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Shaping the future of AI spend

AI spend management

Give AI room
to grow.
Keep spend
in sight.

Your teams move fast with AI. Bring budgets, owners and spending controls into one clear view, across the tools they use.

Get early access See how it works

Built for finance. Designed with platform teams.

CLARITY, FROM BUDGET TO CONTROL
YOUR AI ESTATESeptember
One view. Every owner.

Spend overview

Illustrative data
Spent this month€74,240.00
Authorised monthly€120,000
01 SEPDaily spend · EUR24 SEP
Resource / ownerMonthly capControl
Production APIPlatform team€50,000Provider-capped
Team workspaceProduct team€20,000Provider-capped
Research sandboxOwner neededNot setUnbounded
One resource needs an owner and a control review.
Product concept · Sample data · Provider caps may overshoot
Every budget has a story. Know who owns it.

One AI estate.
Many places to spend.

Initial provider scope under evaluation
OpenAI API ChatGPT Enterprise Claude Enterprise Anthropic API
See documented capabilities & limitations

The gap between a budget and a bill

AI spend is spreading.
Ownership shouldn’t.

API projects. Enterprise workspaces. A new agent every week. Each brings its own settings, bills and decisions. Someone has to connect the dots.

Know who owns the spend.

Connect each project and workspace to a team, an approved budget and a person responsible for it.

See what a budget can stop.

Separate a planning number from a provider-enforced cap. Make uncovered spending visible before the next review.

Keep control as teams grow.

Give new resources, limit changes and departing owners a place in the process, beyond the initial setup.

The SpendAssure approach

From scattered settings
to shared clarity.

We’re building a way to bring finance and platform teams around the same spending decisions.

Explore the workflow
Your applicationsAI providers
SpendAssure works alongside, outside the request path.
  1. 01

    Map your AI estate

    Bring projects and workspaces into view. Identify their owners, spending and available controls.

  2. 02

    Put authority behind each budget

    Agree who can spend what. Propose supported provider controls within locally approved policy.

  3. 03

    Keep the next decision clear

    Review changes, flag gaps and give finance a report that distinguishes spend, forecast and control coverage.

Your keys. Your authority.

Give finance visibility.
Keep your boundaries.

The connector architecture keeps provider credentials in your environment. Local policy decides which proposed actions are allowed.

  • No prompts or completions collected
  • No added hop in your AI requests
  • Self-hosted deployment planned first
Read the security approach

A clearer starting point

A budget is a plan.
What backs yours?

Understand the difference between cost visibility, spend caps and rate limits before choosing your next tool.

The practical guide 01

AI spend management:
from budget to control

A framework for ownership, approvals and the controls behind your AI spend.

Read the guide Provider reference 02

What can you
actually control?

A dated, sourced view of provider capabilities and their limits.

Explore the matrix

Good questions

Clarity starts
right here.

Let’s talk about your setup
What is AI spend management?

AI spend management is the ongoing work of tracking AI costs, assigning budget owners, approving spending and reviewing controls across APIs, AI subscriptions and workspaces. It connects the financial plan to what teams can actually spend.

How is SpendAssure different from a cost dashboard?

A cost dashboard helps explain usage and bills. SpendAssure is being designed to connect that view to owners, approvals and provider-native spending controls, so teams can see which budgets have an enforceable control behind them.

Does SpendAssure process our prompts?

No. The architecture keeps SpendAssure outside the inference path. Your applications call their AI providers directly. The connector is designed to work with administrative usage and control data, without receiving prompts or completions.

Can it guarantee our maximum AI bill?

No. Provider caps can have enforcement delays and unspecified overshoot. SpendAssure’s approach is to show the control, its scope and its evidence, with gaps made explicit. A guaranteed amount requires a contractual bound covering all relevant charges.

Can we use SpendAssure today?

SpendAssure is in development. We are talking with founding customers to agree the first supported workflows and deployment scope. The product views on this website are illustrative; production provider integrations are not yet available.

Let’s start with your AI estate

Put a plan behind
every AI budget.

Help shape SpendAssure around the spending controls, approvals and reporting your team actually needs.

Talk about early access For finance, FinOps and platform teams.