Making AI Customer-Centric

Making AI Customer-Centric (Temkin Group Report)Temkin Group just published a new report, Making AI Customer-Centric. Here’s the executive summary:

The use of Artificial Intelligence (AI) – often in the form of chatbots and intelligent virtual assistants – is becoming more widespread in customer experience. However, despite its prevalence, few companies are employing AI in the right scenarios or using it to its fullest potential. In this report, Temkin Group creates a model and shares best practices for AI-Driven Interfaces (AIDI), which we define as digital interactions with customers that are being directly manipulated by machine learning algorithms.

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Purchase and download Temkin Group report: Making AI Customer-Centric

To successfully deploy customer-centric AI, companies need to:

  • Integrate the elements of the Human Conversational Model into the design of AIDI.
  • Bring together Five Ingredients: Conversational Design, Targeted Use Cases, Optimized Data Aggregation, Responsive AI Engine, and Continuous Tuning.
  • Determine Organizational AI Readiness before deployment by tying AI to business strategy, auditing data sources, assessing employee skills, and planning for agent/AIDI interactions.

Five Ingredients of Customer-Centric AI

Download report for $195
Purchase and download Temkin Group report: Making AI Customer-Centric


Report Outline:

  • Current AI Efforts Miss the Mark
  • Five Ingredients For Customer-Centric AI
    • Ingredient #1: Conversational Design
    • Ingredient #2: Targeted Use Cases
    • Ingredient #3: Optimized Data Aggregation
    • Ingredient #4: Responsive AI Engine
    • Ingredient #5: Continuous Tuning
  • Determine Organizational AI Readiness

 

Figures in the Report:

  1. Artificial Intelligence Terminology
  2. Five Ingredients for Customer-Centric AI
  3. The HumanConversational Model
  4. American Express Platinum: Handoff to live agent
  5. Organizational Personality
  6. Organizational Personality: U.S. Army’s SGT STAR
  7. Attributes of Good Initial AI Use Cases
  8. How AI Supports Contact Center Agents
  9. NorthFace: Identify Intent in the Moment
  10. Questions For Determining Organizational AI Readiness
  11. Changing Responsibilities for AI Development

Download report for $195
Purchase and download Temkin Group report: Making AI Customer-Centric

Written by 

I'm an experience (XM) management catalyst; helping organizations improve results by engaging the hearts and minds of their employees, customers, and partners. I enjoy researching and speaking about leading-edge XM topics. I lead the Qualtrics XM Institute, which is the world's best job. We're igniting a global community of XM Professionals who are inspired and empowered to radically improve the human experience. To achieve this goal, my team focuses on thought leadership, training, and community building. My work is driven by a set of fundamental beliefs: 1) Everything starts and ends with human beings, so you need to understand how people think, feel, and behave; 2) XM is a discipline that needs to be woven throughout an organization's entire operating fabric; and 3) Building the XM discipline requires a combination of culture, competency, and technology.

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