Implementing Full Stack AI Cost Attribution

May 20, 2026
10:00 AM CST
Online

Join Safi, Mavvrik’s CTO and Co-Founder, as he walks through how to trace AI spend end-to-end, from GPU/infrastructure through model calls, agent workflows, and ultimately to business outcomes.

Learn how to trace every dollar of AI spend and how to answer a CFO who asks what the company actually got for $2M in AI spend?

During this live webinar, we’ll cover three playbooks:

  1. Infra & private AI cost allocation

    Allocation GPU and shared infrastructure costs by team, business unit, and model workload, including K8s environments where no built-in billing exists.

  2. GenAI spend attribution across providers

    Trace token costs, model calls, and API spend across every provider to the feature, customer, or team that generated them, in one unified view.

  3. Agentic cost measurement tied to real outcomes

    Track multi-step agent workflows end-to-end and tie costs to real business results, like cost-per-resolved ticket, so you can optimize what actually matters.

The Latest on AI Cost Governance

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.

Mavvrik is the financial control center for modern IT, providing enterprises with complete visibility, automation, and governance across cloud, AI, SaaS, and on-prem infrastructure. Built for CFOs, FinOps, and IT leaders, Mavvrik eliminates financial blind spots, enforces accountability, and transforms IT costs into strategic investments. With real-time cost tracking, automated chargebacks, and predictive budget controls, Mavvrik helps enterprises reduce waste, optimize AI and hybrid cloud spend, and maintain financial precision at scale.

Benchmarkit uses metrics and benchmarks to align B2B SaaS executives across the entire customer journey including customer acquisition, retention, and expansion, leading to better metrics-informed and benchmark-validated decisions. Benchmarkit’s vision is to enable every B2B SaaS company to increase revenue growth efficiency and enterprise value by having free access to the most timely and contextual benchmarks available in the industry.