11 Capabilities.
One Platform.
Everything you need to see, understand, prevent, find, and fix cloud cost problems β with AI intelligence and enterprise governance built in.
EC2 instances in
us-east-1 (Team: Analytics) increased by $4,200 starting Tuesday.1. Multi-Cloud Spend Visibility
Connect your cloud accounts in minutes and see consolidated spend data across AWS, Azure, GCP, and Kubernetes.
Daily and monthly spend trends with anomaly highlighting, budget posture tracking, service-level breakdowns, ingestion health, and 30-day variance summaries in one shared workspace.
2. Apex AI Agent
A live operations assistant, not a chatbot. Ask questions, get answers, and create governed actions in plain English.
Guided capabilities across observability, governance, operations, and knowledge. Read operations execute immediately, write actions require explicit APPROVE confirmation, and high-impact actions route through full approval workflows.
Guided AI Operations
- βObservability: Executive Briefing, Spend Summary, Top Services, Anomaly Scan
- βGovernance: Open Findings, Active Policies, Budget Status, Pending Approvals
- βConfiguration: Account Verification, Integration Status, Coverage Posture
- βOperations: Load Demo Spend, Request Remediation, Verify Accounts, Commitment Negotiator
- βKnowledge: Web Research with citations from public sources
- βRead actions execute immediately; writes require APPROVE and single-use execution tokens
- βHigh-impact actions go through full approval workflows before execution
- β4 Instruction Profiles: Balanced, Concise, Guided, Executive
3. Pre-Merge Cost Analysis (PR Cost Diff)
Catch cost surprises before they reach production by analyzing Terraform changes from GitHub PRs.
Extracts Terraform resource changes, prices them with live cloud pricing APIs, evaluates active policies, calculates budget impact, and posts a single evolving PR review comment.
- βEstimated monthly cost change (delta)
- βRisk assessment score and contributing factors
- βPolicy compliance result (pass / advisory / block)
- βBudget impact projection
- βTagging compliance check
- βConfidence score for pricing estimates
4. Waste Detection Engine
18+ automated detectors across all clouds and Kubernetes that identify structural savings.
Every opportunity includes estimated monthly savings, confidence score, effort score, risk assessment, recommended action, and a composite priority score so teams know what to fix first.
5. Automated Remediation
Don't just detect waste β fix it. Execute approved actions across all three major clouds.
Every remediation requires explicit human approval. Protected-tag safety, dry-run mode, credential isolation, and immutable audit trails make the workflow safe to operate in production.
6. AI Commitment Negotiator
Automate commitment analysis and purchasing across AWS, Azure, and GCP with integrated approval gates.
Reviews historical on-demand usage, recommends commitment strategies with projected savings and break-even periods, supports dry-run simulation, and executes purchases on approval.
7. Predictive Cost Forecasting
Two competing ML models run in parallel β the system automatically selects the more accurate one.
Daily predicted spend for 7, 14, 30, or 90-day horizons with confidence intervals, MAPE and RMSE transparency, and automatic fallback if data is too sparse.
- βConfidence intervals (80% and 95%)
- βDaily forecasts for 7, 14, 30, or 90-day horizons
- βMAPE and RMSE accuracy reporting
- βBudget breach probability calculation
- βAutomatic model selection with fallback to linear extrapolation
8. Policy Engine & Governance
Define and enforce cost policies across your organization β from advisory warnings to hard blocks.
Tag requirements, risk thresholds, resource restrictions, and budget guardrails are enforced consistently across pull requests, findings triage, approvals, and audits.
Example Rules
9. ChatOps Integration
Bring cost operations directly into Slack and Microsoft Teams.
List pending approvals, approve or reject with inline buttons, and verify actor authorization β all from your team's communication channels.
- βActor authorization verification
- βHMAC signature verification on inbound webhooks
- βTimestamp replay protection
- βInline approve/reject buttons for fast review
- βWeekly digests and anomaly notifications
/finops pendingList pending approvals/finops approve <id>Approve a request/finops reject <id>Reject with optional note/finops helpShow available commands10. Cloud Control Tower 360
See the operational health of every connected account and provider in one posture view.
Control Tower 360 scores account trust posture, ingestion SLO posture, reconciliation posture, and detector coverage so teams know when their data and workflows are actually ready for decision-making.
11. Kubernetes Cost Attribution
Turn opaque cluster bills into namespace, deployment, and team-level accountability.
The native Kubernetes agent ingests in-cluster metrics, maps costs to owners, and generates rightsizing and idle workload recommendations for teams running containerized platforms.
- βNamespace and deployment-level cost attribution
- βTeam-mapped allocation using Kubernetes labels and annotations
- βRightsizing recommendations from request-vs-actual-usage drift
- βIdle pod identification for sustained zero-request workloads
- βOrphaned Persistent Volume detection for unused storage costs
Where These Capabilities Show Up
Move from product capability to day-to-day workflow with GitHub, CLI, ChatOps, IDE, and event delivery integrations.
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