Assign every cost to an owner, forecast what comes next, and govern budget decisions with a complete audit trail. InstantViewAI runs cloud and AI spend as a financial model — and shows its work.
Built for European SaaS and AI companies managing €1M–€50M in annual cloud and AI spend.
Read-only cloud access · EU residency · GDPR-aligned
Product targets, contractual commitments, and an illustrative environment — not measured customer results.
Engineering ships fast. Finance closes books in spreadsheets. Cloud and AI bills land in between — full of resource IDs, no business context, no clear owner. By the time the variance is visible, the quarter is already over.
One change to how a model is used can 3× your monthly AI bill. Usage-based pricing wasn't built for annual budgets — that's the gap AI cost management has to close.
Native billing shows resource costs, not org costs. You can't tell a VP "your team is €80k over" — because you can't prove which resources are theirs.
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.
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 cloud cost management behaves like every other line in the P&L.
Cloud spending moves with usage patterns, not calendars. Auto-selected models project cost per resource, project and business unit — and every projection carries the method behind it. No black box: your data team can see exactly which model we used, and why.
When the org chart changes, versioned cost models keep every prior quarter tying out. The report stays elegant; the audit trail stays complete.
Five steps. No engineering project required.
GCP, AWS, Azure, OpenAI & Anthropic billing. Read-only by default.
Business units, teams, projects. Allocate by tag, resource or rule.
Hard or soft, monthly to annual, with owners and scopes.
Auto-selected models per resource, project and business unit.
Approvals, audit trail and board-ready PDFs, white-labelled.
We never need write access to your cloud accounts. Because InstantViewAI uses read-only cloud permissions, it cannot start, stop, or modify resources in your environment.
Miss the 14-day report or 60-day governance commitment and you exit with a pro-rated refund. In writing.
Append-only, access-controlled record of every change, encryption everywhere, EU residency.
The questions finance leaders ask us most when scoping cloud cost governance for the board.
Cloud cost management is the operational work of tracking cloud costs, cloud usage and cloud resources day to day. Cloud cost governance is the financial discipline on top — cloud budgets, governance policies, approvals and an audit trail — that makes cloud spending accountable to the board. InstantViewAI is built for cost governance, not just monitoring.
No — keep your existing optimization tools. FinOps optimizers and native tools like AWS Cost Explorer or Google Cloud cost management lower the bill through rightsizing and storage-cost cleanup. InstantViewAI sits alongside them as the cost management and financial governance layer: best practices for managing cloud costs that finance, not engineering, owns.
Cloud spending follows usage patterns, not the calendar. Auto-selected forecasting models project cloud costs per resource and per business unit, turning volatile cloud computing and AI usage into cloud budgets you can defend — the core of effective cloud cost governance and measurable cost efficiency.
Finance gets control and accountability over cloud investments without slowing engineering. Cost governance ties every euro of cloud spending to business objectives, so resource management and cost-saving decisions are measured against the outcomes they fund — cloud financial management the board can trust.
Bring cloud cost governance and AI spend governance into your finance stack — control and accountability over cloud spending in one system you can defend to the board.