<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/marketing-cms/m2p-blog/2025/11/2-5.webp" alt="Applications with AI" title="" id="2ovshdien" width="100%" height="255">Most developers build apps to solve problems. But what if your app could anticipate them?&nbsp; That’s the promise of AI-first development. While the idea may seem daunting, getting started can be as straightforward as experimenting with proof of concept, one that challenges conventional software-building approaches.&nbsp; Let’s explore how this transformative approach works.&nbsp;<h2 class="heading-node" id="wju5vq4px" style="text-align: justify">A Simple Proof of Concept Changes Everything&nbsp;</h2>A recent development effort has sparked a profound shift in perspective on modern application development. The outcome is a simple banking application serving as proof of Concept (POC) not a production-ready system, but one that operates in a fundamentally different way from traditional applications.&nbsp;Instead of navigating through complex menus just to check transactions, users can simply ask for what they need. Instead of filling out multiple fields to transfer money, they just express their intent naturally. This app goes beyond merely responding; it autonomously performs tasks, navigates interfaces, updates settings, and formats data exactly as requested.&nbsp;This level of responsiveness is powered by a compact, 1-billion parameter Large Language Model (LLM) running entirely on the device. No cloud dependency. No latency. Just real-time intelligence embedded within a minimal Flutter app.&nbsp;<h2 class="heading-node" id="5i57cc3a7" style="text-align: justify">The Convergence Driving AI Adoption&nbsp;</h2>Multiple industry forces are reshaping mobile experiences. Breakthroughs in device hardware, rising demand for hyper-personalization, and platform-level AI integration are converging to accelerate the shift toward AI-first development.&nbsp;<ul class="list-node" id="w299ff379"><li>Hardware Reality: Mobile device power is exponentially increasing. Running small, efficient AI models locally is quickly becoming standard practice, not a luxury. The computational power that previously required cloud infrastructure now fits in a user’s pocket.&nbsp;</li></ul><ul class="list-node" id="8zqgr120j"><li>Business Reality: Premium AI inference subscriptions are increasingly common. Users have shown a willingness to pay for intelligent experiences, making AI capabilities an inevitable necessity for competitive applications.&nbsp;</li></ul><ul class="list-node" id="juqugkm4d"><li>Platform Reality: Major mobile operating systems (OS) are moving toward unified, OS-level AI assistants. Imagine asking the system assistant to "order food from Zomato" or "book a cab to the airport," and the action executes seamlessly by integrating with installed applications.&nbsp;</li></ul>However, this future relies on one crucial prerequisite: individual applications must expose their capabilities to the OS-level model through standardized interfaces. This POC demonstrates this principle, not as a complete product, but as a glimpse of the inevitable future.&nbsp;<h2 class="heading-node" id="byj3uylbq" style="text-align: justify">The Paradigm Shift: From Features to Foundation&nbsp;</h2>The industry is at an inflection point. Years of mastering fundamental architectural patterns are reaching saturation:&nbsp;<ul class="list-node" id="l4veukh66"><li>MVC, MVVM, clean architecture&nbsp;&nbsp;</li></ul><ul class="list-node" id="6cf8h5krn"><li>State management patterns&nbsp;&nbsp;</li></ul><ul class="list-node" id="xnmfn1l2f"><li>Responsive UI frameworks&nbsp;&nbsp;</li></ul><ul class="list-node" id="7fep9zdwz"><li>API integration&nbsp;&nbsp;</li></ul>These are well established, thoroughly documented, and widely understood domains with limited scope for innovation. The next revolutionary wave lies in AI-first development, the new and largely untapped frontier. This is not merely about ‘adding a chatbot’ or ‘AI features.’ It means designing an application from the outset to be intelligent, adaptive, and exposable to external AI systems.&nbsp;<h2 class="heading-node" id="b2n0jlwuv" style="text-align: justify">Lessons from Minimal POC&nbsp;</h2>In the minimal banking application, AI is not a secondary feature, it is the primary interface:&nbsp;<table class="border-collapse border border-gray-300" style="min-width: 50px"><colgroup><col style="min-width: 25px"><col style="min-width: 25px"></colgroup><tbody><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Traditional Approach&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">AI-First Approach (POC)&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">User opens app $\to $ Navigates to Transactions $\to$ Filters by date $\to$ Scrolls through list&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">User: "Show last month’s grocery spending" $\to$App: Executes query, generates visualization, displays result&nbsp;</td></tr></tbody></table>The difference is clear: five manual steps are replaced by one natural language sentence. The real learning, however, is deeper:&nbsp;<ol class="list-node" id="211x94mig"><li>Tool Exposure: Most features were exposed as callable tools. The AI can check balances, transfer money, update settings, and navigate screens, basically everything a human can do through the UI, the AI can execute through intent. The pattern for clear capability exposure is established.&nbsp;</li></ol><ol class="list-node" id="1zzvsql9y" start="2"><li>Dynamic UI Generation: The interface is not static. A request for data as a ‘colorful timeline’ or a ‘compact list’ and the AI generates the appropriate layout on the fly. Same data, infinite presentations.&nbsp;</li></ol><ol class="list-node" id="0e74y2449" start="3"><li>Personalized Adaptation: The basic POC demonstrates the ability to adapt information presentation based on context. Scaled up, this means the application literally becomes tailored to individual preferences.&nbsp;</li></ol><h2 class="heading-node" id="67l8pflc8" style="text-align: justify">Technical Reality: On-Device Intelligence&nbsp;</h2>The most remarkable technical insight is the execution environment. The POC runs on a 1 billion parameter model (Llama 3.2) locally, and not in the cloud. This provides complete privacy and low latency, achieved within a simple Flutter POC developed over a single weekend.&nbsp;This capability exists today with&nbsp;<ul class="list-node" id="r0ugck41g"><li>$1$B models (demonstrated locally)&nbsp;</li></ul><ul class="list-node" id="z0b6ql7sa"><li>$7$B models (already capable to run on high-end devices)&nbsp;</li></ul><ul class="list-node" id="hn5hh92we"><li>Specialized models fine-tuned for specific domains&nbsp;</li></ul>The breakthrough is not in the specific tech stack, but in the possibilities that emerge when development transitions from treating AI as a feature to embracing it as the core foundation. A simple POC is sufficient to reveal this future.&nbsp;<h2 class="heading-node" id="qwx1frmm5" style="text-align: justify">OS-Level Future and App Tooling&nbsp;</h2>A clear prediction based on this experiment is that within 3 to 5 years, OS vendors will establish standard protocols for application-AI integration.&nbsp;<ul class="list-node" id="1cjrpeufx"><li>Scenario: OS assistant: ‘Book a cab to the airport’&nbsp;</li></ul><ul class="list-node" id="wu2n2lhz6"><li>Application Response: Installed cab apps expose their booking tools to the OS-level AI&nbsp;</li></ul><ul class="list-node" id="ox941wb6u"><li>Result: The transaction executes seamlessly without the need to open the app&nbsp;</li></ul>For this orchestration to function, applications must expose their core capabilities as callable tools. The banking app POC demonstrates this by exposing transactions, transfers, settings, and navigation as functions the LLM can invoke. This is not about replacing applications but about creating a unified experience where user intent drives OS-orchestrated execution across multiple applications. Applications that fail to expose intelligent interfaces will feel as dated as non-touch interfaces felt a decade ago.&nbsp;<h2 class="heading-node" id="9s63kxutu" style="text-align: justify">Why is AI-First No Longer Optional?&nbsp;</h2>Every evolved technology platform eventually reaches saturation. Web, mobile, and backend architecture have largely plateaued in foundational innovation. Implementing traditional patterns is now easy, well-documented, and battle tested.&nbsp;AI-centric development represents the next untapped frontier, one that’s rich with opportunity rather than hype. Investing effort in this direction is not about following trends but about strategically positioning development teams at the forefront of the next major platform transformation. Just like how ‘mobile-first’ defined a generation of digital innovation in 2010, ‘AI-first' will be the defining standard of 2025.&nbsp;&nbsp;The goal is a user experience revolution:&nbsp;<ul class="list-node" id="6c7e6e60z"><li>Respecting Time: One natural request replaces multiple taps&nbsp;</li></ul><ul class="list-node" id="z5sfb5t2h"><li>Reducing Cognitive Load: Users state what they want, not how to achieve it&nbsp;</li></ul><ul class="list-node" id="rh07sdxp4"><li>Enabling Accessibility: Voice and text interfaces support any language or ability level&nbsp;</li></ul><ul class="list-node" id="qs0fgsue7"><li>Personalizing Experience: Interfaces dynamically adapt to individual preferences&nbsp;</li></ul>It's about creating software that feels less like a tool and more like a helpful, intuitive colleague. Even a minimal POC confirms this immediate difference.&nbsp;<h2 class="heading-node" id="1lld3zr8l" style="text-align: justify">Behind the Scenes: The Core Mechanism&nbsp;</h2>The simple POC operates through three core concepts:&nbsp;<ol class="list-node" id="adya4yfg1"><li>Natural Language Understanding: The AI comprehends the user's intent&nbsp;</li></ol><ol class="list-node" id="djtkjwjgq" start="2"><li>Tool Integration: The AI can perform actions (it doesn't just talk about them)&nbsp;</li></ol><ol class="list-node" id="o01tmng0h" start="3"><li>Dynamic UI Generation: Interfaces are created based on context and user preferences&nbsp;</li></ol>All this is achieved with a small Llama 3.2 1B model running locally. If such a tiny model can demonstrate this potential in a weekend POC, the possibilities with larger, production-grade models are genuinely transformative.&nbsp;<h2 class="heading-node" id="zulrpoi4u" style="text-align: justify">Start Now: Minimal Requirements&nbsp;</h2>Exploring this frontier does not require massive datasets or cutting-edge hardware. It requires:&nbsp;<ul class="list-node" id="v8tjgebrg"><li>A clear mental model of AI-first architecture&nbsp;</li></ul><ul class="list-node" id="g5fpux9r2"><li>Familiarity with tool-calling frameworks (e.g., those like MCP)&nbsp;</li></ul><ul class="list-node" id="m1jem0qmq"><li>A willingness to experiment with local LLMs&nbsp;</li></ul><ul class="list-node" id="gvoehloua"><li>A focus on user intent over predefined UI navigation&nbsp;</li></ul>The most important step is simply to start.&nbsp;&nbsp;Build a POC.&nbsp;&nbsp;Because the barrier to entry has never been lower: local models are free, frameworks are maturing, and the development community is collaborative.&nbsp;<h2 class="heading-node" id="vkrmz46ca" style="text-align: justify">Final Thoughts&nbsp;</h2>Every transformative platform shifts initially seemed like ‘overkill’&nbsp;<ul class="list-node" id="4ogqxboph"><li>Why do we need apps? Mobile web works fine’&nbsp;</li></ul><ul class="list-node" id="dpjosdqhz"><li>Why touch screens? Keyboards work&nbsp;</li></ul><ul class="list-node" id="wonec1ob4"><li>Why voice assistants? We have to search&nbsp;</li></ul>AI-first development is rapidly becoming the foundation on which the next generation of financial applications will be built. By adopting this approach early, development teams not only enhance user experiences but also drive competitive advantages and sustainable innovation.&nbsp;&nbsp;The future belongs to those who lead the AI transformation rather than follow it. Taking this proactive stance will define the banking landscape for years to come.&nbsp;This thought leader article was authored by <a class="link" href="https://www.linkedin.com/in/srinivasan0000/?external_page=LPC.Immersive&amp;external_control=ViewProfileLink&amp;external_app_instance=a1c4a059-11ec-453f-87a1-0aa470978cd0&amp;external_page_instance=0f3680e8-5391-4d77-bef8-7df8cb3dc074&amp;experiment=displayLinkedInDataPrebind" target="">Srinivasan R</a>, Senior Development Engineer, M2P.&nbsp;Follow us on <a class="link Hyperlink SCXW196284913 BCX8" href="https://www.linkedin.com/company/m2pfintech/mycompany/" target="_blank" rel="noreferrer noopener">LinkedIn</a> and <a class="link Hyperlink SCXW196284913 BCX8" href="https://twitter.com/m2pfintech" target="_blank" rel="noreferrer noopener">Twitter</a> for insightful fintech bytes curated for curious minds like you.

AI-First: Powering the Next Generation of Smart Applications

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/marketing-cms/m2p-blog/2025/06/Debit%20card%20Intelligence%20banner.webp" alt="Debit Card Intelligence" title="" id="telv39bg4" width="100%" height="253">With nearly 980 million in circulation, debit cards remain a cornerstone of everyday financial transactions in India. Even as digital payment platforms like UPI experience meteoric growth, debit cards continue to play a vital role in the financial ecosystem, offering familiarity, accessibility, and trust to a broad user base.&nbsp;Today’s consumers consider transactions as more than just a utility. They expect enriched experiences via personalized rewards, real-time insights, seamless service, and intelligent engagement. Traditional debit card programs, often built on static, legacy systems, are grappling to keep pace with these dynamic expectations.&nbsp;What if your debit card program could do more?&nbsp;M2P’s Debit Card Stack has long empowered banks with a cloud-agnostic, end-to-end platform to launch and manage debit card programs with unmatched speed and scalability. Now, we’re taking it a step further with intelligence built in.&nbsp;Let’s explore how the intelligence layer in our Debit Card Stack empowers banks to reimagine debit cards, transforming them from simple payment tools into dynamic engines of customer retention and sustainable growth. &nbsp;Before that let’s have a quick gist of the barriers banks are facing in the debit card space.&nbsp;&nbsp;<h2 class="heading-node" id="n88w012qe" style="text-align: left">Barriers in Debit Card Management System&nbsp;</h2>Banks are finding it difficult to drive sustainable revenue from debit card programs, especially in regulated markets where interchange fees are lower. Compounding this challenge, fragmented data systems hinder their ability to gain deep customer insights, resulting in generic, slow-to-launch campaigns that fail to resonate with customers and often overlook valuable cross-sell opportunities. Although banks possess vast transaction data, most lack the advanced intelligence infrastructure required to convert this information into actionable insights and incremental revenue. Our Intelligence Layer is designed to address these barriers head-on, enabling banks to deliver automated, data-driven experiences that enhance customer engagement and drive long-term profitability.&nbsp;&nbsp;<h2 class="heading-node" id="sl13xbid9" style="text-align: left">Intelligence Layer - Turning every transaction into a revenue multiplier&nbsp;&nbsp;&nbsp;</h2>The AI-driven intelligence layer in our Debit Card Stack enables banks to deliver personalized and automated experiences that drive customer loyalty and unlock new revenue streams. It also helps in analyzing customer behavior, spending patterns, and transaction histories, much like a real-time decision engine.&nbsp;With a privacy-first design that never ingests Personally Identifiable Information (PII), our solution sets itself apart—enabling smarter, data-driven decisions, optimized debit card programs, and superior customer experiences, all while upholding the highest standards of data privacy and security. Banks can launch multiple, data-driven campaigns that respond instantly to customer needs and market shifts, ensuring every message is relevant, and every touchpoint builds trust.&nbsp;By transforming millions of raw data points into deep insights, the platform allows banks to move beyond generic campaigns and run highly targeted, end-to-end initiatives that deliver measurable business impact in real time. Leveraging real-time analysis of spending patterns, demographics, and behavioral data, banks can:&nbsp;<ul class="list-node" id="rdbxo6smz"><li>Personalize at scale: Deliver tailored offers and rewards that resonate with individual customers.&nbsp;</li></ul><ul class="list-node" id="c6a3i6keg"><li>Predict and prevent churn: Identify at-risk customers and deploy proactive retention strategies.&nbsp;</li></ul><ul class="list-node" id="u6znwibtx"><li>Maximize campaign ROI: Launch targeted, data-driven marketing campaigns with no-code tools.&nbsp;</li></ul>To understand how this AI-driven intelligence layer translates into tangible business outcomes, let’s explore the core modules and the value they bring to your debit card program&nbsp;<h2 class="heading-node" id="pwu7x7zob" style="text-align: left">Modules of our Intelligence Layer&nbsp;</h2>Our intelligence layer comprises a set of specialized modules designed to enhance every facet of <a class="link" href="https://m2pfintech.com/blog/say-goodbye-to-hassles-simplify-debit-card-management-with-m2p-fintechs-revolutionary-platform/" target="">debit card management</a>and customer engagement. &nbsp;<h3 class="heading-node" id="n1s5lctoe" style="text-align: justify">Bank Portfolio Dashboard&nbsp;</h3>Empower portfolio managers with real-time analytics and advanced filters to monitor card program performance at a granular level. Visualizing key metrics such as transaction volumes and customer activity enables banks to quickly identify trends, detect anomalies, and make data-driven decisions—resulting in optimized resource allocation, enhanced risk management, and more targeted debit card marketing strategies for maximum ROI.&nbsp;<h3 class="heading-node" id="y3czbnet5" style="text-align: justify">Brand Planner&nbsp;</h3>Enables Merchant Partnership Managers to identify and optimize high-value merchant relationships by analyzing spend trends across categories and sub-categories. This module delivers comprehensive analytics and actionable insights, supporting informed decisions, personalized engagement strategies, and strategic growth.&nbsp;&nbsp;<h3 class="heading-node" id="cn9zzkrme" style="text-align: justify">Spend Indicator&nbsp;</h3>Forecasts spending trends using both historical and real-time data, allowing banks to anticipate shifts in consumer behavior. This proactive approach helps optimize merchant campaigns, refine product offerings, and efficiently allocate marketing budgets, ensuring swift responses to market changes and sustained growth.&nbsp;<h3 class="heading-node" id="1gvubmdoy" style="text-align: justify">Spotlight&nbsp;</h3>A robust sales enablement tool that equips bank teams with actionable insights, data-driven recommendations, and tailored talking points for merchant pitches. Leveraging real-time analytics and spend trends, Spotlight helps teams identify relevant merchant segments, personalize outreach, and highlight compelling product offerings.&nbsp;<h3 class="heading-node" id="wxma7s9u1" style="text-align: justify">Merchant Onboarding&nbsp;</h3>Streamlines the addition of new merchants—individually or in bulk—through an intuitive, automated interface. This reduces manual effort, minimizes errors, and accelerates network expansion, increasing the variety of offers available to cardholders and enhancing the card’s competitiveness.&nbsp;<h3 class="heading-node" id="r1o19exr4" style="text-align: justify">Offer Creation &amp; Approval&nbsp;</h3>Enables rapid creation of new offers with AI-driven recommendations for target segments and campaign parameters. This reduces the time and expertise needed to launch campaigns, ensuring offers remain relevant and timely, and allowing banks to respond quickly to market dynamics.&nbsp;<h3 class="heading-node" id="8ses6yinm" style="text-align: justify">Dispatch Management&nbsp;</h3>Simplifies the coordination of campaign collateral, target groups, and schedules, ensuring marketing materials reach the right audience at the right time. Efficient dispatch management supports seamless execution of multi-channel campaigns and maximizes reach.&nbsp;<h3 class="heading-node" id="iu3b1valg" style="text-align: justify">For-You&nbsp;</h3>Delivers personalized, auto-loaded offers to cardholders based on unique behaviors and preferences. By making relevant incentives easily accessible, banks can boost engagement, increase card usage, and foster long-term loyalty. The module also provides daily, tailored insights to bank teams, keeping them proactive and attuned to customer needs—a true guide to smarter banking.&nbsp;<h3 class="heading-node" id="wxlv4ctaq" style="text-align: justify">For-You Impact Reports&nbsp;</h3>Provides detailed analytics on campaign performance, including transaction data, redemption rates, and spending patterns. These insights enable continuous refinement of debit card marketing strategies, helping banks optimize future campaigns for greater effectiveness.&nbsp;Together, these modules transform your debit card program into a dynamic, data-driven engine for growth and customer loyalty.&nbsp;<h2 class="heading-node" id="dx3at5mkx" style="text-align: left">Benefits of our AI-driven Intelligence Layer&nbsp;</h2>The intelligence layer in our Debit Card Stack delivers a host of business benefits for banks and brands, fundamentally reshaping how they operate and engage with customers.&nbsp;Enhanced Customer Loyalty and Engagement via Personalized Experiences - By leveraging transactional data and customer insights, banks and brands can deliver highly relevant offers, rewards, and communications tailored to individual preferences and behaviors.&nbsp;&nbsp;Reduced Churn Rates by Identifying and Addressing At-Risk Customers - The AI-driven prediction models enable early identification of customers who may disengage or reduce card usage. This allows banks and brands to proactively intervene with targeted retention campaigns and personalized incentives, significantly lowering<a class="link" href="https://m2pfintech.com/blog/how-banks-can-retain-and-engage-customers-with-m2ps-attrition-predictor-powered-credit-card-stack/" target=""> churn rates</a>.Improved Marketing ROI with Data-backed Campaign Strategies - Data-driven insights empower marketing teams to design and execute highly targeted campaigns that resonate with specific customer segments.&nbsp;&nbsp;Streamlined Operations &amp; Lower Costs via Automation and Seamless Integration - Automation of campaign management, merchant onboarding, and reporting reduces manual workloads and operational complexities. Seamless integration with core banking and digital platforms ensures smooth workflows and faster execution. These efficiencies lower operational costs by up to 25%, freeing resources to focus on innovation and growth.&nbsp;&nbsp;M2P’s <a class="link" href="https://m2pfintech.com/debit-cards/" target="">Debit Card Stack</a> is wrapped with an AI-driven intelligence layer—gives banks the tools to turn every transaction into a moment of impact. From operational efficiency to customer delight and strategic growth, it delivers the future of debit card programs.&nbsp;&nbsp;Ready to transform your debit card program into a revenue powerhouse?&nbsp;<a class="link" href="https://www.m2pfintech.com/contact-us/?activeKey=1&amp;utm_source=Blog%20Page&amp;utm_medium=M2P%20Website&amp;utm_campaign=Debit_Goals" target="_blank">Schedule a demo</a> today.&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://m2pfintech.com/newsletter/" target="_blank" rel="noreferrer noopener">Subscribe</a>&nbsp;to our newsletter and get the latest fintech news, views, and insights, directly to your inbox.Follow us on&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://www.linkedin.com/company/m2pfintech/mycompany/" target="_blank" rel="noreferrer noopener">LinkedIn</a>&nbsp;and&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://twitter.com/m2pfintech" target="_blank" rel="noreferrer noopener">Twitter</a>&nbsp;for insightful fintech bytes curated for curious minds like you.

Intelligent Debit Card Stack: Driving Growth and Engagement for Banks

8 Ways AI is Reinventing the Fintech Landscape

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2025/04/AI-Enabled-Personalized-Banking-2025-02.webp" alt="Artificial Intelligence in Personalized Banking" title="" width="100%" height="253">A few years ago, personalization in banking was more informal and largely based on human relationships, trust, and individual's banking history. The bank employees and managers personally knew their customers and tailored services based on their relationship with the bank. For instance, a long-term account holder, a senior citizen, or business owners/HNIs had privileges such as easier access to loans, priority in transaction processing, special interest rates on deposits/loans, and more.Today, personalization in banking is no longer a privilege but a norm. Consumers look for banking experiences that perfectly align with their unique needs and preferences. With the rise of fintechs and the adoption of AI, banks can now not only deliver hyper-personalized services but also do it at scale with far greater efficiency.&nbsp;<h2 class="heading-node" id="k6ytubd2r" style="text-align: justify">What is personalized banking?</h2>Personalized banking refers to focusing on tailoring banking experiences and products to meet the unique needs and preferences of individual customers. In this approach, banks leverage digital banking platforms that use advanced technologies, such as artificial intelligence (AI) and machine learning, to provide customized financial solutions.&nbsp;&nbsp;By tailoring products and services to individual preferences, banks not only enhance customer satisfaction but also strengthen loyalty and deepen relationships. This shift toward hyper-personalized financial services is shaping a more dynamic, responsive, and customer-focused banking industry.<h2 class="heading-node" id="iabswxftf" style="text-align: justify">How is AI enabling personalized banking?</h2>AI-driven insights on customer interactions and spending patterns empower the banking sector, including retail, commercial, and investment banking, to offer engagement that closely mimics human intelligence and interaction. In short, AI has become the bank employee/manager, who deeply understands the customer’s relationship with the bank.&nbsp;From AI-powered chatbots providing 24/7 assistance to predictive models anticipating financial needs, here is how AI is transforming customer interactions and redefining the banking experience.<ol class="list-node" id="8hsrgc3fk"><li>Comprehensive customer insights</li></ol>AI systems analyze extensive data, including spending habits and credit consumption, to create detailed customer profiles. These insights enable banks to anticipate customer needs and offer proactive solutions. For example, AI can identify when a customer might benefit from a savings plan or suggest a loan precisely when it's needed.&nbsp;<ol class="list-node" id="tkwqdjddo" start="2"><li>Customized financial guidance</li></ol>AI-powered robo-advisors provide tailored investment and savings strategies by assessing factors like income, expenses, and financial goals. Whether it’s guiding a young professional saving for their first home or assisting a retiree planning for estate management, these tools ensure personalized and relevant advice.&nbsp;<ol class="list-node" id="xgrtnlbtn" start="3"><li>Tailored product offerings</li></ol>AI enables banks to align products such as loans, credit cards, and insurance policies with individual customer requirements. By analyzing real-time data, banks can recommend the most suitable products at the right time, enhancing customer satisfaction and driving higher conversion rates.&nbsp;<ol class="list-node" id="luo3udso0" start="4"><li>Real-time customer engagement</li></ol>AI-driven chatbots and virtual assistants redefine customer service by offering instant, personalized support. They address customer queries, recommend financial products, and provide timely reminders, alerts, and tips. These tools foster deeper engagement by ensuring customers feel valued and supported throughout their financial journey.&nbsp;<ol class="list-node" id="19uz9plru" start="5"><li>Enhanced fraud detection and security</li></ol>AI not only strengthens security but also integrates personalization into fraud prevention. By detecting anomalies in customer behavior, AI can identify suspicious activities and provide tailored security recommendations. This approach builds trust and ensures customers feel safe in their banking experience.<h2 class="heading-node" id="mm4tck3hj" style="text-align: justify">AI use cases in personalized banking</h2>The potential of AI in personalized banking is immense. The below use cases not only drive retention and reduce churn rates but also boost customer value, making AI a vital strategy for businesses seeking long-term success.<h3 class="heading-node" id="1vj7vqvhw" style="text-align: justify">Product recommendations&nbsp;</h3>Analyzing the individual’s financial data, such as transaction history, income, expenses, savings, and investment patterns, banks can create highly personalized promotional offers that reflect a customer’s profile and interactions.&nbsp;For instance, an individual who frequently travels may receive special offers for flight bookings, travel insurance, foreign exchange services, etc. In contrast, a young professional with a strong saving history could be recommended investment options tailored to first-time investors or promotional savings accounts featuring offers/incentives for purchasing new gadgets, software, or other tech-related items.&nbsp;&nbsp;<h3 class="heading-node" id="kn99gldmy" style="text-align: justify">Personalized loan and credit offers&nbsp;</h3>Banks and lending institutions can tailor credit products based on an individual's cash flow, credit history, and purchase behavior. This allows timely, context-specific lending solutions with better approval rates and customer satisfaction.&nbsp;For example, a small business owner with recurring monthly deposits and regular GST filings may be offered a pre-approved working capital loan right before their peak sales season. On the other hand, a salaried millennial with consistent rideshare expenses might receive an offer for a two-wheeler loan with flexible EMIs and instant disbursement.&nbsp;<h3 class="heading-node" id="3nllmp3av" style="text-align: justify">Intelligent customer onboarding&nbsp;</h3>By leveraging data-driven insights, financial institutions can personalize onboarding journeys by identifying user goals and delivering relevant content, features, and product walkthroughs. This builds trust from the first interaction and drives faster adoption.&nbsp;For instance, a first-time salary account holder might be welcomed with step-by-step onboarding for auto-debit setup, goal-based savings, and credit score tracking. Conversely, a freelancer/gig worker signing up via a partner app could receive tailored onboarding for digital wallets, low-cost insurance, and daily payout solutions, right from the first login session.&nbsp;<h3 class="heading-node" id="ehbe68nyj" style="text-align: justify">Personalized financial coaching&nbsp;</h3>AI-driven financial coaching tools analyze income, expenses, and goals to deliver personalized insights, alerts, and planning assistance, helping users improve financial health over time.&nbsp;For example, a user who regularly pays credit card bills late might receive automated reminders, interest calculators, and nudges to set payment alerts. Meanwhile, a new parent whose expenses have shifted toward childcare, and health might receive tailored budgeting advice, tax-saving tips, and investment suggestions for planning their child’s education.<h2 class="heading-node" id="2x6iygzoh" style="text-align: justify">Future of personalized banking</h2>The future of banking is driven by deeper AI integration, bringing innovations like voice-enabled banking, AR-powered financial tools, and predictive wellness platforms. As AI advances, it will redefine customer expectations, enabling banks to offer precise, meaningful, and impactful financial experiences.&nbsp;However, AI adoption comes with challenges, including algorithmic bias, data security risks, and ethical concerns. To unlock its full potential, banks must prioritize data privacy, proactively collaborate with regulators, mitigate bias, and overcome strategic barriers.<h2 class="heading-node" id="ktvy866lc" style="text-align: justify">Personalized banking: the way forward</h2>To navigate through the complex landscape and fully harness AI’s potential, banks need a robust, AI-powered personalized and automated banking workflow built for adaptability, security, and seamless innovation.&nbsp;&nbsp;M2P’s data intelligence platform is a prime example of how AI and machine learning can actively be used to deliver hyper-personalized financial solutions.<h2 class="heading-node" id="v5vxg7g6v" style="text-align: justify">Strengthen personalized banking with M2P’s Data Intelligence Platform</h2>M2P’s transactional banking data intelligence platform helps banks turn raw data into actionable insights using AI and machine learning. It focuses on three key areas: analyzing spending, activating customers, and enhancing engagement.Analyzing spending: At the core of M2P’s data platform is a proprietary AI-powered engine that analyzes billions of real-world data points, encompassing financial, demographic, and transactional information. Banks gain deep insights into customer spending behaviors, helping optimize product strategies.&nbsp;&nbsp;Activating customers: The activation module uses gamification to encourage customer engagement, reactivating dormant users and driving higher transactions.&nbsp;&nbsp;Enhancing engagement: The personalized front-end module transforms banking experiences with visually stunning and user-friendly tailored offers to your customers, driving engagement, loyalty, and revenue growth.&nbsp;Additionally, our one-of-a-kind, comprehensive module Automate Portfolio Management enables seamless brand partnership management, workflow automation, and robust data visualization ​and extraction. This ensures customers receive relevant offers through personalized campaigns.&nbsp;By leveraging AI-enabled solutions to understand customer behavior and deliver tailored experiences, M2P empowers banks to create a new era of hyper-personalized financial services.&nbsp;All in all, as AI continues to redefine banking, the ability to harness data for personalization will be a game-changer. Banks that adopt AI-powered platforms like M2P’s data intelligence platform will not only enhance customer satisfaction but also drive sustained growth in an increasingly digital-first world.&nbsp;Ready to transform your institution with hyper-personalized financial services?Write to us at <a class="link" href="mailto:business@m2pfintech.com">business@m2pfintech.com</a><a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://m2pfintech.com/newsletter/" target="_blank" rel="noreferrer noopener">Subscribe</a>&nbsp;to our newsletter and get the latest fintech news, views, and insights, directly to your inbox.Follow us on&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://www.linkedin.com/company/m2pfintech/mycompany/" target="_blank" rel="noreferrer noopener">LinkedIn</a>&nbsp;and&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://twitter.com/m2pfintech" target="_blank" rel="noreferrer noopener">Twitter</a>&nbsp;for insightful fintech bytes curated for curious minds like you.

Personalized Banking with AI: Transforming Customer Experience & Financial Services

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2025/02/2000x1000-100-1.webp" alt="Top fintech trends and predictions for 2025" title="" width="100%" height="358">As we step into 2025, the global fintech market is buzzing with excitement and possibilities. The industry is expected to hit a staggering $340 billion this year, and the pace of innovation shows no signs of slowing down. At M2P Fintech, we closely watch how technologies like AI, machine learning, and RPA are transforming the way we experience financial services.&nbsp; That being said, from AI-powered wealth management tools to the new innovations in neobanking, here are 10 key predictions we believe will shape the future of fintech in 2025.&nbsp;<h2 class="heading-node" id="fbqcyqbu6" style="text-align: justify">1. Embedded Finance will surge&nbsp;</h2>Embedded finance industry is projected to rise drastically in 2025, and in the upcoming years, it is estimated that embedded finance market will grow from $115.8 billion in 2024 to $251.5 billion by 2029 globally. This industry has diverse applications, from payments and banking to investing and beyond.&nbsp; Embedded finance will play a pivotal role in digital businesses, as the consumer seeks a more seamless and integrated experience. Embedded finance in India is expected to flourish from $5.8 billion in 2024 to $28.6 billion by 2029.&nbsp; Trends that are likely to shape this space include AI and automation, blockchain and smart contracts, PSD3 regulations, and connected industries. As more consumers realize the convenience and value of embedded finance, its adoption will continue to rise.&nbsp;<h2 class="heading-node" id="opuf2tynx" style="text-align: justify">2. Robotic Process Automation (RPA) to expand its role&nbsp;</h2>Robotic Process Automation (RPA) in financial services is set to evolve beyond the basic automation in 2025. Driven by trends such as hyper-automation, advanced AI integration, and the emergence of RPA-as-a-service, the global RPA market is projected to reach $13.87 billion by 2028, at a CAGR of 24.31%. In India specifically, the market for RPA is anticipated to reach $787.3 million by 2032.&nbsp;&nbsp; With more and more organizations prioritizing cost savings, high productivity, and a neat customer experience to meet the demands, making the market for automation is expected to expand wider. This growth enables FIs to automate complex processes and enhance operational efficiency and customer service, all while ensuring compliance with regulatory standards.&nbsp;<h2 class="heading-node" id="wmnaqoqt2" style="text-align: justify">3. Wealthtech industry is on an upward trajectory&nbsp;</h2>The wealthtech industry is primed to experience rapid expansion in 2025 with a projection to reach $12.07 billion by 2030, at a CAGR of 13.9%. &nbsp; The combined wealth of millennials and Gen Z, along with their preference for digital-first solutions, will drive innovations in the wealth management space. The integration of wealth management with gaming and social media will enhance the adaptability of the wealthtech platform.&nbsp; The rise of digital portfolios, rather than the physical assets, marks the investments in the financial instruments, which now make up 33% of India’s GDP. Especially post-pandemic, the usage of mutual funds and demat account inflows reached unprecedented levels.&nbsp;&nbsp; Looking forward to 2025, India’s wealthtech market carries immense potential; traditional hubs like Delhi and Mumbai continue to drive growth. Tier-2 and Tier-3 cities offer untapped markets for first-time investors who are eager to invest in these digital portfolios according to their risks and needs.&nbsp;<h2 class="heading-node" id="t77na0rlb" style="text-align: justify">&nbsp;4. Blockchain to take the lead&nbsp;</h2>The finance industry will gain more momentum in the blockchain race, as the technology is heavily focused on cheaper and faster financial transactions across borders. In the future, the adoption of blockchain will rise significantly to build more transparent and secure financial systems.&nbsp;&nbsp; At a CAGR of 82.2%, experts anticipate the global blockchain market to reach $1,235.72 billion by 2030. As consumers across the world need secure transactions, the opportunity for blockchain technology will immensely grow in the near future. Security and transparency, decentralization, and efficiency will boost the rise of blockchain technology.&nbsp;&nbsp; India’s blockchain market is predicted to reach revenue of $53,182.9 million by 2030, at a CAGR of 89.4%. Scalability, regulation, complexity, energy consumption, and security are the major challenges blockchain technology must overcome for its growth.&nbsp;<h2 class="heading-node" id="pil7my7iz" style="text-align: justify">5. AI will transform the industry&nbsp;</h2>This year, artificial intelligence (AI) is expected to revolutionize the fintech industry by improving operational efficiency and customer experiences. Projections indicate that the market for AI in fintech will reach $31.71 billion in 2027, steered by factors such as threat prevention, preventive analysis, demand for personalized user experience, high security, and faster transactions on the go.&nbsp;&nbsp; On the other hand, experts predict that India's market will reach $8.30 billion in 2025, at a CAGR of 27.86% to reach a market volume of $28.36 billion by 2030. By leveraging AI, fintech companies aim to create more inclusive financial ecosystems, ultimately making financial services more accessible and responsive to diverse consumer needs.&nbsp;<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2025/02/2000x1000-copy-100-1.webp" alt="Top fintech trends and predictions for 2025" title="" width="100%" height="358"><h2 class="heading-node" id="487atgitr" style="text-align: justify">6. Internet of Things (IOT) in fintech is set to snowball&nbsp;</h2>By 2029, the global IoT market is projected to reach $1.56 trillion with a 10.49% increase in market volume. With advancements in 5G connectivity, digital twin technology, edge computing, AI and ML, and blockchain, the rise of IoT looks promising. &nbsp; The Indian market of IoT is projected to expand to $49.82 billion by 2029. From smart payments to data-driven risk management, the IOT-fintech synergy is about reimagining financial services by creating personalization, security, efficiency, and accessibility for the consumers.&nbsp;&nbsp; The combination of IoT and fintech presents a unique opportunity that could transform the way customers bank, insure, invest, and transact financial opportunities.<h2 class="heading-node" id="srnqnt96b" style="text-align: justify">7. Buy Now, Pay Later (BNPL) will mature&nbsp;</h2>BNPL is expected to thrive in 2025, with the global market reaching $344 billion. Financial analysts attribute this growth to several factors, including the rising adoption of digital wallets and mobile payments, improved credit assessment models, increased regulatory oversight, and growing consumer demand for flexible and inclusive payment options.&nbsp;&nbsp;&nbsp; In India, the BNPL market is set to experience notable market expansion, estimated to reach $17.96 billion by the end of 2025. Surge in e-commerce, digital P2M payments, and increase in millennial and Gen Z consumer spending capacity would fuel this growth.&nbsp; While the competition among payment service providers is expected to drive innovation and accessibility, analysts suggest high interest rates and associated fees can potentially hinder growth and adoption.&nbsp;&nbsp; As the sector matures, it is likely to undergo consolidation, with market players focusing more on responsible lending practices. This shift will be driven by growing scrutiny from financial regulators, ensuring that BNPL services remain sustainable and consumer friendly.&nbsp;<h2 class="heading-node" id="jectuj0x1" style="text-align: justify">8. Open Banking to become more popular&nbsp;</h2>The state of open banking in 2025 looks incredibly promising and transformative. Open banking is set to become more popular in regions like the UK and Europe, making the global open banking payments transactions value increase to $330 billion by 2027.&nbsp;&nbsp; On the other hand, with financial institutions, regulators, and fintechs working together, the sector will see significant developments, enabling secured data sharing and collaboration between financial institutions, customers, and companies.&nbsp;&nbsp; In India, the open banking market is forecasted to reach a revenue of $7,485.8 million by 2030, at a CAGR of 29.8%. Further, financial analysts predict that artificial intelligence will play a crucial role in open banking by improving fraud detection, offering more accurate financial analytics, and providing personalized recommendations.&nbsp;&nbsp; &nbsp;<h2 class="heading-node" id="wpoc6ue18" style="text-align: justify">9. Neobanking sector will flourish&nbsp;</h2>2025 looks like a promising year with stellar growth and innovation for the neobanking market. Emerging trends such as the increasing adoption of AI, digital partnerships, shared banking, personal finance combined with market expansion, a digital-first approach, personalized services, and the integration of blockchain technology are expected to fuel this growth.&nbsp;&nbsp; The low-cost model for end customers, which offers extremely low monthly fees for banking services like minimum balance maintenance, withdrawals, and deposits, will propel the global neobanking market to reach $394.6 billion by 2026.&nbsp;&nbsp; While the neobanking market in India is set to reach $138.70 billion in 2025, its success is based on the adoption by millennials, micro, small, and medium enterprises (MSMEs), and those who have high income and earnings.&nbsp;<h2 class="heading-node" id="nttnp100z" style="text-align: justify">10. Gamification market is expected to boom&nbsp;</h2>Gamification is emerging as a pivotal trend in the fintech sector, significantly enhancing customer engagement and retention. This trend is expected to strengthen substantially in 2025, driven by increased adoption across various sectors, including banking and retail, as businesses leverage gamification to enhance customer experiences and foster loyalty.&nbsp;&nbsp; In India, the gamification trend is gaining momentum as fintech apps are adopting gamification strategies that resonate with local users. Elements such as rewards points, badges, and challenges motivate users to engage more deeply with apps. This not only enhances user engagement but also promotes financial literacy among the younger demographic.&nbsp; Want to stay ahead of these fintech trends?&nbsp;&nbsp; Explore how <a class="link" href="https://m2pfintech.com/contact-us/?activeKey=1">M2P Fintech</a> can help you leverage fintech for your business.&nbsp; <a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://m2pfintech.com/newsletter/" target="_blank" rel="noreferrer noopener">Subscribe</a>&nbsp;to our newsletter and get the latest fintech news, views, and insights, directly to your inbox. Follow us on&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://www.linkedin.com/company/m2pfintech/mycompany/" target="_blank" rel="noreferrer noopener">LinkedIn</a>&nbsp;and&nbsp;<a class="link fui-Link ___1idfs5o f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh ftqa4ok f2hkw1w fhgqx19 f1olyrje f1p93eir f1h8hb77 f1x7u7e9 f10aw75t fsle3fq f17ae5zn" href="https://twitter.com/m2pfintech" target="_blank" rel="noreferrer noopener">Twitter</a> for insightful fintech bytes curated for curious minds like you.

Top 10 Fintech Predictions for 2025

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2022/07/July-Blog-Banner-V3_1_Main-Banner.webp" alt="M2P Fintech" title="" width="100%" height="253">Artificial Intelligence (AI) has transformed the physics of financial services. It has altered centers of gravity, isolated vulnerable bonds, and changed traits that are imperative to building a successful business. The ability to leverage data to drive process and talent optimization, product performance, and personalized interactions is now considered critical to driving value and efficiency.By combining technology and robust data, AI delivers insight-driven decisions to resolve challenges. Financial services companies are becoming future-ready by harnessing the power of AI and Machine Learning (ML) to enhance operational efficiency, mitigate risk exposure, and customize product development, distribution, and customer experience.<blockquote class="block-node" id="ll5niu0xi">According to PWC reports, AI will boost global GDP up to $15.7 trillion by 2030 and 45% of total economic gains will arise from AI-driven product enhancements that stimulate consumer demand.</blockquote><h2 class="heading-node" id="fec6" style="text-align: justify">Growth Potential of AI in Finance</h2>Artificial Intelligence in the global financial technology market is expected to grow at <a class="link" href="https://www.prnewswire.com/news-releases/ai-in-fintech-global-market-to-reach-24-17-billion-by-2026--301615420.html">27.6% CAGR and reach $24.17 billion in 2026</a>. The growth projection is attributed to its ability to increase security and efficiency, personalize customer experience, automate services, and unlock several other growth opportunities.91% of financial services companies reported driving critical business outcomes by leveraging AI investments (Source: <a class="link" href="https://www.nvidia.com/content/dam/en-zz/Solutions/industries/finance/ai-financial-services-report-2022/fsi-survey-report-2022-web-1.pdf">Nvidia Report</a>). Here are the benefits they realized.<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2022/07/July-Blog-Banner-V3_1_Benefits-of-AI-Chart.webp" alt="M2P Fintech" title="" width="100%" height="253">AI-led data analysis and reporting surpass human intelligence to cut costs, accelerate revenue, and optimize service quality and product efficiency. It creates operational efficiency, predicts customer preference, detects fraud, and plans market expansions. Although some industry voices expect AI to replace 9% of all jobs by 2030, fintech companies are optimistic that AI will expand their workforce by 19%.<h2 class="heading-node" id="21fd" style="text-align: justify">How AI Transforms Banking &amp; Fintech</h2>Millennial and Gen Z customers prefer newer and faster technology over traditional systems. AI-based products and services enable FIs to meet the demands of today’s digital-age customers. It helps them enhance user experience through customized products and services.Listed below are sample AI-enabled services that global banks use to enhance customer experience.· Smile-to-pay facial scanning to initiate transaction· Micro-expression analysis with virtual loan officers· Conversational bots for basic servicing requests· Humanoid robots in branches to serve customers· <a class="link" href="https://m2pfintech.com/blog/5-reasons-why-banks-need-behavioral-biometrics/">Biometrics </a>to authenticate and authorize· Machine vision and natural language processing to scan and process documents· Machine learning to identify risk patterns and cybersecurity incidents· Real-time transaction analysis for risk monitoringAI technologies augment the overall customer experience by offering personalized recommendations, insights, and suggestions. In short, AI powers banks, insurers, asset managers, and fintechs to outperform peers, boost customer lifetime value, and increase market share.<h2 class="heading-node" id="fb07" style="text-align: justify">Top 6 Use Cases of AI in Fintech and Banking</h2>Over 75% of businesses use high-performance computing (HPC), machine learning, and deep learning for AI applications. While retail banking and capital markets benefit from deep learning, fintech firms rely on machine learning for the use cases below.<ol class="list-node" id="mglp0g4e6"><li>Transaction Fraud Detection</li><li>Conversational Chatbots</li><li>Robo-Advisors — Portfolio Optimization</li><li>Regulatory Intelligence</li><li>Credit Decisioning</li><li>Algorithmic Trading</li></ol>Transaction fraud detectionFinancial firms leverage AI and ML to identify, investigate, and mitigate transaction fraud, <a class="link" href="https://m2pfintech.com/blog/how-to-combat-money-laundering-2/">money laundering</a>, and <a class="link" href="https://m2pfintech.com/blog/crack-the-kyc-jigsaw-ease-onboarding-compliance/">KYC</a> discrepancies efficiently. Analyzing large datasets and user behavior, AI can decode risk factors and help reduce chargebacks, fake accounts, spam, account takeovers, and any other <a class="link" href="https://m2pfintech.com/blog/prevent-cnp-frauds-with-pci-3ds/">CNP</a> frauds in real-time. The fraud detection use case is critical in banking, card transactions, insurance, and lending platforms, to name a few.Conversational chatbotsChatbots and virtual agents fall under the conversational AI use case. They are quite different from conventional chatbots. By leveraging Natural Language Processing (NLP) and Machine Learning (ML) processes, they can understand customer intent, troubleshoot issues, and make small talk based on context. In financial companies, they can be used to collect customer information, deliver support, resolve queries, and redirect escalations to customer service representatives. These chatbots can be used across multiple channels and can deliver support via audio, video, and text.Robo-advisors — portfolio optimizationBuilding a strong financial portfolio is critical to maximizing returns on investments. Optimizing the portfolio helps balance the risk-to-reward ratio. AI-enabled Robo-advisors use predictive analysis to foresee future returns by analyzing the trends in the financial market. Investment companies can use this feature to make data-driven decisions that increase sales, optimize resource utilization, and improve operational capabilities. Robo-advisors are less priced options than conventional financial advisors. Even novices can drive value from investments with the help of Robo-advisors.Regulatory intelligenceThe banking and fintech sector must constantly update operations to stay compliant with governments and regulators. Using AI-led automation, compliance obligations are simplified, streamlined, and automated. The personalized, role-based dashboards provide regulatory intelligence for data-driven decisions at a lesser cost and time. Finance companies can stay up to date on compliance status and keep abreast with the latest regulations.Credit decisioning engineAI-based credit scoring can help expedite the assessment of creditworthiness and lending decisions. AI-led credit scoring models analyze real-time indicators such as current income, employment opportunities, and potential ability to earn, in addition to credit history, transaction patterns, work experience, and online behavior. This enables a sensitized and customized credit score assessment and inclusive lending decisions.Algorithmic tradingTrading is all about making profitable transaction decisions. AI-driven algorithmic trading uses pre-trade analytics and trading strategies to make lucrative transactions and groom efficient traders. Assimilating its own data using machine learning methods, AI-based algorithmic trading delivers real-time forecasts based on the analysis of price change patterns, currency values, global indices, raw materials, and other macro/micro indicators. It is super accurate in detecting market anomalies and helps reduce operational and trading risks.Now, these are not all. Apart from the use cases discussed above, AI can also help automate and expedite <a class="link" href="https://m2pfintech.com/blog/steps-in-credit-underwriting-why-using-an-alternative-source-of-data-and-behavior-metrics-will-be-of-help/">underwriting</a>, customer acquisition, and marketing optimization.To know more about the use of AI in banking and fintech, write to us at&nbsp;<a class="link au nr" href="mailto:business@m2pfintech.com" target="_blank" rel="noopener ugc nofollow">business@m2pfintech.com</a><a class="link" href="https://m2pfintech.com/newsletter/">Subscribe</a>&nbsp;to our newsletter and get the latest fintech news, views, and insights, directly to your inbox.Follow us on&nbsp;<a class="link" href="https://www.linkedin.com/company/m2pfintech/mycompany/">LinkedIn</a>&nbsp;and&nbsp;<a class="link" href="https://twitter.com/m2pfintech">Twitter</a>&nbsp;for insightful fintech tales curated for curious minds like you.

How is AI Changing the Financial Industry? Top 6 Use Cases in Fintech and Banking

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2022/06/Bring-to-me-Blog_31May21-2.webp" alt="M2P Fintech" title="" width="100%" height="358">Brian was a kid who loved bedtime stories, and every day his mother picked a new book for his bedtime story. One day, his mother read him the Japanese folktale “The Magic Mortar.” In this folktale, the magic mortar gave whatever its owner wished for until he says stop. Brian was mighty impressed and wanted one for him. The very next day, he saw his mother ordering groceries from an app, and he wanted to know how it works. When explained, Brian exclaimed that the app is the magic mortar he was looking for.Pretty interesting, isn’t it?Little did we realize that we all have a magical tool in our pockets to make our lives easier. We can enjoy the comfort of our home and make everything reach our front door.Yes, you are thinking it right. It is called — ‘Bring it to me’ or simply ‘to Me’ economy.<h2 class="heading-node" id="7a46" style="text-align: justify">So, what exactly is the ‘Bring it to me’ economy?</h2>The products and services are right at your doorstep instead of you getting in your car and going to the store every time. Starting right from fertilizers for your garden to vegetables for sumptuous cooking, you get every item online.Furthermore, ‘time’ has become a valuable currency and today’s customers are willing to bear the cost if it reduces their workload. Also, businesses have started realizing that they need to go a step beyond the digital realm to retain customers. So, front door delivery options have become the new normal.<h2 class="heading-node" id="836f" style="text-align: justify">The Role of Technology</h2>On the other hand, silently, our economy is moving ahead with a plethora of advancements and innovations. Technology is the leading player that drives the rapid economic growth of every country, including ours. With the cool trends springing up every day, shoppers expect more like same-day delivery and technology inclusion into their lifestyle.(i) Financial TechnologyFintech’s biggest contribution to this evolution is the digital money transfer services, as economic growth is highly connected with <a class="link" href="https://m2pfintech.com/blog/fintech-a-catalyst-for-financial-inclusion/">financial inclusion.</a> Digital wallets were a huge hit to pull many customers to ‘bring it to me’ economy lifestyle. They are widely accepted right from a street vendor to huge shopping centers, which make their transactions quicker. Mobile payment apps and gateways help in hassle-free and secure money flow during transactions. They also assist in tracking and analyzing the customer’s spending habits and preferences to bring matching products and advertisements.<a class="link" href="https://m2pfintech.com/blog/bnpl-the-rising-fintech-star/">BNPL (Buy Now Pay Later)</a> gives the customer the comfort of purchasing their desired products anytime with the ‘pay later’ option. Even Fintechs can now customize loans and insurance for the assistants helping in delivery service. Thus, fintechs helps businesses in building a friendly and personalized approach to the customers.(ii) Artificial Intelligence &amp; Machine Learning TechnologyMany grocers and FMCG companies have started incorporating AI &amp; ML technologies to capture their target segment. The virtual fitting room is the buzz during this pandemic. A customer can virtually try on clothes, accessories, shoes, or watches and check if it fits them in a 360-degree view. Even the shoppers can visualize a 3D furniture model to check if it fits their environment and space before making an order. So, there is a virtual solution to everything using artificial intelligence and augmented reality technologies in today’s digital world.Delivery models like Autonomous ground vehicles (AGVs) with lockers, droids, and drones are state-of-the-art in the regular delivery service with their super-fast and reliable features. AGVs with lockers boost the delivery system even on Sundays and late nights, where human effort is least expected. On the other hand, drones will help in reaching the product (up to 15kg) in the rural areas at a relatively high average speed. Droids are small autonomous vehicles that relatively travel slowly on the sidewalks for doorstep delivery. With these innovations, we are on the way to reduce human intervention in delivery systems.(iii) Blockchain TechnologyBlockchain technology guards the customers’ information involved in the process and avoids any digital breaches and other cyber-attacks due to its centralized nature. It builds the customers’ trust in their privacy and the security of digital assets. It also increases sales and streamlines payment processing with high efficiency.<h2 class="heading-node" id="22e8" style="text-align: justify">What awaits us in the future?</h2>The ‘Bring it to me’ economy has gained its popularity by bringing services home. Be it personal grooming or professional cleaning, or any other service; the customers are ready to avail them.Nowadays, people are redefining their satisfaction based on memorable experiences and interactions. Businesses need to put their heart and soul into providing their best customer experience to reinforce and market their brand digitally.Be it a simple emoji that brings a smile or the level of service offered, businesses are now in a race against themselves to turn their products and customers as their brand ambassadors because the end is not the supermarket shelves but the customer’s doorstep.<a class="link" href="https://m2pfintech.com/newsletter/">Subscribe</a>&nbsp;to our newsletter and get the latest fintech news, views, and insights, directly to your inbox.Follow us on&nbsp;<a class="link" href="https://www.linkedin.com/company/m2pfintech/mycompany/">LinkedIn</a>&nbsp;and&nbsp;<a class="link" href="https://twitter.com/m2pfintech">Twitter</a>&nbsp;for insightful fintech tales curated for curious minds like you.

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