What’s inside the report:
Cost ownership has moved out of finance and into engineering, and the platform teams who run the IDP now answer for spend committed long before anyone sees the bill. This market guide shows platform engineering teams how to make FinOps a platform capability, using real practitioner data, vendor breakdowns, and strategic recommendations for treating economics as part of the platform rather than a report someone reviews after the money is spent.

Key takeaways

• Shift cost control down into the platform: Asking developers to act on cost estimates in every pull request adds to their load, and only 39% of practitioners enjoy cost work. Put sensible defaults into golden paths, service templates and platform automation so the cheaper choice is the default.

• Measure AI by outcome, not tokens: Cutting the tokens used per action can trigger more retries and failures, so the total cost goes up. Judge every AI optimization on cost per successful, quality-adjusted outcome.

• Pick tools on safe execution, not recommendation volume: 77% of practitioners rank workload optimization and waste reduction as a top priority, and most still rely on native cloud consoles. Look for rollback, SLO awareness and graduated autonomy before handing a tool control of production.