Orange turned FinOps from a central team task into everyday engineering behavior through community practices, gamified "Clean Days," and a change-management approach. The company now plans to extend reach using staged AI agents that inform, suggest, and automate work.
Orange mapped FinOps work to four change levers — conviction, formal mechanisms, role modeling, and skills — to make responsible cloud spending an organizational habit.
A FinOps Community of Practice scaled learning and operational updates beyond the central team, keeping sessions actionable and repeatable.
Introduce agents only after establishing trust: start with read-only insight agents, then add remediation and orchestration agents to reduce cognitive load and automate routine fixes.
Experienced practitioners guide the newcomers, so people learn the work while doing it. Together with gamified hackathons, they've earned the company's 100-plus person FinOps community a Net Promoter Score within the organization that's above 70. Recent State of FinOps reports identify getting engineers to take action as one of the top challenges organizations face.
What happens beyond 100 people A community of 100 engaged people is an achievement. Business change problems have known solutions. Direct action carries operational risk, so manage it carefully.
FinOps everyone's responsibility | Google Cloud Blog Telecommunications. By the end of the day, sponsors can see the results. Those numbers point at something the wider industry is wrestling with.
From tokenmaxxing to token discipline: Orange considers how to measure the efficacy of agentic AI in network operations Orange Fellow and VP of Cloud and Software Engineering Philippe Ensarguet recently…
As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting their margins and budgets. To get a real return on AI, financial operations (FinOps) and cost management must evolve alongside technology, giving you clear visibility, proactive cost controls
This blog post is the fourth and final installment of The Economics of Agent Optimization, which shares the strategies, capabilities, and proof points that can help you optimize agent costs and run AI as a managed investment system on Microsoft Foundry. The post The Economics of Agent Optimization: How AI agent governa
What is AgentOps?AgentOps is the operating discipline for building, deploying and...
The internet connected billions of people and mobile devices, putting computers in every hand. Now, we’re in the middle of the next big technology shift, deploying millions of autonomous AI agents to work alongside employees and end users. Today, we announced new FinOps controls for Gemini Enterprise to help organizati
AI (Artificial Intelligence) နည်းပညာက အá€á€¯á€¡á€á€»á€á€”်မှာ နေရာá€á€á€¯á€„်းမှာ ရှá€á€”ေပါပြီዠဒါပေမဲ့ “AI ကá€á€¯ ဘယ်ကနေ စလေ့လာရမလဲአအမြန်ဆုံး á€á€á€ºá€™á€¼á€±á€¬á€€á€ºá€¡á€±á€¬á€„်â
Loading more related stories...
Open the app view to save this story, compare related coverage, and continue from the same source.