Beyond the Dashboard: Gaurav Sarda on Invisible FinOps, Enterprise Scale, and Agentic AI

Beyond the Dashboard: Gaurav Sarda on Invisible FinOps, Enterprise Scale, and Agentic AI

In this episode of Well Operated, Kevin sits down with Gaurav Sarda, who leads technology, digital, cloud, and AI at the Mahindra Group. Gaurav shares his experience managing enterprise cloud strategy, platform engineering, and FinOps across a massive multi-business conglomerate. We dive into why legacy dashboards fail modern cloud infrastructure, the sudden transition to autonomous agent workflows, how Mahindra uncovered hidden Kubernetes and extended support costs, and his futuristic vision for "Invisible FinOps" seamlessly embedded into the developer journey. Key Topics: Agentic AI Invisible FinOps Enterprise cloud strategy Democratized self-service operations Kubernetes cost optimization Legacy dashboard limitations Cloud cost visibility Autonomous workflows Unit economics Multi-business cloud governance Timestamps: 00:00 – Intro: Leading Cloud & AI at Mahindra Group 00:58 – Enterprise Scale: Navigating complexity across multiple businesses 01:50 – Why legacy dashboards fail in modern cloud environments 03:10 – Charging Back: Shifting away from centralized FinOps control 04:42 – Switching Gears: The sudden evolution to Agentic AI 05:50 – Invisible FinOps: Embedding intelligence into developer workflows 06:58 – Democratic FinOps: Making cost consciousness self-service 10:55 – Uncovering hidden Kubernetes and extended support costs 12:56 – Reaching the User: Flipping the script on legacy cost reporting 14:55 – Core Principles: Advice for future cloud and finance professionals 19:53 – Attaching technology to clear business outcomes 21:14 – Outro: Keeping your enterprise well operated Guest: Gaurav Sarda, Head of Technology, Digital, Cloud & AI at Mahindra Group LinkedIn: https://www.linkedin.com/in/sardagaurav/ [https://www.linkedin.com/in/sardagaurav/] Mahindra Group: https://www.mahindra.com/ [https://www.mahindra.com/] About Cloudgov.ai [http://Cloudgov.ai]: Cloudgov.ai [http://Cloudgov.ai] is the world’s first Agentic AI FinOps platform, built to help companies autonomously manage cloud costs across AWS, Azure, and GCP. We detect waste, optimize resources, and execute changes safely, all powered by intelligent agents that learn and act on your behalf. Learn more at https://cloudgov.ai [https://cloudgov.ai] #finops #agenticai #cloudoptimization #fintech #finance

Inside Modern FinOps: Dhruv Pathak on Agentic AI, Market Spikes, and Regulatory Guardrails

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 [http://Cloudgov.ai] – where AI turns cloud cost management into autonomous action.

Inside Modern FinOps: Jean Latiere on Agentic AI, Cloud Waste, and Environmental Impact

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 [http://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 [http://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

Inside Google’s FinOps Revolution: Pathik Sharma on Agentic AI and Cloud Efficiency

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 [http://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 [http://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

From Formula 1 to FinOps: Lars Kielhorn on Agentic AI and Cloud Efficiency

From the racetrack to the cloud. When you’ve helped Williams Racing and Dorlton Capital use technology to gain a competitive edge in Formula 1, you understand what performance really means. CIO Lars Kielhorn joins host Kevin Rosenquist to talk about how that same mindset applies to FinOps—and how Agentic AI is driving the next big leap in cloud efficiency. In this premiere episode of Unclouded: The Agentic AI FinOps Podcast by Cloudgov.ai [http://Cloudgov.ai], Lars breaks down what happens when artificial intelligence doesn’t just analyze cloud usage, it acts on it. Together, they explore the shift from reactive cost tracking to autonomous, AI-driven optimization. In this episode: * How data and automation transformed Williams Racing’s performance * Why the rise of Agentic AI is changing FinOps forever * What “self-optimizing” cloud environments look like in real life * How culture. not technology, is often the biggest FinOps barrier * Where AI fits in multi-cloud complexity (AWS, Azure, GCP, and beyond) Whether you’re a FinOps leader, CIO, or just a Formula 1 fan who loves seeing how innovation translates from the track to the enterprise, this conversation delivers both insight and inspiration. Listen. Learn. Stay Unclouded. Brought to you by Cloudgov.ai [http://Cloudgov.ai] — the world’s first Agentic AI FinOps platform. 00:00 - Welcome & Introduction Meet host Kevin Rosenquist and guest Lars Kielhorn — CIO, innovator, and Formula 1 technologist — as they kick off Unclouded: The Agentic AI FinOps Podcast. 01:00 - From Formula 1 to FinOps Lars shares how he helped Dorlton Capital acquire and modernize Williams Racing, and what Formula 1’s data obsession taught him about speed and performance in tech. 06:00 - The Rise of Agentic AI in FinOps Exploring how autonomous systems are transforming cloud cost management and financial decision-making in real time. 10:00 - Building Trust in AI and the Human-in-the-Loop Approach Why confidence and control matter as organizations shift toward self-optimizing cloud environments. 18:00 - Real-World FinOps Challenges From runaway Snowflake bills to multi-cloud complexity — why cost waste happens and how AI can finally stop it. 23:00 - The Future of FinOps How AI will unify FinOps and infrastructure operations, redefine the CIO’s role, and create a truly autonomous cloud. 33:00 - Quick Cloudfire Round & Closing Lightning takes, future predictions, and how to connect with Lars on LinkedIn.