Never negotiate an AI contract on an estimate again.
Verified usage history across every AI vendor, the renewal calendar, the duplicate tools, and the commitment your volume actually supports.
How does AI cost data help procurement?
It replaces estimates with evidence at the negotiating table. Camaze provides verified usage history per vendor, the growth trajectory, the split between committed and on-demand spend, duplicate and overlapping tools, seat utilization against seats purchased, and the commitment level your trailing volume actually supports with a break-even. It also maintains the renewal calendar, so contracts are opened before auto-renewal rather than after.
AI vendors know your usage better than you do.
In every AI renewal, one side has complete usage data and the other has an estimate assembled from invoices.
More detail
The commitment sizing, the tier discussion and the growth assumption are all being negotiated from that asymmetry.
It is worse than in most software categories, because AI spend is fragmented across direct contracts, cloud marketplaces, per-seat tools and card purchases, and it grows fast enough that last quarter's figure is already wrong.
- No verified usage history to bring to a renewal
- Commitments sized on a guess, then over-committed or exhausted early
- Tools bought on cards that never reach procurement until renewal
- Overlapping tools across teams, discovered only when someone adds them up
- Seats purchased in blocks with no view of how many are actually used
Illustrative product view. Figures are examples.
Arrive with the same data the vendor has.
Every number that matters in an AI negotiation, verified from your own billing and usage records rather than reconstructed from invoices.
- Verified usage history per vendor, with the growth trajectory
- Committed versus on-demand spend, and how much committed capacity goes unused
- Seat utilization against seats purchased, per tool and per team
- Duplicate and overlapping tools across the organization
- Commitment sizing with a break-even, at several volume assumptions
- A renewal calendar with notice periods, so nothing auto-renews unexamined
Commit to the right number.
Committed-use pricing is the largest single lever in most AI contracts and the easiest to get wrong in both directions.
More detail
Over-commit and you pay for volume you never use. Under-commit and you pay list price on the overage for the rest of the term.
Camaze sizes the commitment from trailing usage and the forecast, at several growth assumptions, with a break-even against on-demand pricing. When a commitment is running ahead or behind, that is flagged during the term rather than discovered at renewal.
- Commitment sizing at several growth scenarios, each with a break-even
- Mid-term tracking against the commitment, with a projected landing point
- Alerts when a commitment will be exhausted early or left unused
- Discount tiers flagged as trailing volume reaches them
-
A cheaper model now covers your largest workload
Ticket triage runs 41M tokens a month on a frontier model. A newly released mid-tier model matches it on your own eval set.
$21,300a month -
Input pricing dropped on a model you already run
No change needed. The saving lands automatically. The forecast has been updated and plan variance is now favorable.
$4,900a month -
Prompt caching is now available on the document workflow
78% of that workflow's input tokens are an unchanged system prompt. Caching them is a configuration change, not a rewrite.
$8,700a month -
Volume now qualifies for committed-use pricing
Twelve months of usage supports a commitment at the next tier. Draft terms and a break-even are attached.
$14,200a month
Illustrative product view. Figures are examples.
Find the tools you are paying for twice.
AI tools enter through many doors. A team trials one, a department standardizes on another, a third arrives inside a SaaS renewal as an add-on.
More detail
Nobody is wrong, and the result is three contracts covering substantially the same capability.
Camaze surfaces overlapping tools, seat counts against actual usage, and the teams using each, which is what a consolidation decision needs. It also detects a new AI vendor on first charge, so the next one reaches procurement before it becomes a renewal.
- Overlapping tools identified with usage on each
- Seat utilization by team, and inactive seats quantified
- First-charge detection for any new AI vendor
- Consolidation scenarios with the saving attached
| Optimization | Workflow | Status | Savings |
|---|---|---|---|
| Open-weight model covers the classification step | Support triage | Done | $15,600 |
| Cache the system prompt, 78% of input tokens | Document workflow | In progress | $8,700 |
| Put a ceiling on the agent retry loop | Internal agents | In progress | $7,400 |
| Move batch-eligible work off synchronous | Data enrichment | Planned | $5,100 |
| Committed-use tier now earned | All providers | Planned | $14,200 |
| Right-size a GPU endpoint at 11% utilization | Self-hosted models | Under review | $6,900 |
| Reclaim unopened seats on two AI tools | Engineering | Under review | $3,900 |
| Total | $61,800 a month |
Illustrative product view. Figures are examples.
Open the contract before it opens itself.
AI contracts auto-renew like any other, and your position in a renewal is almost entirely a function of how early it is opened.
More detail
Camaze maintains the renewal calendar with notice periods, and issues reminders early enough to run a real process.
Each renewal arrives with a prepared position: usage history, growth, current effective rate against current market pricing, and whether the alternatives have moved.
- Renewal dates and notice periods tracked per vendor
- Reminders timed to allow a genuine process, not a rubber stamp
- Effective rate compared against current market pricing
- Usage and growth history packaged for the negotiation
| Report | Runs | Lands in |
|---|---|---|
| Monthly close pack | 1st of the month | Excel, emailed to finance |
| Chargeback journal | 1st of the month | ERP export, journal-ready |
| Board AI summary | Quarterly | PDF and slides |
| Cost by team | Every Monday | Google Sheets, live |
| Raw cost and usage | Nightly | Snowflake |
| Budget variance digest | Every Friday | Slack, #finance |
Illustrative product view. Figures are examples.
Prepare for the next renewal.
Bring the contract you are about to renew and we will show you the usage history and commitment sizing behind it.
What changes in a negotiation
Three concrete shifts once verified usage is on the table.
The growth assumption stops being theirs
Vendors size commitments on their own projection of your growth. With twelve months of verified usage and a driver-based forecast, that projection becomes a discussion rather than an input.
Overage stops being a surprise
Knowing where a commitment lands under several scenarios changes which term you sign and what overage protection you ask for. It also stops the mid-term conversation where a commitment is exhausted in month eight.
Consolidation becomes possible
You cannot consolidate what you cannot see. Once overlapping tools and their real usage are visible, the renewal calendar becomes a sequence of consolidation opportunities rather than a set of independent renewals.
Keep reading
Vendor consolidation
Reducing the number of AI vendors without losing the capability you actually use.
Read moreCost optimization
The standing list of what can be cut, including discounts and tiers you already qualify for.
Read moreIntegrations
Every provider, tool and self-hosted platform tracked, plus first-charge detection for new ones.
Read moreQuestions people ask
Can it find AI tools we do not know about?
Within its sources, yes. New API keys, new provider accounts and new charges appearing in connected billing data are flagged on first charge. Tools bought on personal cards outside connected accounts are outside what any billing-based system can see, though they usually surface once expense data is included.
Does this replace our contract management system?
No. It supplies the usage and cost evidence that a contract system does not hold. Renewal dates and notice periods are tracked so reminders are timely, but the contract repository stays where it is.
Can we see effective rate rather than list price?
Yes, and it is usually the more useful figure. Camaze reports what you actually paid per unit after discounts, commitments and credits, which is the number that matters when comparing vendors or assessing a renewal offer.
How does this help with cloud marketplace purchases?
Model access bought through a cloud marketplace is counted once and reported at its effective rate, including any marketplace commitment it draws down. That makes it directly comparable to a direct contract with the same provider, which is often a surprising comparison.