AI for Customer Success

A success-specific course (distinct from support): using AI for account health, QBR preparation, and renewal and expansion motions. Learners practice a full customer review cycle with AI assistance.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Foundations of AI in Customer Success — Understand how AI transforms the CSM workflow from reactive support to proactive success management, focusing on data-driven decision making.
Analyzing Account Health Signals with AI — Learn to use AI tools to aggregate product usage data, support ticket trends, and sentiment analysis to identify early churn warning signs.
Scenario Exercise: Prioritizing At-Risk Accounts — Evaluate AI-generated account health scores and make critical decisions on which customer accounts to prioritize for immediate intervention.
AI-Assisted Success Planning — Collaborate with an AI assistant to draft, refine, and track collaborative success plans aligned with customer business outcomes.
Automating QBR Data Gathering — Use AI to rapidly query database metrics, synthesize adoption trends, and calculate ROI to prepare for Quarterly Business Reviews.
Structuring the QBR Value Narrative — Learn to prompt AI to translate complex technical metrics into a compelling executive-ready business value story.
Roleplay: Delivering the AI-Informed QBR — Practice presenting the QBR narrative and handling tough customer objections in a simulated client conversation.
Spotting Renewal and Expansion Signals — Leverage predictive AI models to identify accounts primed for cross-sell, upsell, or early renewal based on usage milestones.
Drafting Expansion Proposals with AI — Hands-on exercise using AI to generate highly personalized, value-based expansion proposals tailored to specific customer pain points.
Roleplay: Navigating the Renewal Conversation — Engage in a simulated renewal negotiation, using AI-generated negotiation points and customer history to secure a commitment.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

CSMs, success teams. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Customer Success track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a roleplay assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Customer Success with AI — AI across the post-sale customer lifecycle

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-CSM.