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FinOps X 2026 · June 8-11 · San Diego

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AI for FinOps

In addition to managing AI Value (FinOps for AI) to maximize the value of AI investments, FinOps practitioners must use AI to make the FinOps practice itself faster, more accurate, and more scalable. 81% of practitioners in the State of FinOps 2026 survey cite AI as an important productivity tool within their practice. Generative and Agentic AI use can scale the abilities and impact of FinOps practitioners. Building these skills now is critical.

Early use cases are already emerging: anomaly detection and faster alerting, automated right-sizing recommendations, natural language querying of cost data, automated discount instrument procurement, and tagging resources to speed up allocation. Standards like the Model Context Protocol (MCP) are enabling AI agents to connect directly to cloud billing APIs, cost management tools, and FinOps data sources, turning natural language questions into real-time cost analysis without custom integration work.

AI for FinOps may follow a similar path to other FinOps tooling: starting as an advantage for advanced teams before becoming standard practice. With 81% of teams operating lean, centralized enablement models, AI-driven productivity and automation offer a way to scale without headcount—amplifying practitioner capability rather than replacing expertise.

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FinOps for Technology Categories

FinOps applies across an expanding range of technology investments, from public cloud and SaaS to AI, data platforms, and data centers.

Architecting for Value

Designing modern solutions with value, cost, and performance built in from the start.

AI Value

Understanding, measuring, and maximizing the business value of AI investments using FinOps practices across the technology portfolio.

FinOps Scopes

FinOps Scopes are segments of technology-related spending to which FinOps Practitioners apply FinOps concepts.

Optimizing for Value

Maximizing value from technology investments by enabling informed, timely decisions that shift the conversation from managing costs to maximizing business outcomes.

Adopting FinOps

Build a FinOps practice that maximizes technology value, starting with the greatest need and scaling through centralized enablement, distributed execution, and executive alignment.

Executive Strategy Alignment

Connecting technology spend, usage, and adoption to business strategy, helping leaders compare options, make tradeoffs, and govern investment for value.

Intersecting Disciplines

Where and how FinOps intersects with ITFM, ITAM/SAM, ITSM, Platform Engineering, Sustainability, and other disciplines to streamline outputs and increase value from technology investments.

FinOps Open Cost and Usage Specification

FOCUS is the unifying language for technology value and an open specification that normalizes cost and usage data across cloud, SaaS, data center, and other technology providers.