AI Fridays: Customer Success
How Klarity rebuilt its own Post-Sales operation using AI — turning inconsistent process into a living operating system.
Nischal Nadhamuni, Emmanuel Aouad & JD Fetterly show how Klarity rebuilt its own Post-Sales operation using the same methodology it delivers to customers — consolidating 138 task variants into a canonical catalog and layering automation on shared structure.
You'll learn how to:
Build a governed operating system from messy, inconsistent process: How Klarity's Post-Sales team consolidated 138 task variants into a single canonical catalog and repeatable project structure — so every engagement starts from the same foundation.
Layer automation on shared structure instead of one-off builds: How 55+ automation opportunities were mapped to catalog tasks, starting with a meeting-brief engine across 15 meeting types, so AI handles prep and follow-up while managers focus on relationships and judgment.
Compress time-to-value by focusing human time on what's irreplaceable: How a two-month build created a path from 30-day implementation sprints toward one-day TTVR — by moving coordination work to agents so practitioners concentrate on the moments that matter.
Generate tailored onboarding plans at scale using Klarity itself: How Emmanuel used the Klarity platform to produce role-specific, contextually relevant onboarding plans for the Post-Sales team — turning a manually intensive ramp process into a repeatable, AI-driven workflow that meets each person where they are.
Speakers

Nischal Nadhamuni
CTO & Co-Founder
Klarity

Emmanuel Aouad
Head of AI Value Delivery & Transformation
Klarity

JD Fetterly
Sr. AI Strategy & Value Delivery Lead
Klarity
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