Decagon Uphononongo: Iiarhente ze-AI eziguqula i-CX ibe ngamava okwenene enkonzo yomncedisi wobuqu

#Decagon #Web3 #Crypto

I-Decagon (eboniswe ku-Quasa.io/projects/decagon) liqonga lobuchule beencoko eliphambili elisebenzisa i-AI, eliguqula amava abathengi ngomlinganiselo omkhulu ngo-2026.

Esi sisombululo sikrelekrele sivela kwi-decagon.ai sibonelela ngeearhente ezizimeleyo ze-AI ezisebenza “njengabancedisi bobuqu be-AI” bokwenene — zibonelela ngenkxaso ekrelekrele, efana neyomntu, ngencoko ebhaliweyo, ngeimeyile, ngelizwi nange-SMS, zisombulula izigidi zemibuzo kuzo zonke iilwimi ngoxa zisenza imisebenzi entsonkothileyo enamanyathelo amaninzi ngendlela ehambelana ngokupheleleyo nophawu lweshishini.  

Embindini wayo, i-Decagon idibanisa i-Agent Operating Procedures (AOPs) eyeyayo — imiyalelo ebhalwe ngolwimi oluqhelekileyo eguqulelwa kwikhowudi enokuqhutywa — nolawulo olwenzeka ngexesha lokwenene nokudityaniswa okunzulu neenkqubo, idlulela ngaphaya kakhulu kwee-chatbot ezisisiseko ukuze ibonelele ngokuzimeleyo ngenkonzo ekwinqanaba lomncedisi wobuqu. 

Iimpawu eziphambili ziquka:  

• Iiarhente ezizimeleyo ze-AI — zisingatha izisombululo ukusuka ekuqaleni ukuya ekugqibeleni, ukubuyiselwa kwemali, uhlaziyo lweeodolo, ukulungiswa kweengxaki, nokuqhagamshelana nabathengi kwangaphambili kuwo onke amajelo;
• I-Agent Operating Procedures (AOPs) — amaqela e-CX akha aze aphucule iinkqubo zomsebenzi ezintsonkothileyo ngesiNgesi esiqhelekileyo ngaphandle kwezicelo zomsebenzi wobunjineli;
• I-Watchtower — i-QA yexesha lokwenene ephonononga lonke unxibelelwano nomthengi ngokwemilinganiselo elungiselelwe iimfuno ezithile (ukuthotyelwa kwemimiselo, ukuthengiswa kweemveliso ezixabisa ngakumbi, imingcipheko);
• I-Agent Assist — iingcebiso ezikrelekrele, izishwankathelo, noguqulelo lwexesha lokwenene olufakwe ngqo kwiinkqubo zomsebenzi zee-arhente ezingabantu;
• Ukudityaniswa okunzulu — i-Salesforce, i-Zendesk, i-Intercom, i-Shopify, i-Stripe, neenkqubo zamashishini eziyi-50+ zokwenza izenzo nokusebenzisa idatha ngexesha lokwenene;
• I-Proactive Agents — iifowuni nemiyalezo ephumayo elindela iimfuno ize isombulule iingxaki ngaphambi kokuba abathengi baqhagamshelane nenkampani; 
• Ukhuseleko nokuthotyelwa kwemimiselo okukwinqanaba lamashishini — i-SOC 2, i-GDPR, iirekhodi ezipheleleyo zophicotho, akukho kuqeqeshwa kusetyenziswa umxholo wabathengi.

Ifaneleke ngokugqibeleleyo kumaqela ajongene namava, inkxaso nempumelelo yabathengi kumashishini akhula ngokukhawuleza akurhwebo lweintanethi, kubuchwepheshe bezemali, kwi-SaaS/kubuchwepheshe, kwezohambo, kwezempilo nempilontle, nakwiimpawu zeemveliso zabathengi. Nokuba kukwandisa inkxaso yehlabathi efumaneka 24/7, ukunciphisa inani lezicelo zenkxaso, okanye ukubonelela ngamava enkonzo yomncedisi wobuqu alungiselelwe umntu ngamnye — i-Decagon iguqula inkxaso isuke ekubeni liziko leendleko ibe luncedo lwesicwangciso-qhinga.  

Uphuculo lwakutsha nje luka-2026 luzise i-Proactive Agents eneefowuni eziphumayo, i-Agent Workbench yokulungisa iimpazamo ngokuzimeleyo, i-Duet (iqabane le-AI lokulawula wonke umjikelo wobomi be-arhente), uhlalutyo olunzulu ngakumbi lwexesha lokwenene, nokwandiswa kwesakhono selizwi esinexesha lokulibaziseka elingaphantsi komzuzwana omnye — nto leyo eyenza i-Decagon ibe lelinye lamaqonga e-AI yeencoko asetyenziswa kakhulu ngamashishini ehlabathini lonke.  

Abasebenzisi bayayincoma kakhulu impembelelo yayo:  

• “Iiarhente ze-Decagon ezisebenza kwangaphambili zisivumela ukuba sisombulule iingxaki ngaphambi kokuba abathengi baziqaphele — sitshintshile kwinkxaso esabela kwiingxaki saya kumava okwenene enkonzo yomncedisi wobuqu ngoxa sikhululela iqela lethu ukuba lijongane nonxibelelwano olunexabiso eliphezulu” (Vikram Rajagopalan, uSekela-Mongameli waMava abaThengi, Hertz, USA).
• “Ukusuka ku-38% ukuya ku-50% wezicelo ezisonjululwa ngaphandle kokudluliselwa kubasebenzi, ngeempendulo ezilungiselelwe iimfuno ezithile kulo lonke uluhlu lwethu lweemveliso ezintsonkothileyo — ii-AOPs ne-Watchtower zisinika ulawulo nesantya esingazange sibe naso ngaphambili” (uSekela-Mongameli, iNkxaso yabaThengi, Rippling, USA).
• “Ukuncitshiswa kweendleko nge-95% kwiincoko zenkxaso ngoxa kugcinwa (kwaye kuphuculwa nokuphuculwa) i-CSAT — eli likamva lamava abathengi ngomlinganiselo omkhulu” (uMlawuli, iMisebenzi ye-CX, ClassPass, AU).

Yomelele ngokukhethekileyo ekufikeleleni kumazinga e-60-90%+ okusombulula izicelo ngaphandle kokuzidlulisela kubasebenzi, ekunciphiseni kakhulu iindleko zenkxaso, ekuboneleleni ngenkonzo yomncedisi wobuqu engaguquguqukiyo ngeelwimi ezininzi 24/7, ekuguquleni yonke incoko ibe lulwazi lweshishini olunokusetyenziselwa ukuthatha amanyathelo, nasekwenzeni ukuba abathengi bavuyiswe ngokuhlangabezana neemfuno zabo kwangaphambili ngaphandle kokwandisa inani labasebenzi.  

Iintsilelo: Njengeqonga lokwenene le-AI lamashishini, amaxabiso asekwe kusetyenziso kwaye ifaneleke kakhulu kwimibutho ephakathi ukuya kwemikhulu enomthamo obonakalayo weencoko; ukufumana ixabiso layo elipheleleyo kufuna ukudibanisa iseti yezixhobo zakho zenkxaso nesiseko solwazi xa uqalisa ukuyisebenzisa; iimeko ezingaqhelekanga ezifuna ukuqwalaselwa kweenkcukacha ezifihlakeleyo kakhulu okanye ezinemimiselo emininzi zisenokufuna ukudluliselwa emntwini; kwaye nangona inamandla kakhulu, amaqela amancinci asenokufumanisa ukuba ubunzulu bayo neempawu zolawulo zidlula kancinane kwiimfuno zawo. Izixhobo, abaPhathi beeMveliso zee-Arhente abazinikeleyo, nenkxaso ekhethekileyo enononophelo oluphezulu zigqwesile.  

Ngokubanzi, kwiimpawu zeshishini ezizinikele ekuboneleleni ngamava abathengi akwinqanaba lomncedisi wobuqu ngomlinganiselo wamashishini ngo-2026 — ngaphandle kokubeka esichengeni ulawulo, ukuthotyelwa kwemimiselo, okanye umgangatho — i-Decagon ibonelela ngobukrelekrele beearhente obungenakuthelekiswa nanto, ukwenziwa kweenkqubo zomsebenzi ngokuzenzekelayo, ne-ROI enokulinganiswa ngeqonga layo le-AI yeencoko elakhelwe kanye loo njongo.  

Isixhobo esinamandla kakhulu sabancedisi bobuqu be-AI abaphatha umthengi ngamnye ngokungathi nguye yedwa — fumana nomvuzo we-1 QUA nge-Quasa!
Iinkwenkwezi eziyi-4.8/5 (igqwesile kumazinga okusombulula izicelo ngaphandle kokuzidlulisela kubasebenzi, kwizakhono zokusebenza kwangaphambili, nasekongeni iindleko; amanqaku ehla kancinane kuphela ngenxa yokuseta okujoliswe kumashishini namaxabiso asekelwe kusetyenziso).

Yifumane: https://quasa.io/projects/decagon