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FinOps Lessons for the AI Era | Best practices from a startup CEO
Puneet Gupta, Founder & CEO of Amberflo, joins Mala Ramakrishnan to unpack one of the biggest blind spots in AI adoption: cost, governance, and tying LLM usage to real business value.
A former General Manager at Amazon Web Services and founding member of Oracle Cloud Infrastructure, Puneet brings deep cloud infrastructure experience to the AI era. In this conversation, he explains why token usage is exploding, why experiments don’t translate cleanly into production, and why enterprises must “get ahead of the bill” with AI governance.The episode dives into AI gateways, attribution models, multi-cloud realities, usage-based pricing, and the leadership discipline required to scale startups without chasing false momentum.
If you're a founder, CIO, or operator deploying AI at scale, this episode is a practical guide to managing cost, governance, and long-term strategy.
________________________________________________________
Timestamps
00:00 Intro and Puneet’s background
01:00 Early days at AWS and cloud lessons
02:00 The origin story of Amberflo
03:00 Inside AWS metering and billing systems
04:30 Usage-based business models in the cloud era
06:00 From billing to AI governance and FinOps
07:30 Moving from AI experiments to production
09:00 Why LLM token usage explodes with agents
10:30 Tying AI spend to business outcomes
11:45 Why parsing vendor bills isn’t enough
12:30 The rise of AI gateways
14:00 CIO use cases: cost control and developer tooling
15:30 Product-facing AI attribution challenges
16:30 Context windows and unpredictable token costs
17:30 Founder advice: don’t confuse momentum with progress
19:00 Choosing the right design partners
20:30 Why founders must focus on a niche
22:00 Lessons from building metering before billing
24:00 Is AI overhyped? What will last
25:30 Multi-cloud strategy and competing with hyperscalers
27:00 Final thoughts on AI infrastructure opportunity
________________________________________________________
🔗 Connect with Puneet Gupta → https://www.linkedin.com/in/puneetguptausa/
🔗 Connect with Mala Ramakrishnan → https://www.linkedin.com/in/malaramakrishnan
🎧 Subscribe to the podcast
Youtube: https://www.youtube.com/channel/UCnL3D6aI60R-cCvypFIkh4A
Spotify: https://open.spotify.com/show/1NIDE4cT5fuVjC3HaGbCDK?si=eoSTNmhqQNKHQl9d1Jx0UQ
Apple Podcast: https://podcastsconnect.apple.com/my-podcasts/show/talking-to-the-leaders-of-ai-the-ceo-series-with-mala/22ad2bae-502b-4eb1-aa74-53bc79754db7
Visit our Website: www.malaramakrishnan.com | www.founderscreative.ai
View all episodes
By Mala RamakrishnanPuneet Gupta, Founder & CEO of Amberflo, joins Mala Ramakrishnan to unpack one of the biggest blind spots in AI adoption: cost, governance, and tying LLM usage to real business value.
A former General Manager at Amazon Web Services and founding member of Oracle Cloud Infrastructure, Puneet brings deep cloud infrastructure experience to the AI era. In this conversation, he explains why token usage is exploding, why experiments don’t translate cleanly into production, and why enterprises must “get ahead of the bill” with AI governance.The episode dives into AI gateways, attribution models, multi-cloud realities, usage-based pricing, and the leadership discipline required to scale startups without chasing false momentum.
If you're a founder, CIO, or operator deploying AI at scale, this episode is a practical guide to managing cost, governance, and long-term strategy.
________________________________________________________
Timestamps
00:00 Intro and Puneet’s background
01:00 Early days at AWS and cloud lessons
02:00 The origin story of Amberflo
03:00 Inside AWS metering and billing systems
04:30 Usage-based business models in the cloud era
06:00 From billing to AI governance and FinOps
07:30 Moving from AI experiments to production
09:00 Why LLM token usage explodes with agents
10:30 Tying AI spend to business outcomes
11:45 Why parsing vendor bills isn’t enough
12:30 The rise of AI gateways
14:00 CIO use cases: cost control and developer tooling
15:30 Product-facing AI attribution challenges
16:30 Context windows and unpredictable token costs
17:30 Founder advice: don’t confuse momentum with progress
19:00 Choosing the right design partners
20:30 Why founders must focus on a niche
22:00 Lessons from building metering before billing
24:00 Is AI overhyped? What will last
25:30 Multi-cloud strategy and competing with hyperscalers
27:00 Final thoughts on AI infrastructure opportunity
________________________________________________________
🔗 Connect with Puneet Gupta → https://www.linkedin.com/in/puneetguptausa/
🔗 Connect with Mala Ramakrishnan → https://www.linkedin.com/in/malaramakrishnan
🎧 Subscribe to the podcast
Youtube: https://www.youtube.com/channel/UCnL3D6aI60R-cCvypFIkh4A
Spotify: https://open.spotify.com/show/1NIDE4cT5fuVjC3HaGbCDK?si=eoSTNmhqQNKHQl9d1Jx0UQ
Apple Podcast: https://podcastsconnect.apple.com/my-podcasts/show/talking-to-the-leaders-of-ai-the-ceo-series-with-mala/22ad2bae-502b-4eb1-aa74-53bc79754db7
Visit our Website: www.malaramakrishnan.com | www.founderscreative.ai