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A.I. Commerce Studio

Operations and reliability

FinOps and AI costs

Allocation of cloud and AI spend, budgets, alerts and reviews of models and tokens.

Fictional scenario. An example situation that illustrates the approach. It is not a client project and describes no measured results.

Business problem

A fictional company sees growing cloud and AI API bills but does not know which team and feature cause them.

Assumptions

  • Billing data is accessible.
  • Resources can be tagged.
  • AI requests go through a shared layer.

Constraints

  • No savings forecasts.
  • Budgets have owners.
  • Production is never blocked without a decision.

Reference architecture

Components by stage — an illustration, not a running system and not a certified design.

  1. 01Data

    • Billing export
    • Token usage
  2. 02Allocation

    • Tags
    • Shared-cost rules
  3. 03Control

    • Budgets
    • Alerts
    • Quotas
  4. 04Optimisation

    • Model choice
    • Caching
    • Commitments
The diagram as a list
StageComponents
DataBilling export, Token usage
AllocationTags, Shared-cost rules
ControlBudgets, Alerts, Quotas
OptimisationModel choice, Caching, Commitments

Interfaces

FromToVia
CloudCost storeExport
AI gatewayCountersRequest metadata
BudgetsOwnersAlerts

Data flow

  1. Costs are collected daily.
  2. They are allocated by tags and rules.
  3. AI usage is counted per feature.
  4. Budgets are compared with thresholds.
  5. Reviews propose actions.

Security boundaries

  • Read-only billing data.
  • No request content in counters.
  • Review roles per department.

Where a person approves

  • Buying commitments.
  • Changing the production model.

Delivery phases

  1. 01 · Visibility

    Tags and allocation.

  2. 02 · Control

    Budgets and alerts.

  3. 03 · Optimisation

    Models, caching, commitments.

  4. 04 · Culture

    Regular reviews with the teams.

Limitations

  • Provider prices change.
  • Shared costs are approximate.

Trade-offs

  • A cheaper model — lower cost, possibly lower quality.
  • Commitments — discount vs flexibility.

Facing something similar?

We start with an assessment of where you are and propose a realistic first phase.