[DOWNLOAD]: 5 Reasons Why Conversational AI Is The Future Of Customer Service

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With the artificial intelligence industry expected to grow to $52.2 billion by the year 2021, it’s no surprise cognitive customer service spending is leading the growth and providing new AI use cases for the enterprise. Forward-thinking organizations have already incorporated machine learning  and Conversational AI into their processes to both improve their bottom lines, and provide better experiences for their customers.

As consumers increasingly prefer to converse and transact with brands through digital channels, enterprise adoption of virtual assistants, chatbots, mobile messaging platforms, and cognitive search solutions are on the rise. In fact, research from Gartner suggests chatbots will power 85 percent of all customer service interactions by the year 2020. But why is Conversational AI so effective?

The Ultimate Guide

5 Reasons Why Conversational AI is the Future of Customer Service pulls from Wysdom’s experience helping enterprises implement effective Conversational AI solutions for their digital care transformation. Read on for a snippet, and click the image below to download the full report.


Conversational AI for Customer Service

1.True 24/7 Customer Service Environment
The use of cognitive search and enterprise virtual assistants provide a true 24/7 customer service environment for organizations looking to establish an edge over their competitors. Customers are able to get the help they need through the channel they most prefer, regardless of time zone or jurisdiction, both quickly and efficiently.

2. Empowering Customer Service Agents
Conversational AI empowers customer service agents, allowing them to spend more time solving challenging and complex issues instead of repetitive tier-1 support tasks. This enables enterprises to retain their skilled agents in what is oftentimes a high-turnover role.

3. AI Is Only Trained Once, With Continuous Learning Capabilities
With some AI-based solutions, you only need to train the system once. Wysdom’s Cognitive Data Exchange is already familiar with over 250,000 questions and 5,100 intents from 40 million end-users worldwide, and continuously learns with every new search query or data input.

4. Increasing Demand For Self-serve And Digital Options
Consumers are increasingly reliant on the convenience of chat, virtual assistants, and voice-enabled technology. With millennials leading the shift towards more digital experiences, enterprises need to adapt to ensure they cater to the digital needs of their current and future customers.

5. Reliable Scale, Speed, And Consistency
AI solutions provide unbiased reactions and answers to customer issues and search queries far better than their human counterparts. It also uses the same tone of voice, escalates issues with ease, and is able to record and update service tickets without any errors, providing a consistent level of customer service.

For more details on the top 5 reasons why Conversational AI is the future of customer service, download our full report.

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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.