ROI calculator

A real number — not a marketing number.

Enter your actual spend, your current forecast variance, and how much time your team loses to reconciliation. We'll show you a conservative estimate of the annual benefit InstantViewAI can deliver.

Your numbers

All inputs stay in your browser. Nothing is sent anywhere.

Combined cloud (GCP/AWS/Azure) + AI provider spend.
How far off your cloud forecast is each quarter. Our default assumption: 22%.
Time your team spends each month attributing cost to org units.
Senior finance / FinOps loaded rate. Typical range €100–€180/hr.
For AI-impact estimate. Growing fast — most teams underestimate this.
How we calculate. Waste & over-provisioning surfaced: tighter forecasts (from your current variance down to a conservative 5% floor — deliberately short of our ±4.1% product target) expose over-provisioned and idle spend earlier and right-size commitments — we credit only 25% of that gap as cash actually avoided, not the whole swing. Hours saved: 80% of recon time recovered at your hourly rate. AI value (shown separately, not in payback): an indicative Layer-3 outcome uplift of 8 pts on AI spend — value identified, not euros off the bill.
Estimated annual benefit
€ —
Adjust the inputs to see your estimate.
Payback range
Against the €18k – €150k / year platform-fee range
Waste cut / yr
AI value / yr
Hours returned / yr
Breakdown
Waste & over-provisioning surfaced

Tighter forecasts (variance 22% → 5%) catch over-provisioned, idle and mis-committed spend earlier. We bank only 25% of the gap as cash avoided.

€0
per year
Reconciliation hours recovered

80% of recon time eliminated through automated allocation + Virtual Tags.

€0
per year
AI value identified value, not cash saved

Indicative +8 pt outcome uplift on AI workloads (Layer 3–4). Shown for context — excluded from the payback range because it's value created, not euros off the bill.

€0
per year
Methodology & assumptions+

Conservative by design. Most calculators inflate. This one understates.

  • Waste & over-provisioning (cash): (current_variance − 5%) × annual_spend × 25% capture rate. A tighter forecast doesn't save money on its own — the saving is the over-provisioned, idle and mis-committed spend it lets you catch and cut earlier. The 25% is the share of that gap we credit as cash actually avoided; the remaining 75% is planning accuracy, which we deliberately don't count. And the 5% floor is itself conservative — short of the ±4.1% variance the platform targets — so the estimate understates what a fully-governed forecast reaches.
  • Hours benefit (cash): monthly_hours × 80% × 12 × hourly_rate. The 80% is what we model as reclaimable through automated allocation, reporting and Virtual Tags.
  • AI value identified (not cash): ai_share × annual_spend × 8% (indicative Layer 3 outcome uplift from outcome verification — see the AI Impact framework). This is value created, so it is shown for context but excluded from the payback calculation.
  • Payback range: measured against the hard cash benefit only (waste + hours), so you're never paying a subscription out of soft value. Derived from the published platform-fee range (€18k – €150k / year): best case = €18k ÷ cash_benefit × 12, worst case = €150k ÷ cash_benefit × 12. Your actual quoted fee falls inside this range, so your actual payback will too.

No customer data is sent to a server — calculation runs entirely in your browser. Use the email form below if you want a one-page PDF summary.

Save this estimate

Email me a one-page PDF.

Same numbers, formatted for a board pack. Sent within the hour.

Want a real quote against these numbers?

A real quote uses your actual cloud, AI, and team data — not slider estimates. One business day turnaround.

Why we're conservative

A CFO will check this math. So we did first.

Independent research bears this out: Flexera's 2026 State of the Cloud puts wasted cloud spend at 29%, and Gartner finds 69% of organizations overrun their cloud budgets. The FinOps Foundation's 2026 survey is sharper still — when finance and engineering jointly own cloud cost, 31% of teams hold forecast variance under 5%, nearly double the 16% when engineering owns it alone. That's the discipline this tool prices. The reconciliation-hours figure is our own operating assumption for a mid-market team, not a cited survey; our model starts from a 22% variance, credits improvement only to a 5% floor, and applies a further 25% haircut on top — because every CFO has been burned by a vendor calculator at some point. The point of this tool is to give you a number you can defend in front of your board, not a number that flatters us.