How do you manage cloud costs for an app where a 50ms delay can impact a user's trade? In this episode, Dhruv Pathak (Co-founder & CTO of INDmoney) explains the transition from travel tech to fintech and why the future of cloud management requires autonomous action.

Key Highlights:

• The Latency Equation: Why travel users accept a 1-second delay for a better price, but trading users require sub-millisecond accuracy.
• The Bloat Myth: Dhruv explains why security isn't the primary cost driver; instead, it’s the ease of spawning unutilized infrastructure through human inefficiency.
• Agentic Scaling: Discover how AI agents allow lean teams to replicate FinOps optimizations across dozens of accounts simultaneously with 1/10th the effort.
• The Human Guardrail: Why high-stakes fintech environments still require a "Human in the Loop" for sensitive production changes and compliance.
• Forecasting with AI: How using AI tools helps CTOs better predict hiring needs and build leaner, more efficient teams.

Chapter Markers:

00:00 – Intro: From Goibibo to the INDmoney SuperApp

01:10 – Handling 40% traffic spikes during market opens

03:15 – Travel vs. Fintech: Accuracy and the 20ms threshold

07:30 – Compliance as a prerequisite for "peaceful sleep"

11:00 – Identifying "Human-Induced Inefficiency" in the cloud

13:40 – Moving from manual scripts to Agentic AI scalability

16:50 – Self-healing infra: Sandbox vs. Production reality

19:35 – Advice for CTOs: Starting the FinOps journey

24:50 – What’s next for Dhruv Pathak?

Connect with us: Powered by Cloudgov.ai – where AI turns cloud cost management into autonomous action.

From quick wins to real change.

When you’ve helped enterprises cut millions in cloud waste across AWS, Azure, and GCP, and built the governance models that keep those savings alive, you understand what sustainable FinOps really means. Jean Latiere, Cloud Financial Management Specialist at OptimNow and contributor to the FinOps Foundation’s Sustainability and FinOps for AI working groups, joins host Kevin Rosenquist to explore how Agentic AI, culture, and environmental impact are reshaping the future of cloud financial management.

In this episode of Unclouded: The Agentic AI FinOps Podcast by Cloudgov.ai, Jean breaks down what happens when organizations stop chasing one-off optimizations and start building FinOps habits that last. From cloud carbon footprint and GenAI power demands to autonomous guardrails and AI-driven governance, this conversation connects cost, culture, and sustainability in a way few discussions in the FinOps world ever do.

In this episode:

• Why one-time optimizations never stick
• How to build a real FinOps culture that teams actually follow
• The environmental impact of cloud and GenAI workloads
• Why cost savings and carbon savings often overlap
• How region choice affects both budget and carbon footprint
• Using Agentic AI to enforce tagging, cleanup, and governance
• Why autonomous AI agents will change FinOps forever
• What FinOps will look like in the next 2–3 years

Whether you’re a FinOps leader, cloud architect, or sustainability advocate looking to understand how AI can help control both cloud cost and carbon impact, this episode delivers the clarity and direction you’ve been looking for.

Listen. Learn. Stay Unclouded. Brought to you by Cloudgov.ai, the world’s first Agentic AI FinOps platform.

Timestamps:

01:03 – Why one-time optimizations never last

01:35 – The optimization trap enterprises fall into

03:33 – Why FinOps success is cultural, not technical

04:05 – Creating shared language between engineering and finance

06:03 – Better cost allocation without friction

07:24 – The true environmental impact of cloud and GenAI

08:30 – Why AI workloads strain power, cooling, and water

09:25 – Should sustainability metrics be part of FinOps?

10:33 – Where cost savings and carbon savings overlap

11:04 – Region choice, carbon intensity, and tradeoffs

12:14 – How Agentic AI optimizes more than cost

12:52 – AI agents for tagging, cleanup, and governance

14:07 – Balancing AI automation with human oversight

15:02 – Forecasting, planning, and AI “clones” of environments

16:02 – Scaling Agentic AI in enterprise environments

17:30 – Where FinOps is headed in the next 2–3 years

20:17 – Jean explains Agentic AI for French listeners

22:03 – Rapid-Fire Round: sustainability, waste, and ESG

From dashboards to decisions.

When you’ve helped build Google Cloud’s FinOps practice from the ground up and guided more than a hundred enterprises toward smarter, AI-powered cost optimization, you understand what efficiency really means. Pathik Sharma, Cloud FinOps Cost Optimization Lead at Google Cloud, joins host Kevin Rosenquist to explore how Agentic AI is reshaping the way organizations manage cloud costs and why culture, not just tools, determines FinOps success.

In this episode of Unclouded: The Agentic AI FinOps Podcast by Cloudgov.ai, Pathik breaks down what happens when AI doesn’t just analyze data, it acts on it. From anomaly detection and automation to embedding cost awareness in every developer’s workflow, this conversation shows how Agentic AI is taking FinOps from reactive to truly self-optimizing.

In this episode:

• Why most FinOps programs fail and how to fix them
• Finding the right balance between automation and human control
• The dangers of over-automation (and what to do instead)
• Building smarter cost anomaly detection that teams actually trust
• How AI-powered guardrails prevent waste before it happens
• Why FinOps is a culture, not a toolset
• The story behind Pathik’s viral FinOps SketchNotes
• What “AI-augmented decision-making” means for the future of FinOps

Whether you’re a FinOps leader, engineer, or executive looking to understand how AI can finally connect cost, culture, and accountability, this episode delivers practical insight with a human touch.

Listen. Learn. Stay Unclouded. Brought to you by Cloudgov.ai, the world’s first Agentic AI FinOps platform.

Timestamps:

01:00 - Why FinOps gets ignored until it’s too late

03:05 - From data centers to cloud: how cost ownership changed

04:33 - Balancing automation with human judgment

07:29 - The dangers of over-automation

10:23 - Real-world examples and lessons learned

11:12 - Detecting anomalies before they burn your budget

15:00 - Making FinOps culture stick

18:00 - Shifting from cost-cutting to value creation

20:04 - Bridging the gap between finance and engineering

23:04 - Turning FinOps into something people actually enjoy

25:51 - The art and impact of FinOps SketchNotes

27:14 - Rapid-Fire Round: myths, metrics, and the road to