VP of Customer Success
Build and develop the customer success team
What You Do Today
Recruit, train, and retain CSMs who combine relationship skills with business acumen and technical understanding. Build career paths and a team culture focused on customer outcomes.
AI That Applies
AI tools that automate routine CSM tasks — health monitoring, email sequences, data gathering — allowing CSMs to manage larger portfolios while maintaining quality.
Technologies
How It Works
The system ingests customer interaction data — transactions, communications, behavioral signals, and profile information. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The best CSMs build genuine relationships where customers view them as trusted advisors.
What Changes
CSM productivity increases as AI handles administrative work. A CSM can manage more accounts because AI flags which ones need attention right now.
What Stays
The best CSMs build genuine relationships where customers view them as trusted advisors. That emotional intelligence can't be automated.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for build and develop the customer success team, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long build and develop the customer success team takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“How would we know if AI actually improved build and develop the customer success team — what would we measure before and after?”
They shape expectations for how AI appears in governance
your CTO or CIO
“How much of build and develop the customer success team follows repeatable rules vs. requires genuine judgment — and can we quantify that?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.