3 Weeks
Β·Cohort-based Course
Master AI tools and strategies designed for B2B Client Success Managers to enhance client relationships, predict needs and drive retention.
3 Weeks
Β·Cohort-based Course
Master AI tools and strategies designed for B2B Client Success Managers to enhance client relationships, predict needs and drive retention.
Previously worked for
Course overview
Read my post on the application of AI here: https://www.artwhich.com/
This practical, hands-on course equips experienced CSMs AI literacy needed to:
(1) Analyze client data patterns to identify early warning signs of churn
(2) Design AI-enhanced workflows that complement your existing client success processes
(3) Create predictive client health models using basic AI frameworks
(4) Develop strategic approaches to communicate AI value propositions to skeptical (internal) clients
Designed exclusively for client success professionals in B2B environments who want to stay ahead of industry changes and exceed performance metrics through strategic AI implementation.
01
Junior B2B client success managers with at least 2 to 3 years of CSM experience, keen to explore ways AI may help identify signs of churn.
02
Senior client success managers or leaders with 5+ years of experience, and keen to move to a technological approach to managing accounts.
03
This program is not for students, aspiring CSMs, graduates, or CSMs who are extremely aware of AI in practice.
Analyze client data patterns to identify early warning signs of churn
Design AI-enhanced workflows that complement your existing client success processes
Create predictive client health models using basic AI frameworks
Develop strategic approaches to communicate AI value propositions to skeptical (internal) clients
9 interactive live sessions
Lifetime access to course materials
19 in-depth lessons
Direct access to instructor
10 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Mavenβs guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Future-Proofing Client Success with AI
May
13
Pre-program Mixer
May
14
Workshop 1: Reflecting on Success Cases
May
19
Workshop 2: Data Inventory
May
21
Workshop 3: Client Interactions Analysis and Framework Creation
May
22
Workshop 4: Evaluating Your Organization's Data Readiness
May
23
Workshop 5: Data Pattern Recognition for Proactive Account Management
May
26
Workshop 6: Designing AI-Enhanced Client Success Workflows
May
27
Workshop 7: Building Basic Predictive Client Health Models
May
28
Student A
Student B
Student C
This is where you'll add your bio as a way to establish credibility and demonstrate to your audience why you're the right person to teach this course.
Join an upcoming cohort
Cohort 1
Β£700
Dates
Application Deadline
6-8 hours per week
2 Pre and Post-Program Mixers via Zoom
1 hour per mixer
Pre and post-program 'get to know your peers' sessions via Zoom facilitate networking, build CS community, and provide a platform for informal interaction and relationship-building, which can enhance your overall program experience and future collaborations in the field of CS.
7 Live Zoom Interactive Workshops
1 hour at 21:00 BST on various weekdays
Schedule
Week 1: 14 May and 19 May
Week 2: 21 May, 22 May and 23 May
Week 3: 26 May and 27 May
Weekly Projects
4 hours per week
Put what you learned in practice. Receive feedback from your host and peers.
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
Youβll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Join an upcoming cohort
Cohort 1
Β£700
Dates
Application Deadline