Reading Time: 11 minutes In brief: AI tokenomics is still emerging, and cost per token is only one part of the measurement challenge. Enterprises need governance that connects AI consumption to cost, quality, risk, adoption, and business outcomes. While standards are still forming, organizations should build a practical operating model to make better AI investment…
Reading Time: 6 minute In short: Flexera’s 2026 ITAM Report shows that ITAM teams are entering a new era of the technology economy, where cloud, SaaS, and AI costs are harder to see, forecast, and manage. For practitioners, the opportunity is not to become AI cost experts overnight, but to build new skills and stronger…
Reading Time: 2 minute In short: Vendor licensing changes alter software spending, update planning, AI cost governance, and audit exposure across large publishers. Learn how to build visibility and share the fact base needed to act before cost and compliance pressures narrow their options. Software licensing becomes harder to manage and easier to make mistakes.…
Reading Time: 6 minute In short: Cloud, SaaS and software licenses are often managed separately. For CFOs, this makes waste harder to spot, savings harder to save, and investment decisions harder to defend. A stronger operating model gives finance, IT, procurement, and business teams a shared way to manage spend before value is lost. This…
Reading Time: 6 minute In short: There’s a lot of noise around token-based AI scoreboards, but measures of success are poor. We highlight the risks to token burn benefits and outline a better FinOps-for-AI approach that focuses on visibility, guardrails, cost attribution, and business outcomes. When organizations can measure something, there is always a temptation…
Reading Time: 7 minute In short: The NVIDIA RTX Spark announcement adds momentum to the shift toward more powerful AI at the endpoint, but for most organizations, the bigger issue is readiness. Success will depend on the infrastructure, governance, support, and lifecycle planning required to scale AI effectively. NVIDIA and Microsoft have introduced RTX Spark,…
Reading Time: 5 minute In short: AI cost management is becoming one of the next big challenges of FinOps. Token-based pricing, model routing, caching, workload placement, and vendor consumption models create new layers of complexity for enterprise technology leaders. These standards are still being developed, but the costs are real, which means organizations must start…
Reading Time: 2 minute In short: This ebook explores how organizations can safely harness the value of generative AI by building a strong governance and security framework. This document outlines the limitations, policies, and technical safeguards needed to reduce risk while enabling innovation, especially as AI adoption accelerates across businesses. Increase your AI knowledge with…
Reading Time: 6 minute In short: FinOps is no longer just about cloud costs. This increasingly aims to maximize the value of technology throughout the region. AI, SaaS deployments, and fragmented ownership mean organizations need to improve cross-functional visibility, governance, and accountability. For years, FinOps was a cloud conversation. The goals sound simple enough: reduce…
Reading Time: 2 minute In short: Most organizations have moved on from AI experiments, but few have built the structures necessary to sustain real results. This ebook outlines a practical framework for turning initial use cases into production-ready capabilities by aligning strategy, team, and technology. Increase your AI knowledge with our five-part ebook series, designed…
