Who’s Leading in AI-Driven Customer Engagement?

Explore 11 platforms—from enterprise giants to AI-first challengers—ranked on key criteria

  • Uncover costly gaps that can erode millions in potential returns
  • Compare total-value performance across 8 financial and technical criteria
  • Protect ROI with an evidence-based shortlist of future-ready platforms

After reading this book, you should be able to:

  • Identify strengths and gaps among competing platforms
  • Align technology choices with your brand’s growth strategy
  • Understand the innovations that will shape the next generation of customer engagement

Recognized as the most comprehensive review of AI-driven customer engagement technology

The Solus.ai Advantage

Customer 360 View & Data Integration

AI-Powered Recommendations

Propensity Modeling & Predictive Analytics

Advanced Segmentation

Campaign Intelligence & Lifecycle Management

Analytics & Incrementality Measurement

Agentic AI & Innovation

Service & Support Models

Also summary-level data, consolidated by enterprise giants, mid-market players, loyalty niche players, and AI-First platforms.

Highlights from the Research

The AI-First segment consistently achieves

  • 20-30% improvement in conversion rates
  • 3-7% incremental topline revenue gains
  • 4-5x higher ROI vs. best-in-class segment-led methods

About this Research

Information in the AI-Driven Customer Engagement Playbook is supported by more than 300 citations from 95 different sources, ranging across vendor documentation, news articles, customer reviews and third-party evaluations.

Professional headshot of Jim Griffin, AI strategist and speaker

About the Author

Jim Griffin is a faculty member at the University of Texas, Austin, in the Masters of Business Analytics program. He’s also the founder of AI Master Group, which delivers high-impact consulting and resources related to AI. Jim has more than 15 years of project experience in North America, Europe, the Caribbean and Asia Pacific, with projects involving AI, analytics, machine learning and CRM. He also has a popular YouTube channel and podcast devoted to AI.

Jim can be reached at jim@aimast.org

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