Whether you're closing the books, defending the cloud budget at the board meeting, or running the ML platform that's eating it — InstantViewAI was designed with your specific workflow in mind.
Five forecasting engines bring forecast variance from typical 20%+ down to under 5%.
Approval policies, delegations, and an immutable trail of every decision.
Drag-and-drop dashboards. Scheduled PDF delivery. White-labelled branding.
Costs map to BUs and projects — not to anonymous resource IDs that don't roll up.
Allocation rules run automatically — 60+ hours per month back in your team's calendar.
Label and group costs with your own plain-language rules. No more begging engineering to tag resources first.
Always know exactly which dollars haven't been attributed yet — and to whom.
All cost-related approvals in one place — escalations, delegations, full audit log.
CPU, memory, storage utilization per resource. See what's costing you — and what's idle.
What was added, modified or removed last week — correlated with cost movement.
Cloud Build and deploy data tied to product / cost — so a release is a financial event too.
"Why did Vertex AI cost double on May 4?" — get a tied-back answer in seconds.
Cloud was 30%+ over forecast. The board wants to know how it happened — and how to make sure it doesn't again.
Your AI usage costs are growing 30–50% month over month, and there's no per-team budget or limit to stop it.
Auditors want evidence of cost approvals, allocations, and policy. Slack threads don't count.
Time to set FY budgets per BU — and stop letting the cloud number be a roll-up of guesses.
A BU split, a department merge, an acquisition. Historical cost attribution shouldn't break.
Finance wants to show each team its real cloud and AI cost — or actually bill it back. You need a single, defensible source of truth, fast.
You can report usage numbers but not outcomes. The board wants hours saved, cost avoided, retention uplift — not raw token counts. See the framework →
If any of the situations above sound familiar, let's talk. We're onboarding a small cohort each quarter — the next one starts soon.