Stacklet unveils AI-led cloud tools to speed up cost savings

Stacklet has introduced new AI-driven features to its cloud usage optimisation and governance platform, prioritising faster transitions from cost insight to savings.

The key enhancement is the rollout of Jun0, an AI assistant designed to facilitate agentic experiences for FinOps and engineering teams. The company states that these advances help teams reduce their Mean Time to Savings (MTTS) by enabling preventative policies and streamlined remedial actions.

The new features are anchored by the launch of the Cloud Action Center, which provides resource owners with tools to act promptly on savings opportunities. The platform integrates with widely used collaboration tools such as Slack and Jira, aiming to reduce resource wastage and increase accountability.

Data from the FinOps Foundation's State of FinOps report was cited by Stacklet to underline growing industry concerns over cloud wastage, with waste reduction remaining the top priority for FinOps teams for the last two years. The 2025 edition of the report identifies scalable policy and governance as the next primary concern, emphasising the challenge of achieving enduring savings across complex engineering environments.

Stacklet describes its approach as shifting away from reactive, reporting-focused tools towards a model that prioritises actionable outcomes through developer-friendly remediation and preventative policy enforcement.

The enhancements to the platform are intended to increase developer engagement, accelerate MTTS, and deliver continuous optimisation at scale via policy-driven workflows. Lindbergh Matillano, Director Cloud Optimization at Avalara, stated, "Stacklet has helped us save millions of dollars by driving action across multiple engineering teams and reducing our Mean Time to Savings. Its developer-friendly approach to FinOps governance as code has already made it a hit with our engineering teams. The new agentic experience in Jun0 builds on that foundation—making it even easier to surface and act on optimisation opportunities, reduce time to action to one-sixth of what it was, and deliver measurable results through features like Cloud Action Center and Campaigns."

The update introduces several elements: an AI agent for FinOps and engineering that enables users to dry-run policies, query cost data, and take actions using natural language; the Cloud Action Center with integration options; usage optimisation campaigns that coordinate savings efforts; and an MTTS Tracker to analyse and improve the process from cost insight to verified saving.

Travis Stanfield, Co-Founder and Chief Executive Officer at Stacklet, commented, "We built Stacklet to go beyond visibility—to help teams take action and lower their Mean Time to Savings. With these new capabilities, including agentic AI, users—whether in FinOps or engineering—can drive policy and cost changes, accelerate outcomes, and scale governance like never before."

Stacklet has indicated that the platform's latest features will offer preview access to selected users. The new tools are framed as solutions to persistent challenges in cloud waste reduction and policy enforcement, aiming to foster a more actionable and accountable operational environment for engineering and FinOps practitioners.