See cost to serve by any dimension.

What’s driving your spend, and who’s accountable

Cost-to-serve isn’t just a pricing exercise. It’s the foundation for FinOps accountability.

Track what’s consuming your infrastructure — LLMs, APIs, users, or features — and allocate spend by environment, team, or product. Build defensible chargeback models, price with precision, and uncover costly usage patterns before they wreck your budget.

Reveal true cost by product, customer, team

Attribute GPU, LLM, and platform costs across SKUs, tenants, or internal teams.

Uncover margin-drains before they scale

Identify high-cost workloads, underperforming SKUs, or over-provisioned AI agents. Drill into cost-to-serve by feature, region, or customer segment to protect your margins.

Forecast the impact of new use case

Model delivery cost before launch – and simulate pricing scenarios based on usage patterns.

Align pricing with usage

Back every price tag with infrastructure data, not just assumptions.

Per-customer cost views

Understand who costs you more than they pay.

Cost allocation

Break down spend by customer, SKU, or use case.

GPU + API usage tracking

Monitor consumption tied to model calls and services.

Budget guardrails

Set spend thresholds and enforce ROI discipline.

Virtual tagging

Fill in missing context where tags fall short.

Margin forecasting

Simulate margins before you launch or scale.

Becky Tamashasky

FAQs

Your questions, answered.

What’s the difference between cloud cost visibility and cost-to-serve?

Cloud cost tools tell you what you spent. Cost-to-serve tells you why — and for whom.
It connects infrastructure consumption to business outcomes like customers, products, features, or internal teams. That’s the insight you need for accurate pricing, chargeback, and strategic planning.

How does cost-to-serve help with FinOps?

FinOps isn’t just about tracking cloud spend — it’s about aligning cost with business outcomes. Cost-to-serve helps FinOps teams connect usage to value: who’s consuming what, where costs are coming from (cloud, on-prem, AI), and whether pricing or chargeback reflects actual delivery costs. It’s how you move from reactive reporting to proactive financial governance.

How can cost-to-serve help with chargeback or showback?

Cost-to-serve provides a defensible foundation for allocating shared infrastructure costs—especially in AI and hybrid setups. Mavvrik lets you build chargeback models by team, feature, or product, using real usage and delivery economics instead of rough allocations.

How does cost-to-serve influence pricing strategy?

If you don’t know the true cost of each feature or customer, pricing is guesswork. Mavvrik ties consumption directly to economics, giving you defensible pricing and protected margins.

NO RISK PROOF OF VALUE

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