Tuku ke tokangaʻi ʻe AI ʻa e ngāue pisinisi ʻoku toutou fakahoko,
mo e ngaahi fakangofua mo e ngaahi audit ʻi ha founga ngāue ʻoku ʻikai motuhi.

ʻOku liliu ʻe ARI ʻa e ngaahi kole ʻi he lea fakaenatula ki ha ngāue, fakahoko kinautolu ki ha fakangofua ʻa e tangata, pea pulusi ʻa e ngaahi ola.

Naʻe faʻu ʻe Clevi ʻa e ARI ke liliu ʻa e ngaahi pailate AI ko e ngaahi founga ngāue moʻoni ʻi he pisinisi.

Ko e ngaahi palopalema ʻoku kei toe hili hono ngāueʻaki ʻo e AI
PALOPALEMA 01

ʻOku ʻikai teitei aʻu ʻa e ngaahi sivi AI ki he ngaahi ngāue fakaʻahó

ʻOku hokohoko ke lahi ange ʻa e chatbots mo e ngaahi ʻahiʻahi AI, ka ʻoku ʻikai ke nau fakafehokotaki ki he ngaahi ngāue moʻoni, ʻoku nau nofo fakakolo pē. ʻOku puleʻi mavahevahe ʻa e meʻangāue takitaha, pea ʻoku tuʻu ʻa e ngaahi pilot ʻi heʻenau ʻikai maʻu ha pule fakalūkufua ki he kautaha.

ARI → ʻOmai ʻa e ngāue AI kotoa ki ha control plane pē ʻe taha
PALOPALEMA 02

ʻE ʻikai lava ke ke muimuiʻi pe siviʻi ʻa e meʻa kuo fakahoko ʻe AI

ʻOku ʻikai ha lekooti ʻo e ngaahi fakamatala naʻe ngāueʻaki ʻe he AI, founga naʻe aʻu ai ki ha fili, pe ko hai naʻá ne fakangofuá. ʻOku ʻai ʻe he meʻangāue AI ke faingataʻa hono ngāueʻaki ia ʻi he malumalu ʻo e ngaahi fiemaʻu ki he ngaahi tuʻutuʻuni fakalaó pe vakaiʻi ʻi loto.

ARI → Tauhi fakahangatonu ʻa e hisitōlia ʻo e fakahoko ngāue, fakamoʻoni ʻo e ngaahi fili, mo e ngaahi fiemālie
PALOPALEMA 03

ʻE lava ke fakahoko ʻe he AI ʻa e ngaahi ngāue ʻoku ʻi ai ʻa e fakatuʻutāmaki maʻolunga taʻe ʻi ai ha tokangaʻi

ʻI he taimi ʻoku lava ai ʻe AI ʻo ui ʻa e APIs, liliu ʻa e ngaahi system ʻi tuʻa, pe deploy ʻa e code, ʻoku faingataʻa ʻa e mapuleʻi. ʻE ʻikai lava ʻe he ngaahi kautaha ʻo tali ha system ʻoku fakahoko ʻa e ngaahi ngāue ʻoku māʻolunga ai ʻa e fakatuʻutāmaki taʻemaʻu ha toe vakaiʻi ʻe he tangata.

ARI → Kole ha fakangofua ʻa e tangata ki he ngāue kotoa pē ʻoku māʻolunga ai ʻa e fakatuʻutāmaki
PALOPALEMA 04

ʻOku mole mei he AI ʻa e tukunga fakalapotopotó

ʻOku ʻikai ʻave ki AI ʻa e ngaahi tohi fakaloto, ngaahi tuʻutuʻuni, ngaahi lea makehe, mo e hisitōlia ʻo e ngāue, ko ia kuo pau ke fakamatalaʻi ʻe he ngaahi timi ʻa e puipuituʻa ʻi he taimi kotoa pē. ʻOku ʻikai fakalahi ʻa e ʻilo fak 조직 ki ha koloa AI.

ARI → Puleʻi hokohoko ʻa e retrieval, manatu, mo e koniteksí
PALOPALEMA 05

ʻOku ʻikai lava ke muimuiʻi ʻa e ngāue AI ʻoku lōloa hono taimí

Ki he ngaahi ngāue AI ʻoku fakahoko ʻi ha miniti lahi pe lōloa ange, ʻoku ʻikai te ke lava ʻo sio ki he ngaahi tuʻunga ʻi he vahaʻa pe fakapapauʻi ʻa e feituʻu naʻe hoko ai ha hala. ʻOku ʻikai ko ha sipinga falalaʻanga ia ki he production.

ARI → Puleʻi ʻa e run kotoa ko ha ʻiuniti ʻoku lava ke muimuiʻi
Meʻa ʻoku fakaleleiʻi ʻe ARI
Ngaahi sivi AI kuo movetevete → Ko ha fokotuʻutuʻu ngāue ʻe taha
Mole ʻa e ʻātakai fakakautaha → ʻIlo mo e manatu ʻoku tuʻuloa
Ngāue fakahoko ʻoku ʻi ai hono fakatuʻutāmaki → Ngaahi pule ki hono fakangofua ʻe he tangata
ʻIkai ha hala vakaiʻi → Lava ke muimuiʻi kakato
Ngāue ʻoku fuoloa → Muimuiʻi ʻo e fakahoko ʻi he sitepu ki he sitepu
Ko e flow pē taha, mei he kole ki hono pulusi.
STEP 01

Maʻu ha kole

STEP 02

Ngaahi tuʻunga ʻo e loka

STEP 03

Fakahoko

STEP 04

Fiemālie ʻa e tangata

STEP 05

Ngāue ki tuʻa

STEP 06

Pulusi ʻa e ola

Ko e ʻuhinga ʻoku lava ai ʻe he ngaahi kautaha ʻo falala kia ARI

Ngaahi pule fakangofua

ʻOku ʻikai fakahoko ha ngāue ʻoku ʻi ai ʻa e fakatuʻutāmaki maʻolunga taʻe ʻi ai ha toe sivi ʻa e tangata. Fokotuʻu ʻa e ngaahi tuʻutuʻuni fiemālie ʻo fakatatau ki he faʻahinga ngāue mo e tuʻunga ʻatā ki he fakamatala, pea taʻofi fakahangatonu ʻa e ngāue ʻoku teʻeki fiemālieʻi.

Ngaahi lekooti ʻo e vakaiʻi

Siviʻi ʻa e ngāue kotoa pē ʻa e AI ʻi ha taimi pē. ʻOku lekooti ʻe ARI ʻa e hisitōlia kakato ʻo e fakahoko ngāué mei he kole ki he ola ʻi ha founga ʻe lava ke muimuiʻi ki ai ki he sivi fakaloto mo e talangofua ki he ngaahi tuʻutuʻuní.

Tānaki ʻo e ʻiló

Tokangaʻi ʻa e fakamatala fakakāinga ko ha koloa fakalakalaka. ʻOku tānaki ʻa e ngaahi tohi ʻi loto, hisitōlia ʻo e ngāue, mo e fakamoʻoni ʻo e ngaahi fili, koeʻuhí ke lava ʻa e AI ʻo ngāue mei he ʻilo ʻoku makehe ki hoʻomo kautaha.

Ngaahi lelei ʻi he tuʻunga ko ha coding agent
Endpoint ʻoku fakafou ʻi he server

ʻOku tokangaʻi ʻe ARI ʻa e ngaahi kole ki hono fakalele ʻo e koutí ʻi he sevesi, ko ia ʻoku ʻikai fiemaʻu ai ʻe he kau koloa ʻa e hū fakahangatonu ki he ʻātakai fakaleleʻangá.

Workspace Guard

ʻOku fakangatangata ʻe he ngaahi tuʻutuʻuni ʻa e ngaahi faile mo e ngaahi ʻōtometi ʻe lava ke hū ki ai ʻe ARI lolotonga ʻene ngāue ko ha Coding Agent.

Fakangofua ki he ngaahi ngāue ʻoku ʻi ai hano fakatuʻutāmaki

Ko e ngaahi fekau ʻoku fokotuʻu ʻe ARI ʻa ia ʻoku ʻi ai hono fakatuʻutāmaki lahi ʻoku fakahoko pē ia hili hono vakaiʻi ʻe he tangata, ʻo ʻoange ki hoʻo kautaha ʻa e pule fakahangatonu ki he lahi ʻo e automation.

Ngaahi ola ʻe lava ke fakapapauʻi

ʻOku tauhi ʻe ARI ʻa e fakamoʻoni ʻo e fakahoko ngāué mo e hisitōlia fakataha mo e konga kotoa ʻo e kouti, fakamatala, mo e ola ʻokú ne fakatupú, ko ia ʻoku maʻu maʻu pē ʻa e tupuʻanga ʻo e fakamatala.

ʻIloʻanga ʻo e faile mamaʻo

ʻOku ngāue ʻa ARI ʻi he ngaahi faile ʻi he ngaahi ʻātakai mamaʻó, kae tuku ʻe ha fakafehokotaki faingofua ki he kau ngāue ke nau vakaiʻi mo fakatonutonu ʻa e ngaahi ola.

Ngaahi pule ki hono hiki ʻo e manatu ki he system

ʻOku puleʻi ʻe he ngaahi tuʻutuʻuni ʻa e meʻa ʻe lava ke ako pe hiki ʻe ARI ki he memory lolotonga ha ngāue, ʻo taʻofi ai ʻa e fetoʻaki taʻekau ki ai ʻo e koniteksí.

Tauʻatāina mei he adapter

ʻOku ʻikai fakapipiki ʻa ARI ki ha LLM pe tuʻunga fakakouti pau. ʻOku kei hokohoko pē ʻa e ngaahi workflow ʻi he taimi ʻokú ke liliu ai ʻa e model pe ʻātakai fakahoko ʻoku ʻi lalo.

Malava ke fakalele ʻi he ngāue moʻoni

Muimuiʻi ʻa e ngaahi tuʻunga ʻo e ngāue, ngaahi hala, mo e hisitōlia ʻo e toe fakahoko ʻi he tuʻunga lolotonga ʻo e production, pea fakalele ʻa e kau agent AI taʻe ʻi ai ha black box.

Ngaahi meʻa ʻoku ngāueʻaki
Ngaahi ngāue fakafou ʻi he ngaahi fakamatala

Automation ʻo e ngaahi lipooti

01Tanaki mo vakaiʻi ʻa e ngaahi fakamatala
02Faʻu ha fakamafai fakataimi
03Vakili mo fakangofua ʻe he tokotaha ʻoku ʻaʻana
04Paaki mo tauhi ʻa e ngaahi fakamoʻoni audit
Ngaahi ngāue toutou fakahoko

Fakaʻotomēteki ʻo e workflow

01ʻIloʻi ʻa e meʻa ʻoku hoko pea fakamoʻui ʻa e flow
02Fakahoko ʻa e ngaahi ngāue ʻoku fakatefito ʻi he ngaahi tuʻunga
03Fakangofua ʻa e tangata ki he ngaahi meʻa ʻoku māʻolunga ai ʻa e fakatuʻutāmaki
04Lekooti ʻa e ngaahi ola pea fakahā
Ngaahi workflow fakalakalaka

Tuku atu ʻo e koutí

01Siviʻi mo vakaiʻi ʻa e kouti
02Fakahoko ʻa e ngaahi liliú pea fakalele ʻa e ngaahi sivi
03Fakangofua ʻe he taki
04Fakatahaʻi mo lekooti ʻa e deployment
ʻOku kehekehe fēfē ʻa ARI mei he ngaahi fili ʻoku ʻi ai?

ʻOku ʻikai ko ha ʻāseniti ʻe taha pē ʻa ARI. Ko ha tuʻunga pule ki he ngāue, hū ki he ngaahi meʻa, mo e audit ia ʻokú ne fakaʻatā ʻa e ngaahi ʻāseniti mo e ngaahi meʻangāue kehekehe ke nau ngāue malu ʻi he ngaahi ngāue fakaʻoonga ʻo e kautahá.

Fili ʻe taha Mālohi Fakangatangata Ko e meʻa ʻoku tānaki mai ʻe ARI
Chatbot lahi / RAG Fehuʻi mo tali vave pea mo e ngaahi tali mei he ngaahi tohi Fakahoko fakangatangata, fakangofua, ngaahi ngāue ki tuʻa, mo e pulusi Fakatahaʻi ʻa e kumi, fakahoko, fakangofua, mo e pulusi
Ngaahi tokoni fakakouti IDE
(Copilot, Cursor)
Fakaleleiʻi ʻa e ola ngāue ʻa e tokotaha fakalakalaka takitahá ʻOku faʻa mavahe mei he ngaahi ngāue fakapisinisi, ngaahi endpoint mamaʻo, mo e audit ʻOku ʻomi ʻe ia ʻa e ngāue fakakouti ki he ngaahi founga ʻo Clevi ki he hū atu, fakangofua, fakamoʻoni, mo e pulusi
Ngaahi ʻāseniti fakalelei pē
(OpenHands, Devin)
Fakaleleiʻi ʻo e ngaahi faile, hū ki he shell, sivi, mo e ngaahi ngāue coding ʻoku lōloa hono fakahoko ʻOku faʻa maʻu ʻe he ʻāseniti takitaha hono manatu, ngaahi meʻangāue, mo e tuʻunga ʻo e sesí ʻanautolu ʻOku ngāueʻaki ʻe ARI ʻa e vakapuna fakahoko pē, lolotonga ʻoku puleʻi ʻe he server ʻa e tuʻutuʻuni, manatu, ngaahi fakangofua, mo e ngaahi meʻa fakahoko
Ngaahi fakavaʻe ʻo e ʻākení
(LangGraph, AutoGen)
ʻOku ne fakafaingofuaʻi ki he kau fakatupu polokalama ke nau faʻu ha ngaahi haʻinga ngāue ʻa e agent ʻOku fiemaʻu ha fakahoko makehe ʻo e UI ngāue, ACLs, fakamatala fakalotoʻi ʻo e vāhefonua, mo e ngaahi laine tatali ʻo e endpoint ʻOku ne fakakakato kinautolu ʻaki ʻa e ngaahi ngāue fakapolokalama Clevi kuo ʻosi langa ki loto
RPA / ngaahi workflow tukufakaholo Otometiki ʻo e founga ngāue fakataha mo e fakatahaʻi ʻo e ngaahi system ʻOku vaivai ʻi hono kumi ʻo e ngaahi meʻa ʻoku ʻikai fokotuʻutuʻu, fakakaukau ʻi he lea fakaenatulá, mo e ngaahi liliu ki he koutí ʻOku fakatahaʻi ʻa e LLMs, AgentLoop, Toolset, Memory, mo e Code Agent mo e ngaahi workflow mahino

* ʻOku fakafofongaʻi ʻe he fakafehoanaki ko ʻení ʻa e ngaahi ʻulungaanga angamaheni ʻo e koloa. ʻE lava ke kehekehe ʻa e ngaahi malava pau ʻo fakatatau ki he tatau mo e faʻunga.

Ngaahi fehuʻi ʻoku faʻa fai
ʻIkai.
ʻOku ʻikai faʻu ʻe ARI ha agent foʻou. Ko ha control plane ia ʻokú ne fakaʻatā ʻa e ngaahi AI agents mo e ngaahi meʻangāue ʻoku ʻosi ʻi ai ke nau fakalele malu ʻi loto ʻi he ngaahi workflow ʻo e pisinisi.
ʻOku ne fakatahaʻi hoʻo ngaahi meʻangāue AI lolotonga ngāué, ngaahi coding agent mei tuʻa, mo e ngaahi polokalama ʻi loto ʻi ha run pē ʻe taha ʻoku lava ke muimuiʻi.
ʻOku fakafekauʻaki ʻe ARI mo e ngaahi sisitemi lolotonga ʻo fakafou ʻi he webhooks, APIs, mo e ngaahi fakaʻaiʻai ʻo e ngaahi meʻa.
ʻOku fakaʻehiʻehi ʻa hono fokotuʻutuʻu ʻoku ʻikai fakafalala ki ha adapter mei he loka ki ha platform, pea ʻoku fakafehokotaki ia ki he ERPs, ngaahi sisitemi ʻo e ngaahi tohi, ngaahi meʻangāue fakatahá, ngaahi repository ʻo e koutí, mo e ngaahi meʻa lahi ange.
ʻOku fakamatalaʻi ʻe he ngaahi tuʻutuʻuni ʻa e ngaahi makatuʻunga ki he fakangofua ʻo fakatatau ki he faʻahinga ngāue, tuʻunga hū ki he ngaahi meʻa, mo e tuʻunga fakatuʻutāmaki.
Hangē ko ʻení, ko e ngaahi ngāue ʻoku laka ʻi he ngaahi makatuʻunga kuo fokotuʻu ʻe hoʻomo kautaha — hangē ko hono liliu ha system ʻi tuʻa, hū ki ha ngaahi faile pau, pe laka ʻi ha tuʻunga paʻanga — ʻoku hiki fakahangatonu ki ha sitepu sivi ʻa e tangata.
ʻIo. ʻOku poupouʻi ʻe ARI ʻa e deployment ʻi he on-premises.
ʻE lava ke faʻu ia ke ʻoua naʻa ʻalu ha fakamatala fakapisinisi mo e hisitōlia ʻo e fakahoko ngāué ki tuʻa mei he netiueki ʻi loto.
ʻOku feʻunga lelei ia ki he ngaahi kautaha fakapaʻanga, ngaahi kautaha ʻo e puleʻanga, mo e ngaahi pisinisi ʻoku ʻi ai honau ngaahi tuʻutuʻuni maluʻi mālohi.
Ki he run taki taha, ʻoku tauhi ʻe ARI ʻa e maʻuʻanga ʻo e kole, fakamoʻoni ʻo e fakahoko, ngaahi ui ki he meʻangāue, hisitōlia ʻo e fakangofua, ngaahi ola ʻo e ngāue mei tuʻa, mo e output kuo paaki ʻi ha founga kuo fokotuʻutuʻu.
Te ke lava ʻo fakatahaʻi ʻa e ngaahi lekooti mo e ngaahi meʻangāue audit ʻi loto, pe vakaiʻi mo ʻave fakahangatonu kinautolu.
ʻOku fokotuʻutuʻu ʻa ARI ke lava ai ʻe he ngaahi timi pisinisí—kau ai ʻa e PMOs, palani ʻo e ngaahi ngāue, mo hono puleʻi ʻo e ʻiló—ʻo fakamatalaʻi mo fakalele ʻa e ngaahi workflow ʻi ha lea fakaenatula.
Te nau lava ʻo fakahoko fakameʻakanika ʻa e ngaahi ngāue tuʻo lahi ʻo e ngaahi tohi, ʻanalaiso, mo e fakangofua, ʻo ʻikai fiemaʻu ha fakalakalaka AI faingataʻa.
ʻOku fokotuʻutuʻu ʻe he kau ʻenisinia ʻo e platform ʻa e adapters ʻi he ngaahi feituʻu ʻoku fiemaʻu ai ʻa e fakataha fakatekinikalé.
ʻE lava ke kamata ha pailate ʻaki ha vahefonua ngāue ʻe taha pe founga pisinisi ʻe taha.
ʻOku fakafalala ʻa e vahaʻa taimi ki hono fakahoko ki he lahi ʻo e ngaahi polokalama ʻoku fakatahaʻi mo e lahi ʻo e kautahá; kātaki ʻo fakapapauʻi ʻa e taimi pau ʻi ha fakaʻekeʻeke ki hono fakahokó.

Ngāue ʻaki ʻa e AI ʻa ho kautahá ʻi he ngaahi ngāue moʻoni.

CLEVI

Lea mo e feituʻu

ʻOku fakaʻilongaʻi ʻa e ngaahi lea ne liliu ʻe he mīsini. ʻOku muimui ʻa e lava ke maʻu ki he kulupu saiti kuo pulusi.

Lea ʻe 136

Fakaongoongoleleiʻi

1

ʻĒsia fakahahake

7

ʻĒsia fakatongahahake

11

ʻĒsia fakatonga

18

ʻĒsia lotoloto

5

Hahake Lotoloto mo Kaukasia

10

ʻEulope fakahihifo mo ʻEulope fakatonga

16

Pilitānia mo ʻAealani

4

ʻEulope fakatokelau

10

ʻEulope Lotoloto mo Pālakani

14

ʻEulope fakahahake

5

ʻAfilika fakahahake

8

ʻAfilika fakahihifo mo ʻAfilika lotoloto

9

ʻAfilika fakatonga

8

Ongo ʻAmelika

5

ʻOsēnia

5