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 am an experience management transformist, helping organizations improve business results by engaging the hearts and minds of their customers, employees, and partners. My "job" is Head of the Qualtrics XM Institute. The Institute is still being established, but our goal is to help organizations around the world thrive by mastering Experience Management (XM). As part of this focus, I examine strategy, culture, interaction design, customer service, branding and leadership practices. And, as many people know, I love to speak about these topics in almost any forum. Prior to joining Qualtrics, I was managing partner of Temkin Group (leading CX research, advisory, and training firm), co-founder and chair of the Customer Experience Professionals Association (CXPA.org), and a VP at Forrester Research. I'm a fanatical student of business, so this blog provides an outlet for sharing insights from my ongoing educational journey. Check out my LinkedIn profile: www.linkedin.com/in/brucetemkin

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