Future-Proofing Client Success with AI

New
Β·

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

Gartner
Clarivate
MarkMonitor
Thomson Reuters

Course overview

Future-proof CS using AI, for proactive relationship management with confidence.

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.

Who is this course for

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.

What you’ll get out of this course

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


This course includes

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 Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

May 13β€”May 18

    Module 1: Understanding AI Foundations for Client Success

    • May

      13

      Pre-program Mixer

      Tue 5/138:00 PMβ€”9:00 PM (UTC)
    • May

      14

      Workshop 1: Reflecting on Success Cases

      Wed 5/148:00 PMβ€”9:00 PM (UTC)
    7 more items

Week 2

May 19β€”May 25

    Module 2: Data Literacy 101 for Client Success Managers and Leaders

    • May

      19

      Workshop 2: Data Inventory

      Mon 5/198:00 PMβ€”9:00 PM (UTC)
    • May

      21

      Workshop 3: Client Interactions Analysis and Framework Creation

      Wed 5/218:00 PMβ€”9:00 PM (UTC)
    • May

      22

      Workshop 4: Evaluating Your Organization's Data Readiness

      Thu 5/228:00 PMβ€”9:00 PM (UTC)
    • May

      23

      Workshop 5: Data Pattern Recognition for Proactive Account Management

      Fri 5/238:00 PMβ€”9:00 PM (UTC)
    13 more items

Week 3

May 26β€”May 27

    Module 3: Maximising CS Tools

    • May

      26

      Workshop 6: Designing AI-Enhanced Client Success Workflows

      Mon 5/268:00 PMβ€”9:00 PM (UTC)
    • May

      27

      Workshop 7: Building Basic Predictive Client Health Models

      Tue 5/278:00 PMβ€”9:00 PM (UTC)
    8 more items

Post-course

    Join The FutureProof CSMs community on Discord

    1 item

Bonus

    May

    28

    Post-Program Mixer

    Wed 5/288:00 PMβ€”9:00 PM (UTC)

What people are saying

Β Β Β Β Β Β Β Β ...May, who has been so diligently reading mine and providing focused and helpful feedback."
Student A

Student A

Sustainability CS Expert
Β Β Β Β Β Β Β Β "May is one of the most motivated and positive people I have ever met, she is strong and resilient. She has been and still is an inspirational figure for me."
Student B

Student B

Market Research / CX Expert
Β Β Β Β Β Β Β Β "May is very knowledgeable about different aspects of business, digital in particular, we had a great rapport with her and we like that she had integrity."
Student C

Student C

Communication Consulting Founder

Meet your instructor

May at artwhich.com

May at artwhich.com

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.

A pattern of wavy dots

Join an upcoming cohort

Future-Proofing Client Success with AI

Cohort 1

Β£700

Dates

May 13β€”27, 2025

Application Deadline

Apr 26, 2025

Course schedule

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.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll 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

Frequently Asked Questions

A pattern of wavy dots

Join an upcoming cohort

Future-Proofing Client Success with AI

Cohort 1

Β£700

Dates

May 13β€”27, 2025

Application Deadline

Apr 26, 2025

Β£700

3 Weeks