Enterprise AI: How AI is transforming the face of customer care

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The hype around artificial intelligence is real. With new voice assistants, chatbots, and smart device solutions for enterprise support springing up constantly, it’s easy to get lost in the noise. But is AI all it’s cracked up to be? For enterprise customer care, it certainly is. AI technology is continuing to transform customer service and improve customer experiences for the enterprise, and there is no expectation of it slowing down.

Nowadays, consumers expect efficiency and accessibility when interacting with a brand. Thanks to the increasing pace of innovation in technology and digital communication channels, they also expect instantaneous results when searching for information. This is where the evolution of AI and machine learning come into play; these technologies have the capability of listening to customer intents and search queries to provide smarter and more relevant search results. The more a customer inputs search queries on a company website, or enlists a chatbot to find a solution to a problem, the smarter the underlying AI gets, providing better and more accurate results every time.

It’s no surprise that Gartner predicts chatbots will power 85% of all customer service interactions by the year 2020. IDC also reports the largest cognitive and AI spending totals are led by automated customer service agents, and are expected to reach a total of $2.4 billion by the end of 2018. As cognitive and AI spending continues to grow, this is only the beginning of the digital transformation of customer care. Below we discuss what organizations are doing today to stay ahead of the curve, and how they differentiate themselves amongst their competitors through the power of AI-based digital care solutions.


Enterprise AILarge and forward-thinking enterprises are already harnessing the power of AI to improve their customers’ experience on their sites, like Virgin Mobile USA and Digicel Group. Through the use of conversational search, mobile chatbots, enterprise virtual assistants, and AI-enabled IVR, these companies use AI-based digital care to streamline their processes and efficiently answer customer care questions faster and more accurately than ever before. They solve problems and provide better customer service exactly where their customers prefer to converse – either online through a mobile chat or search query, or on the phone through an AI-enabled IVR system.

These companies are also utilizing the power of Wysdom’s Cognitive Data Exchange. All of their digital support channels are integrated with a training data corpus that is updated with new questions and customer intents on a daily basis. Since there is only one data corpus that is continuously learning, these organizations are able to provide consistent customer service across all of their support channels.

Advancements in machine learning and artificial intelligence make it much more accessible and cost-effective for organizations to take advantage of AI-based digital care solutions to enhance their customer experiences. New use cases for the technology is helping to speed up adoption. As organizations look for new ways to stand out amongst the competition, deploying an AI-powered digital care solution is proving to be a clear differentiator. We suggest working with an enterprise virtual assistant and chatbot provider that can deploy a full-service, enterprise virtual assistant over social, web chat, and IVR, and can integrate these channels through one central data corpus to get the most value.


As we stand at the forefront of AI-based digital care, the industry and solution capabilities will only grow over time. In fact, IDC expects the AI industry to grow to $52.2 billion by 2021. At Wysdom, we predict digital care use cases will extend to include and disrupt more and more industries, such as banking, insurance, and travel. Wouldn’t it be great if your organization could provide a seamless customer support experience through all digital channels without actually involving a live agent, or reduce call volumes and wait times in the call center? With 38 percent of consumers believing AI will improve customer service, we are excited for the future of AI-based digital care and the impact it will have on both the enterprise and customer experience.

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Data Scientist

As a Data Scientist, your day-to-day will involve writing queries, building dashboards, and preparing analytical reports about product performance for our clients and the Wysdom.AI team.  You will work with SQL, Tableau, and Python and ML Frameworks/libraries (among other tools) to create stunning visuals showing how Wysdom.AI is making their customers’ experience even better.

Implementation Engineer

As an Implementation Engineer you will be responsible for the solution integration of an enterprise grade conversational AI experience from a technical perspective. You will work closely with the lead solutions architect and be the technical face of the implementation team and lead the customer through the entire implementation cycle. You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.

Solution Architect

As a Solutions Architect within the Client Services team, you act as trusted advisor, responsible for the technical requirements and end to end solutions integration of Wysdom cognitive services within the client’s environment.  You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.

Cognitive Data Specialist

As a Cognitive Data Specialist, you will be responsible for the performance of the AI and quality of the corpus and will focus primarily on the VA training.  You will work with the client as required to ensure corpus is performing in an optimal manner.

Conversational Experience Designer

As a Conversational Experience Designer, you will be responsible for the designs of the overall customer experience, including the end-to-end dialog flows & journeys of the solution ensuring  design leverages  UxD best practices for optimal customer experience.

Conversational AI Specialist

As a Conversational AI Optimization Specialist, your responsibility will be to help drive the success of our solution for our clients. This involves building conversation flows, performing AI training, and partnering with clients to enhance their deployments.

Conversational AI Lead

As a Conversational AI Lead, you will be responsible for leading all Conversational AI program activities.  You will work with all team members to ensure deliverables are completed on time, with high quality and exceeds client expectations and goals.

Program Director

Responsible for the overall success for the client, including the end-to-end delivery and optimization of the solution, you will manage the sales process from pillar to post, including technical and commercial proposals, pipeline management, sales forecasting, and contractual documentation.

David Trotter, Wysdom

David Trotter

SVP, Sales & Marketing

David has 30 years of global sales leadership experience as a collaborative leader who believes in a strong team concept within sales and marketing organizations. David has spent many years working with growth companies and enjoys being face to face with customers and partners to create solutions that have a lasting effect on the customer’s business environment. 

Prior to joining Wysdom, David was the Vice President, Sales at Scalepad, and previously spent 11 years as Vice President for Latin America and Asia Pacific for Absolute Software. He also held senior sales management positions at GE Capital and Clevest.  

Michel Benitah

VP, Optimization & Delivery

Michel has 20 years of experience in leading the successful delivery of Conversational AI and Natural Language Customer Care solutions to some of the largest financial, telco, healthcare, utilities, and retail enterprises throughout North America. 


Prior to joining Wysdom, Michel spent 20 years at Nuance Communications, holding senior management and leadership positions within the enterprise division, most recently as director of the Toronto office and professional services team.

Frederic Lam

SVP, Sales

Fred brings in 25 years of international experience in sales and business development across North America, the Caribbean, Asia-Pacific, Europe, and the Middle-East.


Prior to Wysdom.AI, he held sales leadership positions at Oracle, Redknee, and Movius/Glenayre, successfully growing revenues in both large and small organizations. Fred has also been involved in the start-up community in the earlier stages of his career as an Investment Manager with SP Capital and was an alternate director on a few investee companies.

Karen Chan

Chief Engineering Officer, Co-Founder

With 20 years of experience in software and mobile, Karen has held senior technical roles at 5 startups, including Wysdom.AI, Clickfree, Mobile Diagnostix (HP), Teamatic, and Virtualthere.

Karthik Balakrishnan

Chief Technology Officer

Karthik has over a decade of hands-on, proven global expertise in emerging technologies and implementing intricate platforms and solutions for telecommunications and enterprise during his time at Amdocs, with senior positions in their India, Cyprus, America, and Canada offices.

Nitin Singhal

Chief Operating Officer

Nitin has over 20 years of success in global executions of business technology, driving operational efficiency and digital scalability for some of the world’s largest enterprise clients. 


Nitin spent 16 years at Redknee holding executive positions in Research and Development, Customer Operations, Partner Alliances, and most recently as COO.

Jeff Brunet​

President, Co-Founder

Jeff has more than 20 years of experience in the startup world, founding and growing 4 software companies: AracNet, Mobile Diagnostix (HP), ClickFree, and Wysdom.AI. 


His in-depth understanding of software development and the challenges in making new technologies successful in the startup world prove invaluable as he serves on the boards of XMG, SurfEasy (Opera), Locationary (Apple), Groupie, and as an advisor to Pushlife (Google), LogMeIn (IPO) and HP. 


Jeff holds 23 issued patents in the wireless and consumer electronics spaces and is the lead inventor on 30+ pending patents.

Ian Collins​

CEO, Co-Founder

Ian has founded and grown 6 technology companies over the past 20 years, primarily in the enterprise software space including Wyrex, Mobile Diagnostix (HP), Clickfree, and most recently Wysdom.AI. 


Ian invests, mentors, and sits on the boards of several startups in the Toronto area.