
AI+ for Customer Success & Retention
Reduce Churn, Accelerate Adoption and Grow Account Revenue with AI
The accounts that churn quietly never announce themselves.
You know which accounts are in trouble. Mostly. The problem is you find out two months after the trouble started — when a health score you haven't had time to update finally catches up to a reality you'd sensed but couldn't act on. This book gives you the RETAIN Protocol, 50+ copy-ready prompt templates, and a 90-day implementation plan to manage your portfolio proactively — catching risk early, communicating with precision, and walking into every renewal already knowing what you need to say. Built by an AI engineering firm for CSMs who are good at the relationship — and need a system that matches their standard.
- 50+ copy-ready prompt templates for health scoring, outreach, QBR synthesis, churn intervention, and renewal preparation
- The RETAIN Protocol — a six-stage customer success lifecycle framework that runs across your whole portfolio simultaneously
- The PULSE Account Health Framework applied to CS — five dimensions that surface renewal risk before the customer stops responding
- A QBR preparation workflow that cuts prep time from 4 hours to 30 minutes without cutting quality
- A 90-day AI implementation plan sequenced across four capability tracks, with specific actions, metrics, and milestones
Customer Success Manager (CSM) at a SaaS, technology, or subscription-based business. 2–8 years experience. Manages a portfolio of 20–80 accounts. Familiar with CRM and CS platforms but uses AI tools inconsistently or not at all.
Also for:Head of Customer Success / VP CS building team playbooks and processes. Account Manager transitioning into a CS-oriented role. Customer Experience Manager in a recurring-revenue business.
- Apply the RETAIN Protocol to manage the full customer lifecycle — from onboarding through renewal and expansion — using AI-assisted workflows
- Construct and interpret AI-assisted account health scores using the PULSE framework to identify at-risk accounts before churn occurs
- Design and deploy proactive engagement sequences with AI-drafted personalised outreach at scale
- Prepare QBRs, renewal business cases, and expansion proposals using AI-powered data synthesis and value narrative generation
- Build a 90-day implementation plan for introducing AI tools into a customer success function
- Diagnostic
- How AI-ready is your customer success practice?
- Chapter 1
- The Customer Success Imperative
- Chapter 2
- Reading Your Accounts
- Chapter 3
- Onboarding and Time to Value
- Chapter 4
- Proactive Engagement at Scale
- Chapter 5
- Churn Prediction and Risk Response
- Chapter 6
- QBR Preparation and Value Reporting
- Chapter 7
- Renewal Management
- Chapter 8
- Expansion Revenue and Customer Advocacy
- Chapter 9
- CS Operations and Team Efficiency
- Chapter 10
- Your 90-Day Customer Success AI Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for CSMs who are good at the relationship — and need a system that matches their standard.
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