NOW PART OF THE FUTURUM GROUP

Learn More
Zendesk AI agent assistance

Zendesk Announces New AI Intelligence Layer to Power Seamless Interactions

Zendesk AI Integrates Proprietary Models, Generative, and Large Language Models

  • Share

The News:

Zendesk AI, an intelligence layer that combines the company’s data and insights with new AI technologies, including the company’s proprietary models, generative, and large language models (LLMs), was announced May 10 at Zendesk’s Relate customer event. Zendesk AI is designed to help organizations improve service experiences, save time, and create seamless interactions.

Several new features and capabilities were announced, including pre-trained bots that provide personalized and industry-specific responses to customer queries, AI-powered agent-assistance insights and suggestions, and an intelligent triage function, which incorporates intent detection, language detection, and sentiment analysis to allow agent teams to quickly prioritize and categorize customer tickets, and then power workflows based on these insights.

Zendesk also announced new features developed via a partnership with OpenAI that leverage generative AI and LLMs, including content summarization, response rephrasing, and tone shifting, which helps agents craft clearer and thoughtful responses to customers.

See the complete press release from Zendesk here

Zendesk Announces New AI Intelligence Layer to Power Seamless Interactions

Analyst Take:

Zendesk announced the general availability of Zendesk AI, an intelligence layer that incorporates new AI technology (including generative models and large language models), as well as the company’s proprietary models and interaction data captured via its customers interactions on the Zendesk platform. According to the company, Zendesk AI will help companies instantly improve service experiences, save time, better understand their customers, and create seamless interactions. The solution continues to learn over time, is fast to deploy, and immediately adds value without the need for large teams of developers or months of implementation time.

At the company’s analyst day held the day prior to the Relate customer event, I had the opportunity to listen to company’s leadership discuss Zendesk AI, its features, and the benefits it likely would provide to customers. I was struck by a few significant points that make the offering very interesting.

Creating Bots Trained on Billions of CX Interactions

First, Zendesk has taken a smart approach to positioning the technology as a catalyst for driving seamless interactions between companies and customers. The company is drawing on the 18 billion CX interactions that were used to train its own AI models, a large body of data and insights that are being leveraged to deliver pre-trained, out-of-the-box bots that can be deployed immediately, without modifications or training needed. This approach addresses one of the key challenges faced by organizations – how to extract ROI quickly from investments into AI and automation – while driving seamless interactions at scale.

Using Generative AI and LLMs to Create Seamless Interactions

Another interesting aspect of the announcement is the partnership between OpenAI and Zendesk, which will see the rollout of generative tools, including ticket summarization, response rephrasing, and tone shift, which are designed to help agents quickly understand the issue, and then create clearer and more appropriate responses to customers. These tools allow agents to create seamless interactions with less time and effort, while maintaining quality. The application of generative AI to agent workflows is a responsible way to incorporate these new tools, while also maximizing the value to the customer.

Expanding AI to Solve Complex Issues

Zendesk also discussed several other enhancements to its platform that will be rolled out over the next 6 to 18 months, with a general shift toward deploying advanced AI tools in a way to move from supporting automation, recommendations, and predictions, to higher and more complex tasks. The goal is to branch into proactive service use cases (notification, connection, and suggestions) and preventative ones (trend identification, evaluation, and cultivation). The company says that AI should be used in CX to help live agents solve complex issues and problems, allowing them to drive seamless interactions across more situations, instead of simply using AI to handle repetitive or simple tasks.

Time-to-Value Remains Key

Perhaps the most impressive thing I heard from Zendesk executives was the focus on time-to-value. Although the company’s product launches and enhancements are impressive, technological superiority is fleeting at best, and few CX customers buy based on bells and whistles. Ultimately, in an ultra-competitive space such as CX, organizations want to create seamless interactions with their customers today, and will not tolerate implementations that span years, rather than weeks or quarters. Zendesk appears to have internalized this message, and should see success in the market if it is able to follow through and execute on its promises.

Latest Research

Employee Experience

Employee Experience

Market Drivers and Barriers, Market Sizing and Forecasts, and Case Studies

CX in the Healthcare Industry

CX in the Healthcare Industry

Patient Experience Management and Patient Engagement: Best Practices, Key Market Trends, Case Studies, and Market Forecasts

CX Market Forecasts

Customer Data & Analytics, Customer Relationship Management, Contact Center, Personalization & Optimization, Customer Data Platforms, Customer Insights & Feedback, and Employee Experience

Customer Insights & Feedback

Market Drivers and Barriers, Key Industry Players, Market Sizing and Forecasts, and Case Studies

Related Articles

Cloud-based employee experience platform

Genesys Broadens Experience Reach with the Cloud EX Launch

The News: Global experience orchestration provider Genesys has introduced Genesys Cloud EX, a solution focused on supporting employees within and beyond the contact center with AI-driven workforce forecasting and scheduling, gamification and…

Read More
Call center satisfaction for wireless carriers

Call Center Satisfaction Weighs Down Overall Wireless Service Ratings

The News:   Call center satisfaction garnered the lowest customer ratings across each category of wireless carriers, hovering around the 70-71 mark across mobile network operators (MNOs), full-service mobile virtual network operators…

Read More
Zendesk AI agent assistance

Zendesk Announces New AI Intelligence Layer to Power Seamless Interactions

The News: Zendesk AI, an intelligence layer that combines the company’s data and insights with new AI technologies, including the company’s proprietary models, generative, and large language models (LLMs), was announced May 10 at Zendesk’s…

Read More
AI for customer experience

TTEC Holdings Announces Expanded Suite of Generative AI-Enabled CX Solutions

The News: TTEC Holdings, a provider of CX technology and services, announced an expanded suite of AI solutions incorporating the use of generative AI and large language models (LLMs) in its CX solutions. These solutions have been developed…

Read More
more related articles