AI SpendOps - Finance grade reporting of your AI LLM API calls sliced by your own dimensions
AI SpendOps Ltd · Finance & Accounting
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Overview:
AI spending is growing fast, and most organisations can't answer a basic question: what are we actually spending on AI, and is it worth it?
Show the rest of the publisher’s description (9 more lines)
AI SpendOps is a high-performance proxy that sits in front of your AI API calls. Route your traffic through us and within minutes you get a complete picture of where your AI budget is going, attributed by team, product, feature, environment, and cost centre.
How it works
AI SpendOps deploys as a low-latency high throughput gateway that requires no SDK changes or code refactoring. Set up takes minutes, not sprints. Once live, every AI API call is automatically tracked, costed, and attributed using the dimensions your finance team already works with.
What you get
Real-time cost attribution across every AI provider and model. Budget enforcement and burn-rate alerts before spend spirals. Finance-grade reporting that both engineers and CFOs can trust. Model governance enforced at call-time through policy. Forecasting built on real usage data, not estimates. Exportable chargeback reports mapped to your own cost centres.
Built for the whole organisation
Engineering teams get frictionless tracking without workflow disruption. CTOs and CIOs get a single pane of glass across providers, with shadow AI prevention and a full audit trail. CFOs and Finance Directors get independent, finance-ready reporting without chasing engineering. FinOps teams get multi-provider visibility that fits into existing cloud cost workflows.
Why AI SpendOps
Most cloud cost tools weren't designed for the consumption-based, multi-provider reality of AI APIs. AI SpendOps was built specifically for this problem, bringing FinOps discipline to AI spend so you can scale AI adoption with financial confidence.
Preview
1 image
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.