AI for Customer Support & Success: Advanced

An advanced course for support leads, senior agents who already use AI in daily work. It moves beyond the essentials into deflection design, knowledge-base operations, QA automation, and escalation intelligence, with an emphasis on quality control, automation, and judgment at scale.

What this course covers

The course runs across 12 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.

Designing Conversational Deflection Paths — Learn to map user journeys and design multi-turn conversational paths that successfully resolve common customer inquiries without human intervention.
Configuring Deflection Triggers and Fallbacks — Hands-on practice setting up intent-based triggers, fallback thresholds, and automated routing rules directly in the AI support console.
Analyzing Deflection Analytics and Drop-Offs — Reviewing system analytics to identify where customers abandon automated flows and diagnosing root causes for containment failures.
Writing Knowledge-Base Articles the AI Can Use — Best practices for writing, structuring and tagging knowledge-base articles so the support AI finds the right one and answers accurately: one topic per article, clear titles, short sections and up-to-date facts.
Keeping the Knowledge Base Fresh and Consistent — Hands-on practice connecting knowledge sources in the support tool, checking that updates reach the AI, retiring outdated articles and resolving articles that contradict each other.
Mitigating AI Hallucinations in Support Responses — Practice identifying incorrect or hallucinated AI responses and modifying prompt templates and KB sources to fix them.
Configuring Automated QA Rubrics — Setting up LLM-powered QA evaluators to automatically score 100% of support conversations against quality and compliance rubrics.
Calibrating AI QA Scores with Human Audits — Developing a calibration workflow to compare AI-generated quality scores against human lead evaluations to ensure scoring accuracy.
Operationalizing Auto-QA for Agent Coaching — Using automated QA insights to pinpoint agent skill gaps, track team performance trends, and automate personalized feedback loops.
Building Sentiment and Intent-Based Escalation Rules — Configuring real-time escalation rules based on customer sentiment analysis, urgency detection, and specific high-value intents.
Managing High-Risk Escalations and Crisis Routing — Simulating critical escalation scenarios to practice overriding automated systems and routing sensitive issues to tier-3 agents.
Analyzing Escalation Patterns for System Tuning — Synthesizing post-escalation data to identify systemic product or documentation issues and continuously tuning the AI system to prevent future escalations.

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

Support leads, senior agents. The material is pitched at advanced level, and takes roughly 150 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 Support 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 branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab 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.

See how this training works for the whole function on AI training for Customer Support.

Also in this track

AI for Customer Support & Success: Core — This course helps support and success teams resolve issues faster while keeping quality high. Learners draft accurate replies, ground answers in a knowledge base, triage and summarize tickets, and maintain QA and tone. They leave able to handle more volume without lowering the bar.
AI for Customer Support & Success: Essentials — Learners will be able to answer customers faster without losing the human touch. The course covers drafting a reply from the customer's message and your notes, matching the tone to the situation, and checking the answer against the help article before sending. They leave with a reply routine that is quicker and still sounds like them.
AI for Customer Support & Success Pathway — Grow from faster everyday replies into advanced support operations with AI.
Customer Success with AI — AI across the post-sale customer lifecycle

Frequently asked questions

How long does this course take?

It runs roughly 150 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-CS-201.