Prove cloud savings from day one.

Shared Kubernetes clusters, cross-account networking, and platform services used by six teams do not allocate themselves, and spreadsheets do not scale. CloudPi's rule-based cost assignment engine supports filters, pattern matching, allocation targets, priority ordering, and automatic execution every billing cycle.

Example: a $47,000 per month shared Kubernetes cluster can be allocated across four teams by namespace usage, with proportional fallback for untagged pods. When Team Echo launches in Q3, one new rule handles it. No spreadsheet surgery.

CloudPi lets you map cloud accounts to your actual business structure: organization, business unit, department, team, and project. A single account can belong to a cost center and a product line and an environment at the same time.

When teams merge, projects sunset, or new business units launch, you update the hierarchy once and let reports, dashboards, budgets, and access controls update automatically.

CloudPi puts multi-dimensional billing analysis in one place with cost breakdowns, trend analysis, month-over-month comparison, budget tracking, and forecast analysis. The CFO asks why spend went up. You answer in one click instead of a week-long archaeology project.

CloudPi detects billing anomalies before they compound using ML-based baseline modeling, deviation scoring, and alerting for immediate spikes, trending increases, and waste detection. Catching a $500-per-day anomaly on day 1 instead of day 21 is the difference between a lesson and a write-off.

CloudPi builds the FinOps Foundation's KPI framework directly into the platform so leadership can assess program maturity without waiting on a three-day slide-building exercise.

The fundamental problem with most FinOps platforms is that they are recommendation engines, not execution platforms. CloudPi automates the savings pipeline end to end.

Approvals route through Jira, Azure DevOps, or ServiceNow. Execution happens through direct cloud API integration. Verification compares billing data before and after each action.

Not every resource has the same risk tolerance. CloudPi supports three remediation modes within the same policy engine:

• Autonomous: policy fires, CloudPi remediates automatically, logs the action, and calculates TRUE Savings.
• Approval-Gated: ticket created in Jira, ADO, or ServiceNow, a human approves, then CloudPi remediates automatically.
• Manual: ticket created with the resource ID, cost impact, projected savings, and step-by-step remediation guidance.

The same policy can run in different modes per environment. Autonomous in dev. Approval-gated in staging. Ticket plus enriched context in production.

CloudPi's intelligent schedulers automate start, stop, and scaling based on real usage patterns. Business-hours scheduling, distributed-team support, calendar awareness, and exception handling let teams reduce non-production spend without introducing operational risk.

Example: a 24-instance EC2 development environment drops from $18,400 per month to $7,100 per month, a 61% reduction, without engineer intervention after setup.

Most cloud cost tools report theoretical savings. CloudPi's TRUE Savings methodology reports what changed on the actual bill, preserves an evidence chain for finance review, and attributes outcomes to the policy, team, and engineer responsible for the action.

TRUE Savings is always reported in three separate tiers so finance does not have to untangle mixed-value claims.

CloudPi makes tag governance a system instead of a wiki. Teams define required keys, allowed values, and naming conventions at the right scope, then continuously scan for violations, identify gaps, and enforce compliance through notifications, blocking rules, or auto-remediation.

CloudPi's workflow engine replaces manual follow-ups with policy-driven automation. Every workflow follows the same pipeline:

That means autonomous remediation for low-risk actions, approval-gated execution for higher-impact changes, and enriched tickets with resource IDs, cost impact, metadata, playbooks, and deep-links when teams need to implement manually.

Example escalation chain: untagged resource detected, resource owner notified immediately, manager escalated at 48 hours, VP escalated at 120 hours, and auto-tagged as non-compliant at 168 hours.

CloudPi updates budgets daily and continuously forecasts end-of-period spend based on current burn rate and historical patterns. Set budgets at any level, configure early warning thresholds, and investigate the dimensions that moved when actuals diverge from forecast.

CloudPi's RBAC is built for compliance requirements, multi-tenant operations, and separation of duties. It supports seven built-in roles, hierarchy-scoped access, configurable approval workflows, SSO through Okta, Azure AD, SAML 2.0 or OIDC, and a searchable immutable audit trail.

Proof point: one SOC 2 auditor asked three questions about financial data access controls, and all three were answered in under 60 seconds using RBAC exports and audit logs.