Karthik's Podcast: AI Content Creation with Shivali Goyal
Trupeer CEO Shivali Goyal joins Karthik Chakkarapani, CIO at Zuora, for the inaugural episode of his podcast series.
In the inaugural episode of his podcast series, Karthik, CIO at Zuora, sits down with Shivali Goyal, CEO of Trupeer.ai, for an in-depth conversation about AI's transformation of enterprise content and knowledge management. After meeting Pritish (Trupeer's co-founder) at a Bangalore event and being "blown away" by the first demo, Karthik implemented Trupeer across multiple functions at Zuora. This conversation explores Shivali's unconventional journey from Boston Consulting Group to startup founder, the critical problem Trupeer solves for enterprises, why context awareness is the key to AI success, real-world adoption stories from Zuora, and actionable advice for CIOs and rising graduates navigating the AI revolution. It was truly an honor to be featured on the podcast of someone who's led major transformations at top organizations.
This episode marks the beginning of Karthik Krishnan's podcast series, where he connects with innovators solving problems in new ways. As CIO at Zuora and a leader who has driven major technology transformations, Karthik brings a unique enterprise perspective to conversations about AI adoption. His first guest? Shivali Goyal, whose company he discovered just a month earlier and immediately implemented across his organization.
The Origin Story: From Event to Enterprise Adoption
Karthik met Pritish Gupta, Trupeer's co-founder, at an event in Bangalore. The conversation led to a follow-up call, and when Karthik saw the first demo, his reaction was immediate: "Wow. You could take a screen recording and do a highly polished video with avatars and multiple languages."
What started as curiosity became real-world implementation at Zuora, beginning with the training team and scaling across multiple functions. Hearing about this adoption experience from someone who's led transformations at top organizations made this conversation particularly special for Shivali.
Key Topics Covered:
The spark behind Trupeer: How personal pain points at startups revealed a universal enterprise problem—the content layer on software is broken
The $3,000 video story: Shivali's experience spending thousands of dollars and 15+ hours of back-and-forth with agencies to produce a single video
Pritish's parallel experience: Training operations and sales teams on Salesforce and common tools was always a hassle, with constant questions about how to use features
The democratization vision: Why video creation shouldn't be limited to people with money, video editing skills, or scripting expertise anyone with context should be able to create professional content
From Zuora University to enterprise-wide adoption: How Karthik started with the training team at Zuora and watched Trupeer scale across multiple functions as teams discovered new use cases
The magic of multimodal outputs: Screen recordings transform into both professional videos AND step-by-step guides automatically
Context awareness is everything: Why AI's ability to understand domain context separates useful tools from noise pattern recognition alone isn't enough
The orchestration challenge: Why humans still need deep domain understanding to orchestrate AI effectively you can't skip knowing the core business or foundational software principles
General models vs. specialized models: Shivali's contrarian tech prediction that general intelligence will take over (like how LLMs completely replaced specialized translation models)
Skills for the AI era:
Hard skills: Get familiar with all AI tools, build prototypes rapidly (you don't need engineers to prove a business concept)
Soft skills: Communication, customer/people empathy, and design sense—the human elements AI can't replicate
Advice for CIOs: Test rapidly, don't wait for perfection by the time you deploy something at enterprise scale, the world will have moved on. Bring conviction with real metrics.
Rapid-fire insights:
If Trupeer were a person: "An extreme extrovert at a party, wanting to talk to everybody—open and accessible"
Tech prediction: General models will dominate over specialized solutions
One piece of advice: Test fast, validate with metrics