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How Far Can CS Run Itself?
Skyflow's Playbook for an AI-Native Org
Skyflow's Customer Experience team manages one of the most demanding portfolios in enterprise software: high-touch, compliance-heavy accounts where being reactive isn't an option. Then they rebuilt their CS motion around AI. Join Amruta Moktali (CPO) and Ari Hoffman (Head of CX) from Skyflow, alongside Munish Gandhi (Statisfy), for a candid conversation on how they achieved a 10% efficiency gain and 80% health score accuracy within 30 days, without adding headcount.
What you'll learn
- How they built an internal business case for investing in a purpose-built tool for their growing CX team
- How they unified fragmented data across systems into a single source of truth for CS and AM
- How they built 10+ automated flows in Statisfy Agent Studio, eliminating daily manual work
- How they use Statisfy alongside Claude: Claude for individual work, Statisfy for team-wide automation via MCP
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Speakers
Meet the speakers
Amruta Moktali
Chief Product Officer
Skyflow
Amruta is Chief Product Officer at Skyflow, the data privacy platform for the modern AI stack. She uses Statisfy to surface expansion signals, churn risk, and sentiment shifts across the enterprise portfolio before they turn urgent.
LinkedIn Ari Hoffman
Head of Customer Experience
Skyflow
Ari leads Customer Experience at Skyflow, stewarding enterprise customers from kickoff through go-live and long-term growth. She built the team's AI-native CS motion, driving a 10% efficiency gain across the CX org without adding headcount.
LinkedIn Munish Gandhi
Founder & CEO
Statisfy
Munish founded Statisfy after seeing, as the CS leader at Productiv, that CS tools were built for CS leaders, not the CSMs actually doing the work. Statisfy uses AI to handle the busywork so CSMs can focus on driving customer outcomes instead.
LinkedInResults at a Glance
What changed for Skyflow's CX team
Agenda
What we'll cover
Why Skyflow moved from a legacy CSP to an AI-native tool
- Data was fragmented across systems, with no single view of any account
- Health scores based on data usage alone, not actual behavioral signals
- Executive reporting consumed hours of manual Slack and email combing
- What triggered the evaluation and how they chose Statisfy
How Statisfy helps their CX and CPO teams collaborate
- Unified account intelligence accessible to CS, AM, and product leadership
- Ari's team: proactive account health signals, automated workflows, meeting follow-ups
- Amruta's view: expansion signals, churn risk, and sentiment shifts, all in one place
- What cross-team collaboration looks like when everyone works from the same data
Claude + Statisfy: building an AI-native CS stack
- How the two tools complement each other, not compete
- Claude for single-player mode: account research, meeting prep, strategic drafting
- Statisfy for multiplayer mode: 10+ automated flows, customer context via MCP Server
- The efficiency gain that changed the headcount conversation