AI STRATEGY + CUSTOMER SUCCESS
Practitioner-led.
AI-powered.
Grounded in what works.
Your CS org is sitting on untapped intelligence.
​
Every CS leader is under pressure to modernize. But speed without strategy creates blind spots, not breakthroughs. This site reflects 15 years of enterprise customer success experience, working directly with global enterprise accounts to drive adoption, retention, and measurable business outcomes, while also building the frameworks and AI tools that make that work scalable
COMMON SCENARIOS WHERE CS TEAMS BREAK DOWN.
The Data Is There. The Diagnosis Isn't.
Renewal rates, health scores, engagement metrics exist. What's missing is the ability to connect it across the customer journey in a way that actually explains what is happening. That's a framework problem. And when AI is filling that role, the question worth asking is whether it's actually been optimized to find the right answers.
AI moves fast. Experience keeps it grounded.
THE GROUNDTRUTH CS APPROACH
Build smart. Validate what exists. Optimize for real adoption.
Validate What Exists
Audit your current CS workflows, AI tools, and data flows to identify what's working, what's creating friction, and where outputs have never been properly reviewed by a human practitioner.
Build With a Standard
Every framework, playbook, and AI workflow is built against a validated practitioner standard. Not a generic template. Not an algorithm's recommendation. A standard earned over 15 years of enterprise CS.
Drive Measurable Adoption
Tools that aren't used don't create value. Every framework built here came with clear next steps, enablement support, and documentation teams could own and scale without external dependency
Scaling CSM Coaching Without Bias or Bottlenecks.​
​
High-performing CSMs were setting an unspoken standard that the rest of the team had no visibility into and no structured path to reach. The fix wasn't more managers. It was a validated, practitioner-led coaching framework that AI could scale.
From Decks to Dialogue. A Prescriptive CS Engagement Model.
Feature decks were replacing real conversations. A five-part storytelling structure and a maturity model built on industry frameworks gave every CSM a repeatable way to engage customers, tied to the KPIs and compliance standards their customers already cared about.
CASE STUDIES - SAMPLES
The Work in Practice.
ABOUT ME
Built by someone who has been in the seat.
Now more than ever, experienced human validation isn't optional. It's the difference between AI that strengthens a CS organization and AI that quietly destroys it.
​
The organizations adopting AI fastest aren't always adopting it best. Unvalidated workflows, unreviewed outputs, and unchecked AI insights are setting CSMs up to fail before they ever get started. Skills erode when the tool does the thinking. Customers churn when the information they receive is wrong. And leaders don't always see it coming, because the AI looked confident.
​
An experienced practitioner changes that. My name is Shazyra "Shaz" Irizarry. Someone who has done the work, knows what good output looks like, and can validate whether AI is building a strong foundation or generating noise at scale. That's what I bring. In an era of fast AI adoption, it's the most important layer most CS organizations don't have.
WHY GROUNDTRUTH CS EXISTS.
​
​
-
CS teams were working hard. But no one has defined what good actually looked like.
​​
-
AI tools are being adopted faster than anyone can validate whether they are working.
​
-
Success plans exist everywhere. Almost none of them are driving outcomes.
​
-
Leaders know something is off. They just have no baseline to prove it or fix it.
GroundTruth CS exists because the pattern kept showing up. An evidence-based diagnostic is the only thing that reliably closes the gap.