Customer support is one of the more obvious areas for enterprises to deploy AI solutions — but done incorrectly, it can backfire in a big way, as we learned from the various Chevrolet car dealerships that chose to use a version of OpenAI’s GPT only to have customers begin tricking it into giving them discounts on cars down to $1.
But Ask-AI is taking a different approach, launching a new model agnostic enterprise AI assistant as a Chrome extension today called ASK that is designed to empower human customer support agents by presenting them with realtime contextual data about the customer they’re interacting with in the moment, answers to common questions, and knowledge about their company’s offerings and solutions — all right at their fingertips.
Founded in Tel Aviv, Israel in 2021 by entrepreneur Alon Talmor, and co-located with a major office in Toronto, Canada, the 40-person strong firm is also announcing today it has raised $11 million in Series A funding led by Leaders Fund and backed by seed investors including Vertex Ventures, State of Mind Ventures, GTMFund, and others. In total, counting its earlier seed round, Ask-AI has raised more than $20 million.
“We believe there’s going to be a big market for sidekicks and co-pilots at the intersection of what you [the enterprise user] are doing right now — let’s say a repetitive task such as answering email, answering a customer support ticket, or just doing your day job in your CRM [customer relationship management software] — and with company data and AI,” Talmor told VentureBeat in an exclusive interview in advance of the announcements.
Talmor described how the new ASK sidekick works: as a Chrome browser extension that appears a sidebar and “opens automatically, depending on what you do,” to provide apps and information relevant to whatever work you’re doing at that moment.
ASK “not only make[s] you do what you do faster — providing answers for emails and tickets — but also doing it better and more effectively.”
As an example, Talmor noted that for customer service and support personnel, ASK provides a “360 view of what we know” about every given customer who has interacted with the business prior and is seeking support from an agent.
The information ASK provides includes “all the relevant past interactions and highlights about what’s interesting about this customer — is their renewal coming up? Are they a churn risk?”
In addition, ASK can perform “actions around generative AI, for instance, answering with the tone of the company,” via email or customer chat drafts, “answering questionnaires, performing a support audit, there’s a wide variety of applications we can really craft very fast and add to this [ASK] sidekick platform to bring value.”
Importantly, the ASK AI sidekick doesn’t act on its own: It’s up to each human customer support agent to accept or use the information and responses it provides, relying on their training and judgement to avoid the kind of errors and lofty promises of fully automated customer support chatbots.
Talmor also emphasized Ask-AI’s commitment to reducing hallucinations and embodying his company’s values of creating “very high accuracy, high security solutions.”
He said Ask-AI does this, and differentiates itself from other rivals in the customer support chatbot space by performing “real pre-processing and summarizing of the [customer] company data” including understanding unique internal company jargon.
Ask-AI also supports a wide range of leading AI models for powering its offerings, including OpenAI’s GPT-3.5/4, Google Gemini, Meta’s open source Llama and its variants such as Alpaca.
A major advantage of the entire Ask-AI offering — which also includes a glanceable, information-rich realtime dashboard called “MosAIc” — is that it can be connected to more than 50 other popular enterprise applications in common use, including Salesforce, Zendesk, Confluence, and Slack, digesting and analyzing the data from these sources — albeit with the enterprise customer’s permission.
This means Ask-AI’s customers do not need to consider switching or abandoning enterprise software they already rely on, pay for, and that works well for their business needs.
Instead, Ask-AI’s sidekick and dashboard simply extend and enhances the data already being created and stored by these other third-party apps and tools.
Discussing Ask-AI’s MosAIc dashboard, Talmor told VentureBeat that “you can visually see what are the recurring issues and problems not only in your customer tickets, but also in, for example, Slack conversations internally…there’s a lot of chatter in company channels and you want to capture that to raise effectiveness in the company.”
Ask-AI believes the result of using both products — its dashboard and ASK sidekick — is a dramatic enhancement in efficiency across various departments, from customer support to sales, by providing key insights and actionable solutions in real-time.
Though initially targeting customer support agents with its ASK sidekick, Ask-AI also seeks to provide value to other enterprise employees, such as analysts and executives, who may find tremendous value from the dashboard.
This end-to-end solution has shown tangible results across Ask-AI’s diverse clientele, which includes names like Monday.com, Callrail, and Yotpo, achieving metrics such as a 20% reduction in time-to-resolution for support tickets.
Talmor’s previous AI venture BlueTail was acquired by Salesforce, Ask-AI has been on a mission to integrate generative AI into the fabric of enterprise operations.
Talmor has a PhD in natural language processing, and his team includes other experiences professionals and academics including Prof. Jonathan Berant, Josh Solomon, Dafna Lavran, and Eyal Medar.
With its new funding, the company plans to double in size over this year.
Ask-AI’s recent funding and its innovative approach to integrating generative AI into enterprise workflows may help it stand out among an increasingly crowded space of new enterprise-grade generative AI offerings.
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Customer support is one of the more obvious areas for enterprises to deploy AI solutions — but done incorrectly, it can backfire in a big way, as we learned from the various Chevrolet car dealerships that chose to use a version of OpenAI’s GPT only to have customers begin tricking it into giving them discounts on cars down to $1.
But Ask-AI is taking a different approach, launching a new model agnostic enterprise AI assistant as a Chrome extension today called ASK that is designed to empower human customer support agents by presenting them with realtime contextual data about the customer they’re interacting with in the moment, answers to common questions, and knowledge about their company’s offerings and solutions — all right at their fingertips.
Founded to empower human agents and employees with AI
Founded in Tel Aviv, Israel in 2021 by entrepreneur Alon Talmor, and co-located with a major office in Toronto, Canada, the 40-person strong firm is also announcing today it has raised $11 million in Series A funding led by Leaders Fund and backed by seed investors including Vertex Ventures, State of Mind Ventures, GTMFund, and others. In total, counting its earlier seed round, Ask-AI has raised more than $20 million.
“We believe there’s going to be a big market for sidekicks and co-pilots at the intersection of what you [the enterprise user] are doing right now — let’s say a repetitive task such as answering email, answering a customer support ticket, or just doing your day job in your CRM [customer relationship management software] — and with company data and AI,” Talmor told VentureBeat in an exclusive interview in advance of the announcements.
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ASK is AI on the side whenever it’s needed
Talmor described how the new ASK sidekick works: as a Chrome browser extension that appears a sidebar and “opens automatically, depending on what you do,” to provide apps and information relevant to whatever work you’re doing at that moment.
ASK “not only make[s] you do what you do faster — providing answers for emails and tickets — but also doing it better and more effectively.”
As an example, Talmor noted that for customer service and support personnel, ASK provides a “360 view of what we know” about every given customer who has interacted with the business prior and is seeking support from an agent.
The information ASK provides includes “all the relevant past interactions and highlights about what’s interesting about this customer — is their renewal coming up? Are they a churn risk?”
In addition, ASK can perform “actions around generative AI, for instance, answering with the tone of the company,” via email or customer chat drafts, “answering questionnaires, performing a support audit, there’s a wide variety of applications we can really craft very fast and add to this [ASK] sidekick platform to bring value.”
Importantly, the ASK AI sidekick doesn’t act on its own: It’s up to each human customer support agent to accept or use the information and responses it provides, relying on their training and judgement to avoid the kind of errors and lofty promises of fully automated customer support chatbots.
High-security, high-accuracy, low hallucination rate
Talmor also emphasized Ask-AI’s commitment to reducing hallucinations and embodying his company’s values of creating “very high accuracy, high security solutions.”
He said Ask-AI does this, and differentiates itself from other rivals in the customer support chatbot space by performing “real pre-processing and summarizing of the [customer] company data” including understanding unique internal company jargon.
Ask-AI also supports a wide range of leading AI models for powering its offerings, including OpenAI’s GPT-3.5/4, Google Gemini, Meta’s open source Llama and its variants such as Alpaca.
AI products that connect to and digest data from existing apps — no switchover needed
A major advantage of the entire Ask-AI offering — which also includes a glanceable, information-rich realtime dashboard called “MosAIc” — is that it can be connected to more than 50 other popular enterprise applications in common use, including Salesforce, Zendesk, Confluence, and Slack, digesting and analyzing the data from these sources — albeit with the enterprise customer’s permission.
This means Ask-AI’s customers do not need to consider switching or abandoning enterprise software they already rely on, pay for, and that works well for their business needs.
Instead, Ask-AI’s sidekick and dashboard simply extend and enhances the data already being created and stored by these other third-party apps and tools.
Discussing Ask-AI’s MosAIc dashboard, Talmor told VentureBeat that “you can visually see what are the recurring issues and problems not only in your customer tickets, but also in, for example, Slack conversations internally…there’s a lot of chatter in company channels and you want to capture that to raise effectiveness in the company.”
Ask-AI believes the result of using both products — its dashboard and ASK sidekick — is a dramatic enhancement in efficiency across various departments, from customer support to sales, by providing key insights and actionable solutions in real-time.
Though initially targeting customer support agents with its ASK sidekick, Ask-AI also seeks to provide value to other enterprise employees, such as analysts and executives, who may find tremendous value from the dashboard.
This end-to-end solution has shown tangible results across Ask-AI’s diverse clientele, which includes names like Monday.com, Callrail, and Yotpo, achieving metrics such as a 20% reduction in time-to-resolution for support tickets.
Prior success with enterprise-grade AI
Talmor’s previous AI venture BlueTail was acquired by Salesforce, Ask-AI has been on a mission to integrate generative AI into the fabric of enterprise operations.
Talmor has a PhD in natural language processing, and his team includes other experiences professionals and academics including Prof. Jonathan Berant, Josh Solomon, Dafna Lavran, and Eyal Medar.
With its new funding, the company plans to double in size over this year.
Ask-AI’s recent funding and its innovative approach to integrating generative AI into enterprise workflows may help it stand out among an increasingly crowded space of new enterprise-grade generative AI offerings.
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Author: Carl Franzen
Source: Venturebeat
Reviewed By: Editorial Team
