EU-first · Read-only · 14 days to first report

Govern the cost of AI.
Measure the value of AI.
One cockpit.

Your cloud and AI bills are growing fast — and they're hard to predict, hard to pin on a team, and hard to defend at the board meeting. InstantViewAI shows your finance team exactly who's spending what, warns you before a budget breaks, and turns the bill into a report the board trusts. Once the cost is under control, it also measures what your AI is actually worth.

Book a demo Calculate your ROI
14 days to first attributed cost report
60 days to full governance
2 – 3 hours from your team in week 1
90-day exit clause if we miss

Read-only cloud access · EU residency · SOC 2 audit underway · Transparent pricing

app.instantview.ai/dashboard Live
Monthly cloud spend
€418,240
▼ 5.4% vs forecast
AI / LLM spend
€94,710
▲ 38.4% MoM
Budgets at risk
3 of 12
Action required
Unallocated cost
1.4%
▼ from 11.4%
Spend by business unit · last 6 months
Forecast: ARIMA + Prophet
Actual Budget Forecast
Pending approvals
  • Q3 Data Platform budgetReview
  • LLM training cap +$50kReview
  • Reallocate · Marketing → MLApproved
  • Annual FY26 baselineDraft
Connects to the stack you already run
GCP AWS Azure OpenAI Anthropic Vertex AI SAML SSO Keycloak BigQuery
And feeds the finance stack you close the books in
NetSuite Exact Online DATEV CSV / API export Multi-currency & FX

Already run a FinOps optimizer like Apptio, Vantage or CloudZero? Keep it. They optimize engineering-side cost; InstantViewAI sits alongside them and gives finance the attribution, budgets and audit trail they don't.

Built for

European finance teams managing €1M+ in cloud and AI spend.

In plain terms: it shows your finance team exactly who's spending the cloud and AI budget, warns you before a budget is blown, and turns the bill into a board-ready report — no engineering project required.

Industry benchmark
22%
average cloud forecast variance
FinOps Foundation State of FinOps 2025. InstantViewAI's design target: under 5%.
Industry benchmark
30%+
cloud spend with no clear business owner
CNCF / FinOps surveys. Our design target: 98% attribution within 60 days.
Industry benchmark
38% MoM
AI / LLM cost growth at scale-ups
Cited in SaaS CFO research, 2026. We turn that into governed, forecastable spend.
Is this you?
Probably a fit if…
  • →Your cloud + AI spend is €1M+ a year and growing fast
  • →"Who owns this cost?" takes too many emails to answer
  • →You report to a board and care about EU data residency
Probably not yet if…
  • →Your spend is under €500k a year
  • →You mainly want to make engineering cheaper — that's a different kind of tool
See the full fit check, by role →
The problem

Cloud and AI bills are exploding — and nobody owns them.

Engineering ships fast. Finance closes books in spreadsheets. Cloud and AI bills land somewhere in between — full of resource IDs, no business context, and no clear owner. By the time the variance is visible, the quarter is already over.

Unpredictable AI costs

One change to how a model is used can 3x your monthly AI bill. Usage-based AI pricing wasn't built for annual budgets — and there's no "cap" in finance terms.

No accountability

Native billing dashboards show resource costs, not org costs. You can't email a VP and say "your team is $80k over" — because you can't prove which resources are theirs.

No audit trail

When the board asks "who approved that $400k spike?" — the answer lives in a Slack thread. Or doesn't exist. Either way, it doesn't pass an audit.

Why teams can't fix this themselves

FinOps tools focus on engineering optimization — savings plans, rightsizing, idle resources. None of that helps a CFO decide whether ML platform should get another $2M next quarter. Spreadsheets break at scale; cloud-native billing speaks resource IDs, not P&L lines; and BI dashboards don't enforce budgets or run approvals. Governance falls through the cracks.

The solution

A cockpit that turns cloud bills into financial decisions.

InstantViewAI sits between your cloud providers and your finance team. It ingests every line item, maps it to your org, and runs budgets, forecasts, and approvals on top — so your cloud bill behaves like every other line in the P&L.

  1. 01

    Connect

    Plug in GCP, AWS, Azure, OpenAI and Anthropic billing in minutes. Read-only by default.

  2. 02

    Map to your org

    Define a hierarchy of business units, teams and projects. Allocate cost by tag, resource, virtual tag or %.

  3. 03

    Set budgets

    Hard or soft budgets, monthly through annual, with owners, scopes, and front- or back-loaded periods.

  4. 04

    Forecast

    AI-powered forecasts that pick the right statistical model automatically — per resource, per project, per business unit. No data-science team required.

  5. 05

    Govern & report

    Approval workflows, delegations, audit trail, and scheduled board-ready PDFs — fully white-labelled.

Built for finance, not engineering

From resource IDs to P&L lines, automatically.

Virtual Tags let you label cost rules in plain language without touching cloud-provider tags. Cost Models keep historical reports stable when your org chart changes — every prior quarter still ties out.

  • Multi-level org hierarchy — 5+ levels deep
  • Versioned cost models — historical reports never break
  • Allocate by percentage, tag, or rule — finance team controls it
  • Unallocated-cost surfacing — no spend hidden in "other"
  • Multi-currency & FX-normalised — consolidated into your reporting currency, then exported to your ERP / GL
app.instantview.ai / ownership
InstantViewAI Financial Ownership screen — an ownership matrix assigning every cost source an owner across four dimensions: financial, organisation, technical and use-case, with unallocated cost and rule coverage surfaced at the top.
Financial Ownership · live product ✓ Every source owned across 4 dimensions
Why InstantViewAI

What you can't get from a FinOps optimizer or a BI dashboard.

Honest read of the category boundaries. Each tool below is excellent at its own job — InstantViewAI is the one designed for the CFO's job specifically.

CapabilitySpreadsheetsNative cloud billing AWS Cost Explorer, GCP BillingFinOps optimizers Apptio, Vantage, CloudZeroBI dashboards Looker, TableauInstantViewAI
Primary audienceFinance, manualEngineering / cloud teamEngineering / FinOpsAnalytics teamFinance / CFO
P&L-shaped cost attributionHand-builtEngineering viewEngineering viewHand-modeledBuilt-in
AI / LLM cost breakdownNot modeledPer providerCloud-cost focusedNot modeledPer model, per BU
Forecasting per BU / projectLinear, manualPer-resource basicEngineering-focusedDIY modelsAuto-selected models
Budget approval workflowsEmail + SlackNot surfacedEngineering-sideNot surfacedPolicy-based, delegated
Immutable audit trailNot enforcedCloudTrail (cloud)Cost-focusedNot enforcedEvery change logged
Business-impact tracking (Layer 4)Hand-modeledNot modeledNot modeledHand-modeledFour-layer framework
EU data residency standardUp to youConfigurableVaries by vendorUp to youDefault
Time to first attributed reportWeeks of buildingResource view onlyEngineering rolloutBuild a pipeline14 days

This is a positioning map, not a feature scorecard. Apptio, Cloudability, Vantage and the rest are excellent at their job — engineering-side cost optimization. They're solving a different problem than a CFO needs solved. We're happy to walk through specific tools you've already evaluated.

Six things the category boundary makes clear.

AI-powered forecasting

Five forecasting models, auto-selected per resource. You see the confidence band — we handle the math. Forecasts run per resource, per project, per BU.

Approval workflows

Threshold-based policies, delegations, an approvals inbox, and policy health monitoring — every change is logged.

Immutable audit trail

Every budget change, allocation edit and approval recorded. Pass an audit without screenshotting Slack.

Drag-and-drop reports

15+ widget types, grid layout, scheduled PDF delivery via email. Board-ready reports in five minutes.

Multi-cloud + LLM aware

GCP, AWS, Azure, OpenAI, Anthropic, Vertex — unified into a single financial model. Tokens become dollars become budgets.

Ask in natural language

Built-in AI assistant — ask "why did ML platform jump 38% last week?" and get an answer that ties back to specific resources.

The second half · once your cost is under control

Cost is one half of the AI story. Impact is the other.

Most teams should start with getting cost under control — that's everything above. But the board's next question is always "what is the AI actually worth?" When you're ready for it, InstantViewAI can also tie every euro of AI spend to a real outcome and a real P&L effect. No need to tackle this on day one.

Explore the framework Get an impact dashboard

Based on Ben Murray's Four Layers of AI Measurement, implemented inside InstantViewAI.

LAYER 1 Where most companies are stuck
Consumption
Tokens · API calls · compute hours · inference costs
LAYER 2 Easiest to instrument · start here
Work
Records updated · reports drafted · workflows triggered
LAYER 3 Outcome-based pricing lives here
Outcomes
Tickets resolved · meetings booked · deals closed · PRs merged
LAYER 4 Hardest · most meaningful
Business impact
Hours saved · cost avoided · revenue influenced · CSAT lift
Built to be trusted

Six reasons the risk of picking us early is lower than you'd expect.

A finance system touches every billing line in your business. We designed InstantViewAI so the structural risk of adopting it is small — and so the launch-period agreement is genuinely fair to the customer.

Read-only by architecture

We never need write access to your cloud accounts. A worst-case incident on our side cannot change anything in your environment. Period.

How we're built →

90-day exit clause

If we don't deliver your first attributed report by day 14 and full governance by day 60, you exit with a pro-rated refund. In writing.

See the cohort terms →

Built on a published framework

Our AI measurement follows a published CFO framework, and our forecasts use proven, well-documented methods — not a proprietary black box you have to take on faith. (Your data team can see exactly which models we use.)

See the framework →

Audit-ready by default

A complete, tamper-proof record of every change, encryption everywhere, EU data residency, and each customer's data fully isolated behind single sign-on. SOC 2 Type II audit in progress with a Big-4 firm. Technical details →

Security & trust →

Launch-period price lock

Your price is held through the end of your first renewal regardless of list-price changes. Spend caps and notification thresholds are contractual.

View pricing →

Direct line to the founder

A Slack channel with the founder who built it — and the advisors who run your onboarding — for support, roadmap, and incidents. Real responses, not tickets. Quarterly reviews led by us, not a CSM.

Meet the team →
An honest note

No customer logos yet.

You won't find a "trusted by" logo strip on this site. We're pre-launch, working closely with a handful of European design partners — finance teams at SaaS and AI-native companies in the €1M – €20M spend band — who aren't yet ready to be named publicly. We'd rather earn your trust the way we'd want a vendor to earn ours:

  • →Open methodology — every measurement framework cited, every assumption visible.
  • →The ROI calculator exposes its math — no black box.
  • →Third-party verification: annual pen test, SOC 2 Type II in progress with a Big-4 firm.
  • →90-day exit clause if we miss our 14-day / 60-day delivery commitments.

When design partners are ready to be quoted, you'll see them here. Until then we'd rather be honest than invent a story.

Need something to forward to your CEO? Get the one-page exec brief →

Verified, not asserted

Independent verification, before we ask for trust.

  • Third-party penetration test annually; latest Q1 2026 — summary available under NDA.
  • SOC 2 Type II audit underway with a Big-4 firm; report Q3 2026.
  • CSA STAR Level 1 CAIQ submitted; available on request.
  • Open methodology — calculator math, framework citations, and forecasting models are all documented publicly.
View Security & Trust
For procurement

The procurement pack.

  • · SOC 2 audit-progress letter
  • · DPA & subprocessor list
  • · Security questionnaire responses
  • · Pen-test executive summary
  • · CAIQ self-assessment
Request the pack

Stop guessing what your cloud bill will be.

Bring InstantViewAI into your finance stack. White-glove setup, direct access to the team that built it, and the same governance you'd expect from every other line in the P&L.

See it on your data Get a quote
Go deeper

Not ready to talk yet?

No pressure. Pick something below — most of these are exactly what we'd send anyway.

Run the ROI calculator

Enter your spend, variance and team hours. Get a conservative annual benefit estimate in 30 seconds.

Open the calculator →

The four-layer AI framework

How to move from token-only reporting to consumption → work → outcomes → business impact. Worked example included.

Read the framework →

Get the exec one-pager

A printable one-page brief you can forward to your CEO or board. We email it personally within one business day.

Email me the brief →