Turn cloud optimisation recommendations into action
New Gartner® research explores how AI agents can help organisations move from identifying cloud savings to actually realising them.
Get practical insight into AI-powered FinOps, including architecture diagrams, build-vs-buy frameworks and metrics from an organisation already using AI agents for FinOps automation.
Inside the report, discover:
- How to prioritise recommendations based on their likelihood of being implemented
- How AI agents can reduce recommendation fatigue
- How feedback loops can improve future recommendations
- How specialised AI agents can simplify complex FinOps workflows
Our Key Takeaways From The Report
- Recommendations are only valuable when they’re acted on
How AI can prioritise opportunities based on their likelihood of execution. - Build vs. buy matters
When custom AI agents can improve FinOps outcomes and reduce recommendation fatigue. - Feedback loops make AI smarter
How understanding rejected recommendations can improve future recommendations. - Specialised agents can reduce complexity
How multiple agents can work together across complex cloud workflows - FinOps needs to scale with cloud complexity
Rightsizing relies heavily on dedicated FinOps expertise, which can be difficult to scale. AI agents can help extend FinOps capabilities across cloud environments and development teams.
Why this matters
Cloud hosting can represent 14–25% of total IT spend, according to Gartner®'s IT Key Metrics Data 2026, with that proportion expected to continue increasing.
As organisations simultaneously increase AI investment and come under greater pressure to optimise technology spend, the ability to automate and scale FinOps becomes increasingly important.
AI agents can help bridge the gap between identifying cloud savings and actually realising them, turning optimisation recommendations into measurable ROI.
Fill in the form opposite to download the Gartner® report
Discover how AI-powered FinOps can help your organisation improve cloud cost optimisation, increase recommendation adoption and scale savings across complex cloud environments.
Download the report to explore the opportunity for AI agents in FinOps.
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