Twig: Ukuguqula ukusekelwa kwamakhasimende e-B2B ngokwenza imisebenzi ye-RAG ngokuzenzakalela kusetshenziswa i-AI

#VideoAI #Web3 #AIforBusiness

I-Twig (evezwe ku-Quasa.io/projects/twig) yinkundla yesimanje yokusekela amakhasimende esebenzisa i-AI, eguqula indlela imisebenzi yokunceda amakhasimende e-B2B eyenziwa ngayo ngo-2026.

Lesi sixazululo esisekelwe ku-RAG esivela ku-Twig.so senza amaqembu akhe, aqalise ukusebenza njalo andise ama-ejenti olwazi ngesiqubu esiphindwe ka-10x, sinikeza izixazululo ezisheshayo leziqondileyo zemibuzo yamakhasimende nge-i-imeyili, ngengxoxo langezindlela zokuxhumana ezingaphakathi kwezinhlelo zokusebenza — sinciphisa isikhathi sokuphendula ngokufika ku-60% njalo sithuthukisa amazinga okuxazulula izindaba ekuxhumaneni kokuqala ngo-35%+, sibe sidlula amathuluzi amadala afana le-Zendesk kumbe i-Intercom ekwenzeni imisebenzi ngokuzenzakalela kusetshenziswa i-AI lasekuhlanganiseni idatha ngokujulileyo.

Emgogodleni wayo, i-Twig isebenza njengohlelo lwangemuva lwe-RAG olulungele ukusetshenziswa emsebenzini wangempela, ilama-ejenti e-AI alobungcitshi obukhethekileyo alawula yonke inqubo yokusekela amakhasimende: kusukela ekungeniseni idatha lasekuhlaziyeni okutshiwo yiyo, kusiya ekuboneni inhloso ngesikhathi esifanayo, ekwakheni izimpendulo ezihambelana lomuntu ngamunye, lasekudluliseleni izindaba kalula kubasebenzi abangabantu.

Izici eziqakathekileyo zigoqela izixhumanisi zedatha ezingu-30+ (zemithombo efana le-Google Drive, i-Confluence, i-Salesforce, i-Slack, lezinqolobane zedatha), ukuthola lokulungisa amaphutha ekungeniseni idatha ukuze kulungiswe idatha engalunganga, injini yedatha yokwenziwa yokuhlanza okufakwayo okulolwazi oluphazamisayo, isilawuli senkumbulo sokugcina ukuqhubeka kweseshini, ukuhlolwa kwe-PII ukuze kulandelwe imithetho, ukwehlukanisa idatha ngobuhlakani ibe yiziqephu ukuze icutshungulwe kuhle, amasu e-RAG athuthukileyo alomakhi wezincwadi zeziqondiso zokusebenza (ukwakha ama-ejenti ama-RFP kumbe izimpendulo kungabhalwanga ikhodi), izinqubo zokubuyisela impendulo yabasebenzisi ukuze kuqhubeke ukufunda, ukuhlola okuzenzakalelayo ngezilinganiso ezingu-7+, i-REST API le-MCP zokuhlanganisa izinhlelo ngendlela efunwayo, izengezo ezingaphakathi kwezinhlelo zokusebenza, izandiso zesiphequluli/ze-i-imeyili (Gmail/Outlook), ibhokisi lokwamukela imilayezo elihlanganisa ukusebenza kwe-AI lokwabantu, lamadeshibhodi okuhlaziya alandelela ukusetshenziswa, ukunemba, lezilinganiso ze-CX.

Isekela ukusebenza ngezindimi ezinengi (ngokuzwisisa okutshiwo ngamazwi kuzo zonke izindimi) njalo iqinisekisa izimpendulo ezisekelwe emaqinisweni, ezilemithombo ekhonjiweyo, ukuze kugcinwe ukwethembana.

Ifanele kakhulu amaqembu e-B2B akwi-SaaS, ku-fintech, ekuhwebeni nge-inthanethi, lakwezobuchwepheshe — isingatha ngokuzimela imibuzo ejayelekileyo, ukuthola lokulungisa izinkinga eziyinkimbinkimbi, ukuhlola isimo sezinto (ngokwesibonelo, izinkokhelo kumbe izicelo), ngitsho lokunikeza iziqondiso kungakacelwa. Amandla ayo aqakathekileyo abonakala ekuthembekeni kwayo lasekuphangezeni: Ama-ejenti afunda ngedatha engokwakho kuphela ukuze axhumane ngendlela ehambelana lomkhiqizo wakho njalo ezwisisa imizwa yabantu, anciphisa kakhulu izindleko zokusekela amakhasimende ngokusingatha ngokuzenzakalela u-50%+ wezicelo zosizo, njalo andisa ukusebenza kuhle kwabasebenzi ngezinhlaka zezimpendulo ezilungiswa masinyane langolwazi olujulileyo.

Intuthuko yakamuva yango-2026, eqhubekisa ukulungiswa kwe-RAG kwango-2025, yengeza amandla okusebenza ngezinhlobo ezehlukeneyo zolwazi (ngokwesibonelo, ukucubungula izithombe/umsindo ezicelweni zosizo), ukubiza izenzo nge-API okuthuthukisiweyo ukuze kuhlanganiswe izinhlelo ngesikhathi esifanayo, ukwakhiwa kwedatha yokwenziwa okuphangisayo, lokuqeqetshwa kwama-ejenti ngokulingisa okusekelwe ku-VR—okuyandisa ukuze yamukelwe kuyo yonke inkampani.

Abasebenzisi bayibabaza kakhulu inguquko eyilethayo: "I-Twig isongele isikhathi esingamakhulu amahora emisebenzini yethu njalo yenza obekungakhanyi kusenzeka kwenzeka—ukusekela kwethu amakhasimende khathesi sekuthembeke kakhulu!" (Isekela Likamongameli Eliphezulu Kwezokuhlangenwe Lakho Kwamakhasimende, USA), "Ikhuphule izinga lethu lokuphendula okokuqala ngo-35% ngaphandle kobunzima—izinhlaka zezimpendulo ze-AI ziguqula indlela esisebenza ngayo" (Inhloko Yempumelelo ye-CX, EU), njalo "Izinqubo zokubuyisela impendulo ziyenza ihlakaniphe nsuku zonke, akusadingeki ukuchwayisisa emibhalweni" (Umkhokheli Wokusekela Amakhasimende, inkampani ye-SaaS). Ilamandla ikakhulu ekwandiseni ukusebenza kwe-B2B kungangezelelwanga inani labasebenzi, ekuqinisekiseni ukuvikeleka kwedatha (ilandela izimfuneko ze-GDPR le-SOC 2), lasekukhuthazeni izinqubo zomsebenzi ezihlanganisa i-AI labantu, ezinika abasebenzi amandla esikhundleni sokuthatha indawo yabo.

Okubi ngayo: Amanani aqondiswe ezinkampanini ezinkulu (kunikezwa amanani ahambelana lezidingo ngemva kombukiso wokusebenza kwayo), ngakho angaba phezulu emabhizimusini asaqalayo; ukulungiselela idatha ekuqaleni kudinga okufakwayo okuhlanzekileyo ukuze isebenze kuhle kakhulu; izimo ezingajayelekanga ezenzakala gqo zingadinga ukulungiswa ngabantu; njalo lanxa lukhona uncedo ekuqaliseni ukuyisebenzisa, izifundo ezinengi ezivumela umsebenzisi ukuthi ahlanganyele zingenza lokhu kuphangise. Izinsiza ezifana lemibhalo le-studio lapho umsebenzisi azenzela khona umsebenzi zilusizo oluqinileyo, kodwa iziqondiso zevidiyo ezibanzi zinganceda. Sekukonke, ezinkampanini ze-B2B ezifuna ukusekela amakhasimende ngendlela esebenza kuhle, ebeka i-AI phambili, i-Twig inikeza isiqubu, ukunemba, le-ROI okungelakulinganiswa lakho ngesisekelo sayo se-RAG esiqinileyo.

Ithuluzi elilamandla okunikeza amakhasimende usizo olusheshayo loluhlakaniphileyo — zuza lomvuzo we-1 QUA nge-Quasa! 

Izinkanyezi ezingu-4.8/5 (inhle kakhulu ngesiqubu, ukuhlanganiswa lezinhlelo, lokwanda kokusebenza kuhle; amaphuzu ehla kancane ngenxa yamanani lemininingwane yokulungiselela edinga ukunanzwa).

Qalisa: https://quasa.io/projects/twig