Make your AI budget defend itself.
SAVI connects every dollar of AI spend to productivity value - giving finance and engineering a concrete answer when the board asks what AI actually produced.
The board question your AI team can't answer
Every stakeholder and board member eventually asks the same question: what did our AI investment actually produce? Most teams can produce a cost report. Almost none can show what that cost bought. Without a structured answer, every AI budget conversation is a faith exercise - and faith doesn't survive a downturn.
Provider invoices show what you paid - not what you got
Token counts and API invoices tell you how much you consumed. They tell you nothing about whether that consumption reduced manual work, accelerated delivery, or resolved a customer issue.
Finance and engineering are measuring different things
Engineering teams track tokens and latency. Finance teams track cost and return. Without a translation layer, the two conversations never converge - and AI budgets get approved or cut on gut feel, not evidence.
Unattributed spend compounds quietly
If you can't articulate what a workload produces, you can't tell whether it's generating value or scaling on faith alone. Most AI portfolios contain workloads consuming meaningful budget with no outcome story attached.
Configure your benchmarks. SAVI does the maths.
SAVI translates AI output into productivity value using benchmarks you configure for your organisation - what an hour of work costs per team, and how much output represents an hour of productive work. The result is a spend-to-value view that puts cost and return in the same row for the first time. No data engineering project. No external systems to integrate. Configure once in the Governance Console, and SAVI updates automatically as usage flows in.
- Department-level benchmarks - configure hourly rates and output expectations per team independently
- Spend-to-value view updated continuously as usage data flows in - no manual reporting cycle
- Estimated return displayed alongside actual cost - the number your stakeholders are looking for
| initiative | spend | metric | movement |
|---|---|---|---|
| Engineering - Code Review | $4,100/mo | Productivity value | $12,710/mo3.1× return |
| Customer Support | $2,840/mo | Productivity value | $9,656/mo3.4× return |
| Data Science | $3,680/mo | Productivity value | $8,832/mo2.4× return |
| Finance Operations | $1,890/mo | Productivity value | $7,182/mo3.8× return |
| HR & People | $1,240/mo | Productivity value | $2,604/mo2.1× return |
Swipe to see all columns →
Spend vs. Productivity Value · June 2026 · $13.75K spend · $41.0K value · Benchmarks configured
Adoption Score · June 2026 · Organisation-wide · 74 / 100
Know where AI adoption is real - and where it isn't
Paying for AI tools and actually using them are different things. SAVI's adoption score measures real usage across your organisation - which teams are generating output, which employees are active in integrated workspaces, and whether shared resources like prompt libraries are being used. A low adoption score is a budget risk: capability your organisation is paying for isn't being deployed. SAVI makes it visible before the next renewal conversation.
- Adoption score by team - active users as a share of your total headcount, updated continuously
- SDK activity, workspace integration usage, and shared resource adoption tracked in one composite score
- Teams below adoption threshold flagged automatically - giving you the data to act before the next budget cycle
Unattributed Spend · 4 workloads flagged · $7,060/mo under review
Flag the spend that can't answer for itself
Not every AI workload needs a formal productivity benchmark - but when meaningful spend is flowing to a workload with no value story attached, that's a risk your next budget review will surface. SAVI flags every workload above your defined threshold that hasn't been benchmarked, and highlights workloads where spend is growing while productivity value has stalled. The decision is yours - but it's no longer invisible.
- Unattributed spend alert - any workload consuming above your configured threshold with no benchmark is flagged automatically
- Spend growth vs. value growth - SAVI surfaces workloads where cost is scaling faster than estimated output
- Review workflow built in - adjust the benchmark, document the decision, or flag for wind-down directly in the console
The data every stakeholder needs - already in SAVI
SAVI's ROI dashboard brings spend, productivity value, adoption, and unattributed workloads into a single view - structured for the finance and executive conversation, not just the engineering one. Every figure is calculated from live usage data. Every benchmark is yours to set and adjust. When the board meeting arrives, you're not building a spreadsheet the night before - you're exporting a view that has been running all quarter.
- Spend and productivity value in the same view - no manual joins, no analyst hours to produce it
- Adoption and unattributed spend visible alongside cost - the complete picture for a stakeholder-ready review
- Export via API in structured format - ready for FinOps platforms, finance reporting tools, or internal board packs
ROI Dashboard · From first SDK event to stakeholder-ready view
What spend-to-value visibility changes for AI teams
ROI Attribution
Can you answer the board's ROI question today?
6 questions. Answer honestly.
Can you show your stakeholders a spend-to-value view for your AI portfolio - without opening a spreadsheet?
Do you know which AI workloads are delivering measurable value - and which are consuming budget with nothing to show for it?
If your board asked 'what did our AI investment produce last quarter', could you answer in one view?
Do you know which teams have strong AI adoption and which are paying for capability they're not using?
Can you tell whether a workload's return is growing or shrinking as spend scales?
Does SAVI automatically flag when AI spend is growing but business outcomes are not keeping pace?
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 your AI spend into a business case.
SAVI translates every dollar of AI spend into productivity value and surfaces workloads that can't justify their cost - ready for the stakeholder conversation from day one.