented deployments, the most common capability patterns are Sustainability (23%), Agent (15%) and Copilot (15%).
What results do companies report from digital banking?
Across the 13 deployments reporting outcomes, companies most often cite new product / capability (77%), customer experience & trust (69%) and speed & agility (62%). Where impact is quantified, the strongest evidence is in revenue & growth: a median +82.5% across 1 reported metric.