A Six-Minute Breakdown of Gartners Top Conversational AI Platforms

Sixteen platforms by channel proficiency

With detailed profiles, verified reviews and industry events, it’s your best tool for vendor selection. Unique approach to linguistic and ML, delivering flexibility and speed to develop business-relevant AI apps in record time. Kindred is one of Europe’s largest and fastest growing online gaming operators, with over 13 million customers globally. Known as an innovator in the sector, Kindred is using Teneo to differentiate itself by speech enabling the betting process, making it faster and easier to place a bet.

Chatbots shouldn’t be thought of in isolation as, a point solution to solve a single problem. For example, a customer service chatbot typically knows about an enterprise’s products and has already been integrated into a back-end CRM system. But to substantially improve the customer experience, chatbots need intelligence. 75% of customers expect “now” service within five minutes of making contact online. Enterprise chatbots allow businesses to meet this demand by giving an immediate response to queries or issues. In this chapter we’ll talk about how AI chatbots transform business by reducing costs, increasing revenue and enhancing the customer experience.

Cognigy is named a Leader in the January 2022 Gartner® Magic Quadrant™ For Conversational AI Platforms We believe it…

Such a product suite is not a result of acquisitions or white-labeled third-party solutions. As such, these tools are adaptable across multiple use cases, which helps to accelerate business transformation and create consistency. Unfortunately, some of the more cutting-edge features are not yet ready for productization. Kore.ai placed inside the top two for both its vision and ability to execute. In achieving such an impressive ranking, Gartner highlighted the vendor’s market understanding and enterprise support, market traction, and product capabilities as notable strengths.

And in the case of Watson Assistant, Cognigy and the like leads the way in ease of use. Watson Assistant’s new interface in specific is a case in point, of plotting out a roadmap for anyone to build a bot. Much functionality in the new Watson interface is aimed at shielding users from jargon, complexity and configuration intricacies. Even though this is immensely important, this criteria impacted Rasa negatively.

How do chatbots handover to agents?

Improve the bottom lineJuniper Research predicts that by 2023, chatbots will save banking, healthcare, and retail sectors up to $11 billion annually. In other words, a chatbot can mean the difference between turning a profit and having to explain to stakeholders why the company fell chatbot gartner magic quadrant short. Offer help as soon as customers need it and anticipate their needsProviding always-on support is no longer a stand-out feature; it’s something customers have come to expect. In fact, 43 percent of consumers expect 24/7 customer service, according to an e-commerce study.

For example, it can automate the creation of tickets, cases and requests in your ITSM or CRM platform, follow up on statuses, and query a database to contextualize a conversation with a user. Instant support to your customers on channels like WhatsApp, Facebook Messenger, SMS, and Ticket Forms in partnership with Zendesk. It’s also worth noting that Certainly is designed to be deployed fast with its pre-built integrations and templates so your team and execs can start to see its value as soon as possible. Though Certainly doesn’t have many reviews across G2 and Capterra, it has a respectable overall rating of 4.4 out of 5 stars on Capterra. We recognized the need to address the technology challenges specific to a CMO and the marketing department. This need became the crux of MTC’s mission statement; to be the single source destination for marketers in the digital age; dedicated solely to Marketing Technology arena and the people who buy, influence and consume MarTech around the world.

• Limit your selection of vendors to the vendors able to deliver the required level of sophistication needed over the next two years to ensure success and ROI, using Gartner’s sophistication continuum. To learn more about the Gartner process and Rasa’s recognition, download the report now. “Being recognized by Gartner and by brands across the globe we believe is a testament to our ambition to change the way companies engage with their customers.” said Alex Weidauer, Co-Founder and Chief Strategy Officer of Rasa. No-code platforms showing up in the top five is surprisingThis is especially surprising given that flexibility was one of just 5 criteria for our evaluations.

Be warned – creating a “superbot”, “concierge bot”, etc, is thought to be more a band-aid than a solution, to something that merits a strategy. The important criteria to evaluate for in this category are 1) if you have the ability to create this kind of solution on the platform, and 2) the relative ease in doing so. Since bot-to-bot communication can be complicated, very few of these platforms even allow someone to create them. Purchasing channel-specific conversational AI platforms can sometimes bring decent short-term gains. For most organizations, this is a direct route to unnecessarily paying for several different platforms at once and inevitably replacing them with a robust, channel-agnostic platform that’s more flexible. As you’ll see, these channel-agnostic platforms do actually exist, and a small subset has made enormous leaps beyond what most of us thought was possible without writing code.

By Mode of Integration

The chatbot pairs conversational AI with automated communication and engagement workflows so organizations can engage with candidates at scale. Chatbots for salesBeyond customer service use cases, chatbots can be used for prospecting, making them a helpful hand for your sales team. A chatbot can help with lead generation by capturing leads across multiple channels. It can also pass a prospective customer to the next step in the sales process, whether that’s a human sales agent or an email and phone number capture. Boost.ai has built the world’s most user-friendly conversational AI platform to let customer service teams automate customer service and has deployed more virtual agents than any other company in the world.

• The vendor also boasts a stand-alone analytics offering, Cognigy Insights, which delivers a unique understanding of how the AI solution is performing.
• Through its intent discovery tool, companies can record customer conversations and harness AI algorithms to uncover customer intent and automation opportunities.
• While many enterprises had established contingency plans, these didn’t contemplate a worldwide shutdown affecting workforces, supply chains and customers.
• The major factors fueling the market growth include the increasing demand for AI-powered customer support services and omnichannel deployment, and reduced AI chatbot development costs.
• In the coming years, it’s expected that customers will manage the majority of their relationship with an enterprise without interacting with a human and that millions of consumers will use voice-enabled conversational AI to purchase on digital commerce platforms.

There is an approach emerging now of building a chatbot ecosystem using various technologies and components. Following a more open approach and opting for the best of breed for each individual component of the conversational experience. With chatbot development the initial approaches seemed to have been centered around a single vendor or technology framework/stack to address the complete chatbot development and maintenance process, end-to-end. Its conversational AI offerings of Power Virtual Agents, Azure Bot Service and Bot Framework do not offer a singular stand-alone platform, so Microsoft did not qualify for inclusion.

However, just like any other technology, organizations have to invest the time in order to teach the bots to do the things they want it to do. MetaDialog has been a tremendous help to our team, It’s chatbot gartner magic quadrant saving our customers 3600 hours per month with instant answers. MetaDialog’s conversational interface understands any question or request, and responds with a relevant information automatically.

Boost conversion and revenue by assisting the customers’ journey in an online store by offering personalized shopping advice. For example, a chatbot can help navigate through different categories, find specific products, make suggestions about the right size and even place the order. Guide customers into choosing the vehicle that best fits both needs and budget, in a conversational style. Using the information gleaned from talking to the customer, the chatbot can help configure a car, and even schedule a test drive at the nearest dealer. In this chapter we’ll cover the primary ways chatbots are used, as well as look at some chatbot use case and chatbot examples covering the most important industries.

It’s essential that a platform has flexible connectors, SDKs and APIs to allow enterprises to seamlessly scale their application according to their needs. It’s essential to define business value and goals at the beginning of a project. By knowing the features needed to achieve the desired result it’s possible to shape the implementation, bearing in mind any business restrictions such as time or budget. Natural Language Processing is used to split the user input into sentences and words. Lastly, if you are a customer of these vendors – help us out in getting the most accurate view of the market by leaving a review in Gartner Peer Insights. • Use the seven high-level categories that determine the major differentiators in the market to further limit the selection down to vendors that fit your enterprise needs.

In the next five to six years, as the market will gain traction across the globe, an increased level of awareness is expected to be witnessed even in developing regions, which would boost the adoption of conversational AI solutions. SmarTek21’s SmartBotHub has been recognized by Gartner for the second year in a row as one of the industry’s leading Conversational AI platforms. With the ability to be deployed on-premise or in the cloud, SmartBotHub helps customize and personalize customer experiences by bringing an even richer set of features for creating best-in-class digital conversation experiences and delivering value to market. SmarTek21’s conversational AI technology specializes in increasing efficacy and triaging of customer requests and reducing support costs with intuitive self-service tools.

Engaged customers purchase 90% more frequently than average customers and spend 60% more per purchase. Interestingly, despite wanting a humanlike interaction most people are quite content knowing they are speaking to a machine. For some it means they can go over a technical problem again and again without feeling foolish. In a recent survey 81% of respondents said that the process of training AI with data was more difficult than they expected. Not only is it important for organizations to be available on all channels relevant to its audience, but the experience needs to be seamless across those channels too.

We pride ourselves in doing this better than anyone in the industry given our long heritage in IT Consulting and Mobile application design”. It is the only solution on the market that contributes to this level of workforce productivity and collaboration. So while the Forrester report rated Moveworks as differentiated with respect to several important criteria, we’re most excited about the differentiated score we received in the vision criterion. Our chatbot has already transformed the IT support process for customers like Slack, Autodesk, and Western Digital.

In fact, messaging apps have the highest customer satisfaction score of any support channel, with a CSAT of 98 percent. Customers want to interact with brands on the same digital channels they’re already using in their personal lives. A chatbot that connects to your support systems means it can pass on information to automate ticket creation and equip agents with conversation history when their expertise is needed. Even better, using artificial intelligence, your chatbot may even be able to deliver recommended answers, knowledge base articles, and more to your agent.

In addition, look for features that will aid speed of development including automated coding, web-hooks to allow flexible integration with external systems, and ease of portability to new services, devices and languages. Certainly, Microsoft didn’t envisage that “helpful” members of the public would teach Tay to start Tweeting inappropriate messages. Tay was designed as a showcase of machine learning, but unfortunately very neatly illustrated the problem with some conversational AI development tools they lack the control required to supervise the behavior. A conversational chatbot must understand the user’s intent, no matter how complex the sentence; and be able to ask questions in return to remove ambiguity or simply to discover more about the user. It needs a memory in order to reuse key pieces of information throughout the conversation for context or personalization purposes and be able to bring the conversation back on track, when the user asks off topic questions. Personality can make a huge difference to engagement and the trust users place in the chatbot.