Cloudgov

Agentic AI is reshaping the enterprise. It's also reshaping the bill. Meet Cloudgov.ai at AWS Summit Bengaluru. April 22-23, 2026 | KTPO Exhibition Center, Whitefield If you're building on Amazon Bedrock, AgentCore, Nova, or running production workloads across a multicloud footprint - the FinOps problem has changed. It's no longer just rightsizing, reservations, and commitment math. It's: → Governing token consumption across dozens of models and agents → Enforcing policy before an autonomous workflow runs — not after the invoice lands → Routing inference to the right model at the right cost for the right task → Giving platform, FinOps, and security teams a single ground truth across AWS, Azure, GCP, and private LLMs What we're bringing to the Summit: → Cloudgov.ai platform - Agentic AI FinOps across your multicloud estate. Showback, chargeback, anomaly detection, and policy enforcement, all agent-driven. → TokenShield - model-level spend governance purpose-built for the LLM era. Unit economics on every prompt, every agent, every workflow. If you own cloud platforms, SRE, ML infrastructure, or the FinOps practice — bring your hardest questions. Agentic. Autonomous. Well operated. Book a technical deep-dive on-site - https://lnkd.in/dhA_A2bD #AWSSummit #AWSSummitBengaluru #AgenticAI #FinOps #AICostGovernance #TokenShield #Cloudgov

AI at Scale: Leadership Series 📅 Tuesday, April 28th, 2026 | 9:00 AM PST AI adoption is a leadership advantage. AI governance is the competitive edge. We will show you how to build cost enforcement, security governance, and automated guardrails into every AI call - across Claude, OpenAI, Gemini, and every model their teams use. Automate AI Token Cost & Security Governance → Proactive cost governance across Claude, OpenAI, Gemini, and 1200+ AI models → Automated security guardrail enforcement - without slowing engineering velocity → A proven framework for governing AI token cost across every model, every call, and every cloud Register here: https://lnkd.in/dr7X7Bdz #AIGovernance #FinOps #CloudCostOptimization #MulticloudStrategy #AIatScale #EnterpriseAI #CostOptimization #AgenticAI #GenAI #LLM #Token #CloudGovernance #AILeadership #Cloudgov

Cloudgov is heading to AWS Summit Paris 2026! ☁️🇫🇷 Join us tomorrow at the Palais des Congrès de Paris, where the world's cloud innovators gather for a full day of groundbreaking keynotes, hands-on sessions, and cutting-edge AI demos. This year's Summit puts the spotlight on Agentic AI, cloud modernization, and the next wave of intelligent infrastructure and we're excited to show how Cloudgov is shifting multicloud cost management from reactive dashboards to autonomous, Agentic AI-driven governance. If you're attending, let's connect! We'd love to explore how we can help your organization take control of cloud costs intelligently. 📅 April 1, 2026 📍 Palais des Congrès, Paris, France Schedule a Meeting 👇 https://lnkd.in/dxDcQ3QQ #AWSSummitParis #AWS #MulticloudCostManagement #AgenticAI #Paris

Your FinOps team isn't slow. It's buried in tasks that should never have needed a human. Budget alerts that nobody acted on. Anomalies caught days late. Commitment decisions made on gut feel because the data lives in three different places. At enterprise scale, that lag isn't a process problem, it's a cost problem. A single undetected runaway job can burn $50K before a ticket gets raised. The fix isn't more headcount. It's saving human effort for strategic decisions and letting automation handle the parts of FinOps it does better and faster. 10 automation workflows. From real-time anomaly detection to intelligent commitment purchasing across AWS, Azure, and GCP. We break down exactly how high-performing FinOps teams are running them. If your team is still doing this manually, this one's worth your time. Full blog link in the comments ↓ #FinOps #CloudCostOptimization #CloudAutomation #EnterpriseCloud #AgenticAI #AutomationWorkflows

$80,000 in cloud charges. One weekend query. Nobody looked until Monday. This is what reactive FinOps costs you - not just in dollars, but in trust, in margin, and in decisions nobody catches until it is already too late. Pathik Sharma, Cloud FinOps Optimization Lead at Google, has guided over 100 organizations out of exactly this trap. He helped build Google Cloud's FinOps practice from scratch, and he knows where the real problems hide. His take? The industry needs to stop thinking about cloud costs as something you track and start building systems that turn insights into action before waste ever happens. That is precisely the problem cloudgov.ai was built to solve. Host Kevin and Pathik get into: → What a cost alert needs to look like before teams will actually act on it → The disaster recovery instance that automation silently killed → Putting cost awareness directly in the developer's workflow  → Where the finance vs. engineering blame cycle starts and how to end it → How agentic AI shifts FinOps from hindsight to prevention 🎙️Watch the full episode on Youtube now:  https://lnkd.in/dy6eny9y #FinOps #CloudOptimization #GoogleCloud #AgenticAI #EngineeringLeadership

The 2026 FinOps Framework update is clear: FinOps for AI is now its own category, because AI spend behaves differently. And the numbers prove that most organizations aren't ready for it. 🟪 $37B in enterprise Gen AI spend in 2025. Most without model-level attribution. 🟪 85% miss AI spend forecasts by >10%. 🟪 Only 51% can confidently measure AI ROI. 🟪 70% of AI projects stall past pilot without cost governance in place. The framework now calls for exactly what's been missing: cost visibility at the model level, usage optimization across inference and training, governance policies that scale with AI investment, and KPIs aligned to AI-specific Scopes.. The industry is catching up to where AI FinOps needs to be. The infrastructure to get there already exists. Swipe to see how Cloudgov.ai operationalizes FinOps for AI and book a demo to see it live. #FinOps #FinOpsForAI #AISpend #CloudGovernance #Cloudgov #GenAI #FinOpsFramework2026

40% traffic spikes. 20ms transaction thresholds. Zero room for error. ⚡ Dhruv Pathak has spent his career engineering platforms where this is simply the baseline. From building Goibibo's founding tech team to engineering one of India's most demanding financial platforms, Dhruv brings a hard-earned perspective on what cloud cost optimization really demands at this level of scale. Host Kevin and Dhruv get into: → Managing market-open traffic spikes at scale → Operating under 20ms transaction thresholds → Where Agentic AI fits into your cloud strategy 🎙️ Full episode is LIVE on YouTube now: https://lnkd.in/daNircKE FinOps practitioners, VPs of Engineering, CTOs - this one was made for you. #WellOperated #FinOps #CloudOptimization #EngineeringLeadership #AgenticAI #Cloudgov #CTO #FinTech

Cloudgov.ai is heading to FinOps X Day London 2026 coming Tuesday, March 24. We're excited to join the conversations shaping the future of cloud financial management, from the rise of autonomous cost optimization and AI for FinOps, to optimizing for value and managing FinOps scopes across modern enterprise environments. If you'll be at CodeNode in London, let's connect. 👋 Book a slot: https://lnkd.in/dxDcQ3QQ #FinOpsX #FinOps #CloudCostOptimization #AgenticAI #London #CloudGov

Most anomaly detection solutions can tell you something changed. The more important question is: how quickly did your team turn that signal into action? That is where FinOps maturity is really tested. An alert is triggered. Someone begins the investigation. They review AWS, GCP, and Azure cost data, gather resource context, identify ownership, and route the issue to the right engineering or finance stakeholders. In many environments, by the time that context is assembled and action is taken, the cost impact has already grown. The challenge is not detection alone. The challenge is time to remediation. For mature FinOps teams, anomaly detection is not judged only by alert accuracy. It is judged by how effectively the organization can move from signal to resolution. That depends on three things: 🟪 A unified multicloud baseline: A normalized view across AWS, Azure, and GCP helps teams identify patterns consistently across environments. 🟪 Context-rich alerting: The most effective alerts include likely cost impact, affected resources, ownership, and routing into the workflows teams already use, such as Slack or Jira. 🟪 Remediation aligned to the point of detection: The faster next steps are surfaced, the faster teams can respond and reduce financial impact. Cloud cost visibility is essential. Operational FinOps maturity comes from how quickly teams can convert visibility into action. How is your team measuring time-to-remediation for cost anomalies today and where does the biggest delay happen: context gathering, ownership, or escalation? #FinOps #CloudFinOps #CloudCostManagement #CloudGovernance #Multicloud #CloudOperations #AnomalyDetection #CloudEconomics #Cloudgov