Your AI spend is growing. Your visibility into it isn’t.
1+ day
to answer basic AI spend questions, not hours.
3+
people typically looped in just to get a numbers.
~50%
of AI spend missing from the answer you got.
AI spending is nondeterministic by nature. A task might consume 5,000 tokens or 50,000 — and right now, most organizations can’t tell you which, why, or who’s responsible. Answering even basic questions about monthly AI spend typically takes days to weeks, involves multiple people, and still comes back missing roughly half the picture.
That’s the problem Mavvrik was built to solve. In this independent report, 451 Research analyst, William Fellows, takes a close look at what they’ve built, where they’re headed, and how they stack up in a crowded FinOps market being rapidly reshaped by enterprise AI.
“Mavvrik has moved quickly beyond traditional cloud FinOps into AI workload cost governance and is an emerging player in the intersection of FinOps, AI operations and enterprise financial management.”
William Fellows, Research Analyst, 451 Research / S&P Global
Three findings the report gets into:
01
Agentic AI is the fastest-growing, least-governed layer of enterprise spend.
451 Research calls agentic workloads the fastest-growing and least-governed layer of enterprise AI spending. Mavvrik’s Agentic Cost Intelligence SDK captures cost and usage data across multi-step agent workflows — model calls, tool usage, retries, orchestration overhead — without requiring changes to existing code.
02
The Ingram Micro partnership could meaningfully accelerate Mavvrik’s market reach.
451 Research notes that the new channel agreement with Ingram Micro, one of the world’s largest technology distributors, could meaningfully accelerate Mavvrik’s reach through Ingram’s MSP, reseller, and channel network.
03
A single source of truth across your entire AI and cloud stack.
451 Research identifies Mavvrik’s core strength as bringing unified cost visibility, flexible reporting, and automation across both infrastructure and AI stacks, at a moment when organizations need far more than what cloud providers or AI vendors offer natively. One platform. One version of the data.
One platform. Four layers of AI cost visibility.
The 451 Research describes Mavvrik’s platform as covering the full stack: GenAI services, agentic workloads, infrastructure, and SaaS and data, unified into a single cost management system.
GenAI services. Token-level tracking across OpenAI, Anthropic, Google, Meta, and private models.
Infrastructure. AWS, Azure, GCP, on-premises GPU clusters, and Kubernetes workloads.
Agentic workloads. Multi-step agent workflows tracked and attributed at the agent and session level.
SaaS and data. Snowflake, Databricks, MongoDB, Confluent, Datadog, and more via CSV connector.