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Lisa Popovici and Andrei Negrau, co-founders of Siena AI.Image Credits:Siena AI
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Merchants want to give their customers the good experience potential . However , when a delivery does n’t get there on time , or an purchase order is wrong , you have to work with customer serve to get a trouble resolved .
Adding artificial intelligence to the client service level enabled merchant to apply chatbots or other technical school to address well-fixed requests . Chatbots often follow a handwriting , which can run to some frustrating back - and - forth before customers make up one’s mind to mouth with a human .
Siena AI ’s co - founder Andrei Negrau and Lisa Popovici believe the good of both worlds can occur — an AI client service agentive role with the empathy of a human . They have been in the Es - commerce blank space for eight eld , most of late build software system for Shopify merchandiser .
“ You have the chatbots on one bridge player , and everyone hated chatbots when we were really appear into the experience . Then there was concern appendage outsourcing , ” Negrau told TechCrunch . “ When we started Siena , the premise was that there was no solution that could seamlessly automatize everything like an agent . ”
The duet developed an AI - power customer support resolution that might be a machine , but realize circumstance and responds with empathy like a human .
Injecting AI , often as conversational AI , into the customer help industry , is not new . Companies likeAda,8Flow.aiandNeuron7 , to name a few , have developed approaches to making client serve well for both company and their customer .
However , Negrau and Popovici say Siena stands aside in three ways : First is its AI Personas feature that enables merchants to make one part that address their marque ’s unique phonation and style on societal medium , while utilizing a more professional persona for email .
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“ This was one of merchant ’s biggest business organization — they require to implement AI , but do n’t want to recede their brand voice which takes years to ramp up , ” Popovici told TechCrunch .
They also developed Siena to juggle multiple tasks in the same interaction . For example , pulling parliamentary law data and asking for production pic while also changing the transportation savoir-faire and transmit out a replacement mathematical product . Third is the caller ’s cognitive abstract thought - based engine , or CORE , for considering the best resolution path to a complex customer service problem .
investor are keen on Siena , too . A group , including Sierra Ventures , Pari Passu Ventures , Spacestation Investments , Village Global , The Council and OpenSky Ventures , pumped $ 4.7 million in seed financial support into the company recently .
The cobalt - founders plan to use the capital on hiring , go - to - market capableness and technology development to get its solvent to become a fully autonomous agentive role for client over the next 12 months . Siena is also launching a watch hub for customers called Siena AI Academy , when they can more well integrate AI into their client service workflows .
“ Our flagship product , the autonomous agent , is live on to be in a with child view by the 2d quarter of next year , ” Negrau said . “ We know what ’s not turn , and we will continue to help guide our customers toward what we bonk is work . ”
leveraging AI to optimize customer service termination