Five jobs, done end to end: see where the money went, give every cost an owner, forecast what's coming, approve and govern changes, and report to the board. Sixteen connected modules under the hood — but you only ever see one joined-up system.
A high-level executive cockpit plus an interactive Cost Analyzer that lets you slice spend by project, BU, resource type, tag, or any virtual dimension. Drill from a stacked area chart to the exact resource powering the spike.
We don't pick a single method and force you to live with it. Cost Forecasting runs five proven forecasting methods in parallel, scores them on your own history, and uses whichever fits best — per resource, per project, and across the whole org. No data-science team required. (For your data team: the five methods.)
Build a multi-level organizational hierarchy (5+ levels deep) and allocate cloud costs by direct resource, tag, virtual tag, project, or percentage split. Unallocated cost is always surfaced — never hidden — so you reach 98%+ attribution within weeks.
Define hard or soft budgets in any currency, scope them precisely with include/exclude clauses, assign finance and ops owners, and choose how the total is distributed across periods. Budgets live through a real lifecycle — draft → pending → active → paused → archived — and every transition is audited.
Define approval policies, route requests through delegated approvers, monitor policy health, and log every state transition. When the board asks who approved a $400k spike — the answer is one click away, with timestamps, identities and prior states attached.
Rule-based — "requires approval if amount > $50k". Health monitored per policy.
Time-bounded delegation of approval authority to colleagues. Auto-expires.
A single inbox per approver. Lifecycle: pending → approved / rejected / cancelled.
Every material state transition is recorded — budgets, approvals, users, allocation.
The Report Builder gives you a drag-and-drop dashboard editor with 15+ building blocks — KPI cards, charts, tables, forecasts, utilization, insight panels, even section dividers. Export to PDF, set a schedule, and it lands in the board's inbox automatically.
The built-in AI Assistant has live access to your cloud inventory — servers, storage, networking, databases and more. Ask "why did ML platform jump 38% last week?" in plain English and get a real answer tied back to the specific resources that caused it, not just a chart.
A real data pipeline behind every dashboard — BigQuery ingestion, dbt transformations, BigQuery-to-PostgreSQL transfer for operational queries, GCP KMS envelope encryption for secrets, and Keycloak for identity with white-label login via Keycloakify.
Book a 25-minute walkthrough on your own billing exports — no sales call required.