FORMATION IA
L'IA pour les Responsables Customer Success
Permettre aux leaders CS d'améliorer la rétention nette grâce au scoring santé, à la prédiction du churn et aux playbooks intelligents.
Ce qu'elle couvre
Ce programme apprend aux responsables Customer Success à concevoir et opérationnaliser des workflows pilotés par l'IA pour améliorer la rétention et les revenus d'expansion. Les participants apprennent à construire des scores de santé prédictifs, interpréter les signaux de churn, exploiter l'intelligence conversationnelle et intégrer des playbooks assistés par l'IA dans les pratiques quotidiennes de leurs équipes. Le programme mêle cadres stratégiques, évaluation d'outils et études de cas réels issus d'organisations SaaS B2B. À l'issue, les leaders sont en mesure de défendre un investissement IA et de piloter une organisation CS orientée données.
À l'issue, vous saurez
- Design a multi-signal customer health score using product, support, and commercial data inputs
- Interpret churn prediction model outputs and translate risk tiers into concrete playbook actions
- Evaluate and shortlist conversation intelligence tools against defined CS use cases
- Build a business case quantifying the NRR impact of AI-assisted CS workflows
- Define the data and integration requirements needed to deploy AI tooling in a CS tech stack
Sujets abordés
- Designing predictive customer health scores using product usage, support, and engagement signals
- Churn prediction models: interpreting outputs and acting on risk tiers
- Conversation intelligence platforms (Gong, Chorus, Clari) for CS insights
- AI-assisted playbook design: triggers, recommended actions, and automation thresholds
- Net Revenue Retention levers and where AI creates measurable lift
- Data requirements and CRM/CS platform integration (Gainsight, Totango, ChurnZero)
- Evaluating and selecting AI tools for CS teams
- Change management: getting CSMs to adopt AI-assisted workflows
Modalité
Delivered as a blended programme over three to four weeks: two live virtual workshops (half-day each) bookending three self-paced modules covering tooling, data fundamentals, and playbook design. Optional in-person capstone day available for cohorts of 10+. Participants work on a real health-score redesign project throughout the programme. Hands-on exercises make up roughly 50% of total learning time.
Ce qui fait que ça marche
- Starting with a clearly defined retention metric (GRR or NRR) as the north star before designing any AI model
- Involving frontline CSMs in playbook design so AI-generated recommendations map to real customer conversations
- Running a 90-day pilot on a single segment before scaling AI tooling across the full book of business
- Establishing a data feedback loop where CSM actions are captured and used to retrain health score models over time
Erreurs fréquentes
- Building health scores from a single data source (e.g. NPS only) rather than multi-signal composite models
- Deploying churn prediction without a clear escalation playbook, leaving CSMs unsure how to act on risk flags
- Selecting AI tools based on vendor demos rather than evaluating against the team's actual data maturity and CRM integration requirements
- Treating AI adoption as a technology rollout rather than a change management effort, resulting in low CSM adherence
Quand NE PAS suivre cette formation
This training is not the right fit for early-stage CS teams (under 5 CSMs) that lack a CRM or CS platform and have no structured health scoring in place — they need foundational CS operations training before tackling AI tooling.
Fournisseurs à considérer
Sources
Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.