ABOUT

Lindsey is VP of Marketing at Mavvrik, where she focuses on the growing cost of AI and how enterprises can scale it responsibly. She writes and thinks about AI economics: how unchecked spend creates financial and operational risk, how AI investment connects to margin and ROI, and how finance, engineering, and AI leaders can bring real governance to a problem most companies are still ignoring.

Recent Posts

How to Track AI Costs in 2026: From Usage Logs to Cost-to-Serve

AI cost tracking in 2026 requires more than monitoring token spend or reviewing provider invoices. This guide explains how finance, FinOps, and engineering teams can track AI costs across workflows, customers, and environments using metrics like cost per inference, cost per workflow, and cost-to-serve.

FinOps for AI: Build vs Buy

Building AI cost management internally sounds manageable until the integration and maintenance burden becomes clear. This article breaks down the cost, time, and visibility tradeoffs between building in-house and using a purpose-built platform.

Google Cloud Next 2026: What You Need to Know About AI Costs

Google Cloud Next 2026 confirmed that AI is no longer experimental infrastructure. As agentic AI adoption accelerates, enterprises are facing new cost challenges tied to token usage, distributed services, cross-cloud architectures, and continuous inference workloads.