Show what your AI spend produced.
SAVI puts estimated value next to AI spend, so finance and engineering can answer the board's question from the same numbers.
The board asks what AI produced
Most reports show what AI cost. The board also wants to know what it bought. Without a shared way to estimate that, each budget review turns into a debate about opinions.
Invoices show what you paid
Token counts and invoices show how much you used. They do not show whether it saved time, sped up delivery or helped a customer.
Finance and engineering use different measures
Engineering tracks tokens and latency. Finance tracks cost and return. A shared estimate gives both teams one set of numbers.
Unattributed spend adds up
If a workload has no stated purpose, it is hard to say whether it earns its cost. Listing those workloads is the first step to deciding.
Set your benchmarks once. SAVI does the maths.
SAVI estimates the value of AI output from benchmarks you set for each team: what an hour of work costs, and how much output counts as an hour of productive work. The result puts spend and estimated value in the same row. Figures are indicative, based on your own rates, and update as usage arrives.
- Hourly rates and output expectations set per team
- Spend and estimated value updated as usage arrives
- Labelled as indicative, so no one mistakes an estimate for an audited figure
Swipe to see all columns →
Example data. Spend against estimated value, using benchmarks you set.
Example data. Adoption score for one organisation.
See where AI use is real, and where it isn't
Paying for AI tools and using them are different things. SAVI's adoption score combines active SDK users, workspace users and use of shared prompts into one number. A low score is a budget question worth asking before the next renewal.
- Active users as a share of the users SAVI knows about
- SDK activity, workspace use and prompt library use in one score
- Adoption by team, to show where to focus
Example data. 3 workloads without a benchmark · $5,860/mo under review
Spot spend that has no value story
Not every workload needs a formal benchmark. But when real spend flows to a workload no one has described, your next budget review will ask about it. SAVI lists every workload above your threshold that has no benchmark, so you can set one or decide what to do with it.
- Any workload above your threshold with no benchmark is listed
- Set a benchmark to turn unattributed spend into estimated value
- The decision stays with you
The numbers finance needs, in one view
SAVI's ROI view brings spend, estimated value, adoption and unattributed workloads together, in a form finance and executives can read. Figures are calculated from usage data when you open the view, and every benchmark is yours to adjust. Pull the same data through the API for your own reports.
- Spend and estimated value in one view
- Adoption and unattributed spend alongside cost
- Read the data through the API for your finance tools
From first call to a view finance can use
What spend-to-value visibility changes for AI teams
Can you answer the board's ROI question today?
5 questions. Answer honestly.
Can you show stakeholders spend against estimated value for your AI portfolio without opening a spreadsheet?
Do you know which workloads deliver value and which consume budget with nothing to show for it?
If your board asked what AI produced last quarter, could you answer from one view?
Do you know which teams use AI well and which are paying for capability they do not use?
Can you tell whether a workload's return is growing or shrinking as spend scales?
This checks one slice of your AI estate. Take the full AI Cost Ownership Assessment →
Your AI gap score
Answer to begin
Complete all questions to see your result
Turn AI spend into a business case.
SAVI puts estimated value next to AI spend and lists the workloads that have no value story yet. Book a demo to see it on your data.