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Spend control

Reference module

Control AI spend before it escapes budget.

Spendra gives finance, platform, and AI operations teams a governed gateway for paid AI usage with scoped keys, budget policies, ledger records, and audit trails.

Add a screenshot showing budget health, provider usage, scoped spend, blocked requests, and ledger drilldown.

Problem

AI spend is becoming operational infrastructure.

As AI usage moves from a few subscriptions into agents, internal tools, provider APIs, and AI-assisted workflows, organizations need to know who or what caused spend, which budget applied, what remains, and when usage should be blocked or reviewed.

Where it fits

Where it fits

Use Spendra when teams need provider access, employee and agent keys, hard caps before provider calls, finance-ready ledgers, provider usage views, audit trails, and customer-managed private deployment.

How it works

AI spend becomes governable when every request has an owner, a policy, and a trace.

01

Scope

Map usage to organizations, branches, teams, projects, employees, agents, and subagents.

02

Govern

Apply hard caps, soft caps, alerts, review rules, and provider or model permissions.

03

Route

Send governed AI calls through an OpenAI-compatible gateway when pre-call spend control is required.

04

Account

Book settled usage into ledgers, dashboards, audit records, and finance exports.

What this can support

Example artifact

Abstract spend-governance artwork with soft ledger paths and calibrated rings

Issue scoped API keys for employees, agents, teams, projects, and workflow surfaces.

Enforce hard caps before provider calls and notify on soft caps or anomalies.

Track spend by provider, model, employee, project, agent, and subagent.

Expose ledger records, audit logs, budget health, provider usage, and CSV exports.

Who it is for

Finance leadersPlatform teamsAI operations ownersEngineering managers

Want to use this in a workflow?

We can decide whether this building block fits your workflow, deployment boundary, and review requirements.

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