Home News Got It AI launches Agent Copilot to give AI assistance to customer service and sales

Got It AI launches Agent Copilot to give AI assistance to customer service and sales

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Obtained It AI, a conversational AI agency serving to enterprises, has unveiled Agent Copilot, an AI assistant for customer support and gross sales operations.

Agent Copilot combines generative AI with guard rails to empower brokers to rapidly and precisely entry info from advanced information sources, resulting in enhanced buyer interactions and response occasions, mentioned Peter Relan, chairman of Got It AI, in an interview with VentureBeat.

This answer makes use of Obtained It AI’s distinctive TruthChecker AI, designed to establish and forestall inaccuracies in responses generated by giant language fashions (LLMs).

Agent Copilot affords companies the flexibleness to customise their AI expertise by deciding on from a variety of LLMs, together with ChatGPT, GPT-4, Llama-2, MosaicML, and Flan-UL2. The selection of LLM might be tailor-made to satisfy the precise information base necessities and measured efficiency towards the related paperwork.

“You’re the pilot and the AI is the copilot,” mentioned Relan. “The massive classes are gross sales and advertising and marketing, banking and customer support.”

Additionally, Agent Copilot might be configured to combine with varied information sources, similar to PDFs, internet pages, paperwork, and displays, enabling complete assist for multi-turn dialogs primarily based on the compiled information base. For organizations with information privateness issues, the answer additionally helps on-premise set up of enterprise-specific fine-tuned LLMs.

“The dangers related to incorrect info are just too excessive,” mentioned Relan. “With Agent Copilot, we provide companies the chance to decide on essentially the most optimum LLM for his or her wants, guaranteeing the best stage of accuracy and effectivity of their buyer interactions.”

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Relan additionally highlighted the impression of Obtained It AI’s TruthChecker, which considerably decreases hallucination charges in responses generated by the bottom mannequin, leading to near-human stage accuracy for multi-turn dialogues in information retrieval situations.

“The copilot will help them reply questions, like whether or not you’ve got a deductible on your insurance coverage or you should use out-of-network docs or these issues,” Relan mentioned. “The agent usually has entry to a information database, or set of paperwork that may very well be internet pages. As an alternative of looking by way of all that, suppose you may floor it in a conversational manner. The copilot’s job is to go get the reply and are available again with it.”

That makes the agent extra productive, he mentioned.

“We’re seeing beta prospects deploy this as a result of the choice is longer calls,” Relan mentioned.

I requested if the pricing was getting decrease or was nonetheless below management. Relan mentioned the prices are beginning to transfer decrease for such queries.

And since Relan’s agency was geared toward stopping generative AI from “hallucinating,” additionally it is conscious of the “guardrails,” Relan mentioned. These must be in place to make the tech clear in order that if it does provide you with a incorrect reply, it received’t be like a “black field” the place you may’t inform the place it got here from or if it’s incorrect.

“We’ve got one thing we name a fact checker, which can truly examine the solutions and supply an audit path,” he mentioned.

Agent Copilot is constructed on Obtained It AI’s beneficial future-proof structure, Enterprise Massive Language Mannequin Structure (ELMAR), and is at present present process an open beta program with a number of enterprises for Agent Help use circumstances.

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The answer is predicted to be broadly accessible in September 2023. Its options embody information base connectors to customized information sources and paperwork, a alternative of LLMs, TruthChecker AI for hallucination detection, fluid conversational dialogues with mitigation and disambiguation, lively studying and fine-tuning for optimum accuracy, on-premises deployment with open-source LLMs, and seamless integration with different agent, CX, and CRM options.

Relan mentioned there are giant enterprises, monetary companies companies and insurance coverage companies in beta testing.

“They’re mainly saying with out the guardrails, we might not be contemplating this,” he mentioned.

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