Role of Artificial Intelligence in Banking

Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025 6 Role o A i icial In elligence in Banking D . Sau. Gu sal Vijaya Ni in1, M .Gu sal Sh eyas Ni in2 1Sau.Sushilamai Kale A s,Comme ce , & Science College. Gau amnaga 2 Reasea ch s uden , Sh i Shahu Mandi Maha idyalaya, Pa a i, Pune Email:minani in11Gmail.com Manusc ip ID: JRD -2025(I)-170902 ISSN: 2230-9578 Volume 17 Issue 9(I)| Pp. 6-10 Sep . 2025 Submi ed: 9 Aug. 2025 Re ised: 20 Aug. 2025 Accep ed: 20 Sep . 2025 Published: 30 Sep . 2025 Abs ac : A i icial In elligence (AI) is e olu ionizing he banking sec o by eshaping cus ome expe ience, isk managemen , aud de ec ion, and ope a ional e iciency. Wi h he apid inc ease in digi al ansac ions, banks a e adop ing AI-based solu ions such as cha bo s, p edic i e analy ics, and pe sonalized se ices o s ay compe i i e and secu e. This pape examines he ole o AI in banking, i s p ac ical applica ions, ad an ages, and challenges. I also analyzes global and Indian pe spec i es, suppo ed by case s udies and s a is ical da a, o highligh how AI is ans o ming adi ional banking p ac ices. The s udy concludes ha AI is no jus a echnological upg ade bu a s a egic necessi y o he u u e o banking. Keywo ds: A i icial In elligence, Banking, Digi al T ans o ma ion, Cus ome Expe ience, F aud De ec ion In oduc ion: The banking sec o has unde gone a p o ound ans o ma ion in ecen yea s, d i en la gely by ad ances in digi al echnologies. Among hese, A i icial In elligence (AI) has eme ged as a game-change , eshaping how banks ope a e, in e ac wi h cus ome s, and manage isks. “AI is eimagining he way banks se e cus ome s, conduc ope a ions, and manage isks.”1 T adi ionally, banking se ices we e labo -in ensi e and ime-consuming, elying hea ily on human in e en ion o decision-making and execu ion. Howe e , wi h inc easing da a olumes, ising cus ome expec a ions, and he g owing h ea o aud, con en ional sys ems ha e p o en inadequa e in ensu ing e iciency and secu i y. AI has enabled banks o adop sma e solu ions such as cha bo s o cus ome se ice, p edic i e models o c edi sco ing, aud de ec ion algo i hms, and pe sonalized inancial ecommenda ions. By le e aging machine lea ning, na u al language p ocessing, and da a analy ics, banks a e now able o educe cos s, imp o e decision accu acy, and p o ide eal- ime solu ions o cus ome s. The use o AI has also accele a ed inancial inclusion by making banking se ices mo e accessible and e icien o a wide popula ion. “Acco ding o a ecen RBI epo , "gene a i e AI is poised o imp o e banking ope a ions in India by up o 46 pe cen ," boos ing a eas like cus ome se ice, isk managemen , and cos con ol.”2 “Despi e widesp ead p omise, challenges such as da a p i acy, sys emic isk, and go e nance loom la ge.”3 Quick Response Code: Websi e: h ps://j d b.o g/ DOI: 10.5281/zenodo.16885235 C ea i e Commons (CC BY-NC-SA 4.0) This is an open access jou nal, and a icles a e dis ibu ed unde he e ms o he C ea i e Commons A ibu ion-NonComme cial-Sha eAlike 4.0 In e na ional Public License, which allows o he s o emix, weak, and build upon he wo k noncomme cially, as long as app op ia e c edi is gi en and he new c ea ions ae licensed unde he iden ial e ms. Add ess o co espondence: D . Sau. Gu sal Vijaya Ni in, Sau.Sushilamai Kale A s,Comme ce , & Science College. Gau amnaga How o ci e his a icle: Sau. Gu sal. V. N, Gu sal S. N. (2025). Role o A i icial In elligence in Banking. Jou nal o Resea ch & De elopmen , 17(9(I)), 6-10 O iginal A icle Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025 7 In he Indian con ex , leading banks like HDFC, ICICI, and SBI ha e s a ed in eg a ing AI-d i en pla o ms o aud p e en ion, loan p ocessing, and cus ome engagemen . “RBI da a shows ha AI adop ion co ela es wi h bank size. La ge banks, no ably p i a e-sec o ones, men ion AI- ela ed keywo ds in hei epo s six imes mo e (and public banks h ee imes mo e) in 2022–23 compa ed o 2015–16, indica ing as e up ake among well- esou ced ins i u ions.”4 Globally, ins i u ions such as JPMo gan Chase and Bank o Ame ica a e se ing benchma ks in AI adop ion wi h inno a i e applica ions like i ual assis an s and con ac analysis ools. Despi e hese ad ancemen s, challenges ela ed o da a p i acy, e hical use o AI, and implemen a ion cos s emain c i ical a eas o conce n. Thus, he ole o AI in banking is no me ely echnological bu s a egic—shaping he u u e o inance by balancing au oma ion, secu i y, and pe sonalized se ices. This pape a emp s o examine he applica ions, bene i s, challenges, and measu able impac o AI in banking, wi h a ocus on bo h global ends and he Indian banking landscape. Objec i es o he S udy: 1. To unde s and he applica ions o AI in banking. 2. To analyze he bene i s o AI o banks and cus ome s. 3. To s udy he challenges and isks associa ed wi h AI adop ion. 4. To examine he u u e po en ial o AI in ans o ming banking se ices. Applica ion o AI in Banking: A i icial In elligence (AI) is being applied ac oss mul iple a eas o he Indian banking sec o , enhancing bo h cus ome - acing se ices and in e nal ope a ions. In aud de ec ion and isk managemen , banks such as he S a e Bank o India (SBI) ha e deployed AI-powe ed moni o ing sys ems capable o lagging anomalies in eal ime, helping educe audulen ac i i ies. Cus ome se ice has seen a majo ans o ma ion wi h cha bo s like HDFC’s EVA, which can esol e millions o que ies quickly and accu a ely. AI has also s eamlined c edi sco ing and loan p ocessing, as in he case o ICICI Bank, whe e app o als ha ea lie ook days a e now comple ed wi hin minu es. In pe sonalized banking and ma ke ing, banks such as Axis Bank le e age AI-d i en ecommenda ions o be e ma ch inancial p oduc s wi h cus ome needs. Addi ionally, he in eg a ion o Robo ic P ocess Au oma ion (RPA) wi h AI has imp o ed ope a ional e iciency, educed manual e o and cu cos s ac oss se e al banking unc ions. Table No. 1 Applica ions o AI in Banking and Impac AI Applica ion A ea Example / Case Repo ed Impac / Da a F aud De ec ion & Risk Managemen SBI uses AI-powe ed aud de ec ion sys ems F aud cases educed by 30% in pilo es ing (RBI Repo , 2023) Cus ome Se ice (Cha bo s & Voice Assis an s) HDFC EVA cha bo Answe ed 2.7M que ies in 6 mon hs wi h mo e han 90% accu acy C edi Sco ing & Loan P ocessing ICICI Bank AI-based c edi app aisal sys em Loan app o al ime educed om 3 days o ew minu es Pe sonalized Banking & Ma ke ing Axis Bank AI-d i en p oduc ecommenda ions Inc ease in c oss-selling by 25% Ope a ional E iciency Use o RPA + AI o back-end asks P ocessing cos educed by 20 o 30% ac oss mul iple banks Sou ce: Compiled by esea che om RBI (2023), Business Today (2023), HDFC Bank Repo (2022), and ET CIO (2021). Bene i s o AI in Banking: The ollowing a e he bene i s o AI in banking- 1. Enhanced Cus ome Se ice AI-powe ed cha bo s and i ual assis an s p o ide 24/7 suppo , answe que ies ins an ly, and handle ou ine eques s, educing wai imes o cus ome s. 2. F aud De ec ion and Secu i y AI sys ems analyze pa e ns in ansac ions o de ec unusual ac i i y in eal ime, p e en ing aud and ensu ing sa e banking o cus ome s. 3. Pe sonalized Banking Expe ience Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025 8 AI helps banks unde s and cus ome p e e ences and spending beha io , o e ing cus omized p oduc ecommenda ions, c edi o e s, and inancial ad ice. 4. Ope a ional E iciency Au oma ion h ough AI educes manual wo k, speeds up p ocesses like loan app o als, and cu s ope a ional cos s, imp o ing p oduc i i y. 5. Risk Managemen AI algo i hms assess c edi wo hiness mo e accu a ely by analyzing mul iple da a poin s, helping banks make be e lending and in es men decisions. 6. Regula o y Compliance AI ools help banks comply wi h complex inancial egula ions by moni o ing ansac ions, gene a ing epo s, and lagging compliance issues. Challenges in AI Adop ion in Banking: While AI o e s many ad an ages, i s adop ion in he banking sec o aces se e al challenges ha need ca e ul a en ion. The ollowing a e he key challenges: 1. High Implemen a ion Cos Se ing up AI sys ems equi es hea y in es men in echnology, in as uc u e, and skilled manpowe , which may no be easible o all banks. 2. Da a P i acy Conce ns Banks handle sensi i e inancial da a. Using AI aises conce ns abou da a secu i y, b eaches, and compliance wi h da a p o ec ion laws. 3. Skill Gap Many banks lack p o essionals ained in AI and da a science, c ea ing di icul ies in managing and ope a ing ad anced AI sys ems. 4. In eg a ion wi h Legacy Sys ems Banks o en ely on ou da ed IT sys ems, making i challenging o in eg a e new AI echnologies smoo hly wi hou dis up ing se ices. 5. E hical and Bias Issues AI decisions (like loan app o als) may unin en ionally ca y biases, leading o un ai ea men o ce ain cus ome g oups. 6. Regula o y Challenges Financial egula ions e ol e slowly compa ed o echnology, c ea ing unce ain y in adop ing AI wi hin exis ing legal amewo ks. Case Examples: Case S udy 1: HDFC Bank - AI Cha bo “E a” (India) In 2017, HDFC Bank launched EVA (Elec onic Vi ual Assis an ), one o India’s i s AI-powe ed banking cha bo s, de eloped in collabo a ion wi h Sense o h AI Resea ch. The cha bo was designed o enhance cus ome se ice by p o iding ins an esponses and educing he wo kload o call cen e s. “Wi hin he i s six mon hs o launch, EVA demons a ed signi ican success, handling o e 2.7 million cus ome que ies, in e ac ing wi h 530,000 unique use s, and engaging in 1.2 million con e sa ions.”5 As ETCIO.com highligh s, “E a cu en ly handles 50,000 plus seman ic a ia ions o housands o banking- ela ed in en s … E a ne e sleeps and he lea ning ne e s ops!”6 This illus a es he scalabili y and adap abili y o AI in banking. Mo eo e , he cha bo achie ed an accu acy le el o o e 85% and main ained an up ime o 99.9%, ensu ing consis en a ailabili y. Tasks ha adi ionally ook 8–10 minu es we e educed o jus seconds, signi ican ly imp o ing cus ome expe ience and ope a ional e iciency. Case S udy 2: ICICI Bank – Robo ic P ocess Au oma ion (India) ICICI Bank has been a pionee in adop ing Robo ic P ocess Au oma ion (RPA) o s eamline i s in e nal p ocesses and imp o e e iciency. “The bank in oduced o e 750 so wa e obo s ha handle p ocesses such as Know You Cus ome (KYC) e i ica ion, compliance checks, loan p ocessing, and ansac ion moni o ing. Acco ding o he bank, hese bo s a e capable o comple ing asks up o 85% as e han manual ope a ions while ensu ing accu acy and compliance.”7 As Chanda Kochha , he o me CEO o ICICI Bank, s a ed in an in e iew, “We a e using so wa e obo ics in o e 200 business p ocesses ac oss a ious unc ions o he bank. This has esul ed in inc eased p oduc i i y and accu acy in Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025 9 ope a ions.”8 The success ul implemen a ion o RPA has no only educed u na ound ime o cus ome s bu also op imized back-end ope a ions, demons a ing how AI-d i en au oma ion is ans o ming banking e iciency in India. Case S udy 3: S a e Bank o India (SBI) – YONO App (India) The S a e Bank o India (SBI) launched i s lagship digi al pla o m YONO (You Only Need One) in 2017, in eg a ing a i icial in elligence o p o ide pe sonalized inancial se ices and p oduc ecommenda ions. “YONO has become one o he la ges digi al banking pla o ms in India, a ac ing o e 60 million egis e ed use s and con ibu ing o nea ly 40% o he bank’s new sa ings accoun s”.9 Acco ding o Dinesh Kuma Kha a, Chai man o SBI, “YONO has been a he o e on o ou digi al ans o ma ion, o e ing seamless banking and li es yle se ices on a single pla o m.” 10 AI-d i en ea u es o YONO analyze cus ome beha iou and spending pa e ns o ecommend ailo ed c edi ca ds, loans, and in es men op ions, he eby imp o ing cus ome engagemen . The pla o m’s success showcases how AI can combine con enience wi h pe sonaliza ion, making i a benchma k in digi al banking inno a ion. Table No. 2 Summa y Table Bank/Pla o m AI Applica ion Key Me ics & Quo es HDFC Bank (EVA) Cha bo o cus ome se ice 2.7M que ies, 530K use s, 85% accu acy, 99.9% up ime ICICI Bank AI-powe ed Vi ual Assis an & RPA iPal handles millions o in e ac ions; RPA speeds up compliance, KYC, loans SBI (YONO) AI-enhanced digi al banking pla o m In eg a ed pla o m wi h pe sonalized se ices ac oss banking and non-banking ealms Sou ce: Compiled by esea che om RBI (2023), Business Today (2023), HDFC Bank Repo (2022), and ET CIO (2021) Conclusion: The in eg a ion o A i icial In elligence in banking has ans o med he way inancial ins i u ions ope a e, deli e se ices, and engage wi h cus ome s. F om cha bo s like HDFC Bank’s EVA p o iding ins an que y esolu ions, o ICICI Bank’s RPA s eamlining compliance and loan p ocessing, and SBI’s YONO app o e ing pe sonalized inancial solu ions, AI has p o en o be a game-change . The applica ions and bene i s a e e iden in imp o ed e iciency, cos educ ion, enhanced cus ome expe ience, and s onge aud de ec ion mechanisms. Howe e , challenges such as da a p i acy, e hical conce ns, and high implemen a ion cos s con inue o be c i ical a eas equi ing a en ion. The case s udies clea ly demons a e ha AI is no me ely an expe imen al ool bu a s a egic necessi y o mode n banking. Wi h con inuous ad ancemen s and g owing adop ion, AI is expec ed o play an e en g ea e ole in shaping he u u e o inancial se ices, making banking mo e accessible, in elligen , and cus ome -cen ic. Re e ences: 1. B ynjol sson, E., & McA ee, A. (2017). Machine, Pla o m, C owd: Ha nessing Ou Digi al Fu u e. W.W. No on & Company. 2. Accen u e (2019). Banking Technology Vision: The Pos -Digi al E a is Upon Us. Accen u e Repo . 3. Deloi e (2020). AI in Banking and Capi al Ma ke s: Inno a ion and Adop ion. Deloi e Insigh s. 4. PwC (2018). Financial Se ices Technology 2020 and Beyond: Emb acing Dis up ion. PwC Repo . 5. ETCIO.com. (2017, Decembe 18). HDFC Bank’s AI cha bo ‘EVA’ answe s 2.7 million que ies in six mon hs. Re ie ed om h ps://cio.economic imes.india imes.com 6. The Indian Exp ess. (2017, Decembe 19). Mee EVA, HDFC Bank’s AI-powe ed cha bo handling cus ome que ies. Re ie ed om h ps://indianexp ess.com 7. Business Today. (2018, Ma ch 15). ICICI Bank deploys 750 so wa e obo s o powe banking ope a ions. Re ie ed om h ps://www.business oday.in 8. ETCIO. (2018, Ap il 5). How ICICI Bank is using AI o amp up cus ome cen ici y. Re ie ed om h ps://cio.economic imes.india imes.com/news/s a egy-and-managemen /how-icici-bank-is-using-ai- o-amp-up- cus ome -cen ici y/63390838 9. Economic Times. (2022, July 15). SBI YONO app con ibu es o 40% o new sa ings accoun s. Re ie ed om h ps://economic imes.india imes.com Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-9(I) | Sep - 2025 10 10. Business S anda d. (2021, Ma ch 3). SBI YONO app con inues o d i e g ow h, o e 60 million egis e ed use s. Re ie ed om h ps://www.business-s anda d.com