The Cen aliza ion o Digi al Se ices h ough
A i icial In elligence: A New E a o Applica ion
In e ac ion
Kossi Sedj o Mawuli Dominique Houessou
Compu e Enginee ing S uden , Sob al, B azil
Oc obe 2025
Abs ac
The way humans in e ac wi h digi al applica ions has e ol ed apidly o e he pas ew
decades. Today, mos se ices— om banking o anspo a ion— equi e na iga ing be-
ween mul iple applica ions, each wi h i s own in e ace and pu pose. This agmen a ion,
while some imes e icien , o en leads o con ex swi ching and cogni i e o e load. Wi h
he ad ancemen o A i icial In elligence (AI), pa icula ly con e sa ional agen s, a new
pa adigm is eme ging: he cen aliza ion o digi al se ices. This a icle discusses how AI
may become he main ga eway o accessing digi al ecosys ems, enabling a uni ied, in elli-
gen , and pe sonalized expe ience. I explo es how applica ions could e ol e in o modula
se ices in oked by in elligen sys ems, analyzing echnical and secu i y challenges while
highligh ing he ans o ma i e po en ial o his model.
Keywo ds: A i icial In elligence, Digi al T ans o ma ion, Applica ion In eg a ion, Ope-
nAPI, Au oma ion, Fu u e o So wa e.
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1. In oduc ion
The way we in e ac wi h digi al applica ions has e ol ed d ama ically. Cu en ly, mos dig-
i al se ices—such as paymen s, anspo , o ood deli e y— equi e use s o swi ch be ween
mul iple applica ions, each handling a speci ic unc ion. While his model allows specializa ion,
i also c ea es ic ion and complexi y.
A use who wan s o ans e money mus open he banking app, au hen ica e, and na iga e
h ough se e al sc eens. To o de anspo a ion, hey mus open Ube o 99, inpu he des i-
na ion, and selec a ehicle. This epe i ion o ac ions ac oss di e en apps leads o cogni i e
a igue and agmen ed expe iences.
Wi h he eme gence o AI-d i en in e aces, especially con e sa ional sys ems, he in e ac-
ion model is shi ing. Use s inc easingly ely on in elligen agen s o pe o m asks on hei
behal , o en wi hou explici ly opening speci ic applica ions. This pape hypo hesizes ha in
he nea u u e, applica ions will be designed o be in oked by AI sys ems, ans o ming he
en i e use -se ice ela ionship.
2. The Cu en Applica ion Pa adigm
Unde he cu en pa adigm, digi al ecosys ems a e composed o siloed applica ions. Each
one ope a es independen ly, o en duplica ing use da a and equi ing epea ed au hen ica ion.
This app oach, while unc ionally e icien , limi s he in eg a ion and pe sonaliza ion o use
expe iences.
Acco ding o S a is a (2023), B azilian use s, on a e age, use mo e han 30 di e en apps
mon hly. The need o na iga e dis inc in e aces o ela ed asks c ea es ic ion and impedes
wo k low e iciency. As digi al ecosys ems expand, use s ace an inc easing o e load o no i i-
ca ions, se ings, and isual en i onmen s.
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3. The A i icial In elligence Re olu ion
In ecen yea s, gene a i e AI and con e sa ional sys ems ha e changed how humans in e -
ac wi h echnology. Tools such as Cha GPT, Copilo , Google Ba d, and oice assis an s now
allow use s o que y, plan, and execu e asks wi hou opening mul iple apps.
Acco ding o a 2025 epo by AllAbou AI, AI adop ion in digi al se ices inc eased om
15% in 2018 o 82% in 2024 wi hin echnology sec o s. McKinsey (2024) highligh s ha o ga-
niza ions in eg a ing AI-d i en wo k lows signi ican ly educed ope a ional ime and imp o ed
use sa is ac ion.
Use s a e now mig a ing om adi ional sea ch engines (Google, Bing) owa d AI-based
assis an s, seeking s uc u ed, con ex ualized, and pe sonalized answe s in a single en i onmen .
This ep esen s no jus a shi in in e ace—bu a s uc u al ede ini ion o how digi al se ices
a e accessed.
4. The Cen aliza ion o Se ices h ough AI
This a icle p oposes a pa adigm shi : u u e applica ions will no necessa ily be accessed
di ec ly by use s bu in oked by in elligen sys ems. Ins ead o na iga ing h ough mul iple
apps, use s will eques asks om an AI capable o iden i ying and execu ing he app op ia e
se ices.
Fo example, when a use says, “T ans e $100 o John,” he AI in e p e s he command,
selec s he ele an banking API, au hen ica es he use , and pe o ms he ansac ion au oma i-
cally. Applica ions will e ol e in o modula , disco e able se ices—each exposing i s capabil-
i ies h ough APIs accessible by in elligen agen s.
As PwC (2024) indica es, au oma ion and AI in eg a ion a e becoming cen al o business
ope a ions. Sys ems ha ail o o e machine- eadable in e aces isk obsolescence. Applica-
ions will need o expose s uc u ed endpoin s and in e aces designed no only o humans bu
o AI sys ems o consume au onomously.
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5. Implemen a ion P oposal: OpenAPI and AsyncAPI S an-
da ds
To ensu e ha digi al applica ions can be seamlessly in oked by AI agen s, adop ing open
documen a ion s anda ds such as OpenAPI and AsyncAPI is c ucial.
OpenAPI is a widely used speci ica ion ha de ines REST ul APIs in a machine- and
human- eadable o ma . I allows in elligen agen s—o any ex e nal sys em— o disco e a ail-
able ope a ions, equi ed pa ame e s, and expec ed esponses. Fo ins ance, a paymen se ice
using OpenAPI can clea ly expose i s “ ans e ” ope a ion, au hen ica ion me hod, and da a
schema, enabling AI sys ems o in e ac wi h i au onomously.
AsyncAPI, in u n, ex ends his concep o e en -d i en a chi ec u es, suppo ing asyn-
ch onous communica ion ia queues o message b oke s. This enables eal- ime in e ac ion
be ween in elligen sys ems and dis ibu ed se ices.
By adop ing hese s anda ds, de elope s ensu e in e ope abili y, scalabili y, and au oma ion
eadiness. Acco ding o he OpenAPI Ini ia i e (2025), documen ing APIs in open, s anda d-
ized ways accele a es inno a ion and acili a es secu e, au onomous in eg a ion by in elligen
sys ems.
6. Secu i y Conside a ions in API Documen a ion
Using OpenAPI o simila s anda ds does no mean ha an API becomes publicly accessible.
Secu i y depends on backend implemen a ion and p ope au hen ica ion mechanisms.
To p o ec da a and ansac ions, au hen ica ion schemes such as OAu h2, JWT, o API Keys
mus be de ined di ec ly in he OpenAPI speci ica ion. This way, he documen a ion clea ly
s a es which endpoin s equi e au hen ica ion and how agen s should ob ain au ho iza ion.
Fu he mo e, enc yp ed communica ion, a e limi ing, and access moni o ing emain essen-
ial. OpenAPI se es as a desc ip i e laye , while ue p o ec ion lies in secu e implemen a ion.
Swagge .io (2025) emphasizes ha secu i y de ini ions in he speci ica ion ensu e ha only au-
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ho ized agen s can access sensi i e endpoin s.
7. Challenges and Oppo uni ies
Cen alizing se ices h ough AI b ings signi ican challenges— echnical, e hical, and so-
cial. Da a p i acy, in e ope abili y, and legacy sys em adap a ion emain c i ical ba ie s.
Acco ding o PwC (2024), 67% o companies iden i y secu i y as a majo challenge in AI
adop ion, ollowed by p i acy (61%) and in e ope abili y (53%). Ye , his shi also c ea es new
oppo uni ies: in eg a ed use expe iences, educed cogni i e load, and eme ging ma ke s o
“AI-o ien ed APIs.”
De elope s and o ganiza ions mus balance au oma ion e iciency wi h anspa ency and
e hical go e nance. In his new landscape, success depends no only on echnology bu also on
us .
8. Conclusion
A i icial In elligence is ede ining how use s access and in e ac wi h digi al se ices. By
en isioning a u u e whe e applica ions a e designed o be in oked by in elligen sys ems, his
a icle highligh s a pa h owa d cen alized, luid, and in elligen use expe iences.
While s ill in de elopmen , his pa adigm signals a ans o ma i e di ec ion o digi al
ecosys ems. Sys ems ha ail o adap o AI-d i en o ches a ion isk obsolescence, while hose
ha emb ace open s anda ds and in elligen in eg a ion will de ine he nex e a o so wa e de-
sign.
Re e ences
[1] ALLABOUTAI. Global AI Adop ion Repo 2025: Is You Coun y on he Lis ? A ail-
able a : h ps://www.allabou ai.com/p -b / ecu sos/es a is icas-de-ia/
adocao-global-de-ia/. Accessed: Oc obe 7, 2025.
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[2] STATISTA. A e age numbe o mobile apps used mon hly in B azil in 2023. A ailable a :
h ps://www.s a is a.com/s a is ics/1107934/a e age-numbe -apps-used-mon hly-b azil/.
Accessed: Oc obe 7, 2025.
[3] MCKINSEY. AI adop ion and business impac . A ailable a : h ps://www.mckinsey.
com/ ea u ed-insigh s/a i icial-in elligence. Accessed: Oc obe
7, 2025.
[4] PWC. AI p edic ions and challenges. A ailable a : h ps://www.pwc.com/gx/
en/issues/da a-and-analy ics/a i icial-in elligence/ai-analysis.
h ml. Accessed: Oc obe 7, 2025.
[5] OPENAPI INITIATIVE. Abou OpenAPI Speci ica ion. A ailable a : h ps://www.
openapis.o g/. Accessed: Oc obe 7, 2025.
[6] SWAGGER.IO. Au hen ica ion and Au ho iza ion in he OpenAPI Speci ica ion. A ail-
able a : h ps://swagge .io/docs/speci ica ion/au hen ica ion/.
Accessed: Oc obe 7, 2025.
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