Implementing Full Stack AI Cost Attribution.

Join Safi, Mavvrik’s CTO and Co-Founder, as he walks though 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 exits.

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.

Full stack AI cost governance diagram showing agentic costs layered on top of GenAI models, SaaS and data platforms, and cloud and GPU infrastructure with unified visibility and cost attribution

The Latest on AI Cost Governance

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.

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AI cost visibility breaks down when spend is forced into the same monthly reporting model used for cloud infrastructure. This guide covers how to fix it.

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Startups are rapidly building and scaling AI products on Google Cloud, leveraging its full AI stack, from models to GPUs. At Google Cloud Next 2026, companies like Mavvrik are using these capabilities to deliver unified cost visibility and governance across cloud, AI, and SaaS—highlighting how startups are turning complex AI infrastructure into scalable, production-ready systems.

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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.