O2 AI FinOps Agent
O2 AI FinOps Agent is an AI FinOps agent from OrbOps AI for connected AWS and Google Cloud billing and utilization data. It explains spend, forecasts costs, identifies waste and prepares optimization recommendations for a named owner to review.
Actual charges come from connected billing records. Forecasts and scenarios are estimates, shown separately from actual charges. Missing billing data or utilisation metrics remain labelled not collected, not zero.
AWS Cost and Usage Report
Measured
Google Cloud billing export
Not connected
Utilisation telemetry
Not collected
Spend horizon
as of latest successful sync
Observe → Model → Propose
Understand spend across connected AWS and Google Cloud accounts with the source and coverage visible. Teams can see where the bill comes from and where evidence is missing. Missing telemetry is labelled not collected, never treated as zero cost or zero usage.
Explore how future demand could affect the cloud bill without confusing a scenario with an actual charge. Forecasts expose uncertainty, source age and coverage so teams can judge whether the evidence is sufficient for a budget or capacity decision.
Receive optimization options with cost and service-impact tradeoffs attached. A named engineering or finance owner reviews what would change and what needs further investigation. A recommendation alone never authorizes an infrastructure change or establishes that money was saved.
ACCOUNTABILITY GATE
The agent prices the tradeoff; a named owner decides; the source, reasoning, approval, and resulting action remain connected as one decision record.
One filter context
Change cloud, account, period, or tags once. Dashboard, Optimization, Infrastructure, Governance, and Intelligence keep the same scope, provenance, and source freshness.
Dashboard
Where the money is right now
Follow burn rate against budget, projected month-end, and a plain on-track, at-risk, or over-budget state. Ask a cost question in natural language, then inspect team allocation, workload carbon context, licence usage, and the agent's latest findings without changing the active scope.
Optimization
Where the money leaks
Find waste and underused capacity across connected clouds, then review the workload impact before changing anything. Rightsizing recommendations depend on measured utilization. When that evidence is unavailable, the gap stays visible rather than becoming a guessed recommendation. Track opportunities through approval to a verified outcome.
Infrastructure
Where the money goes
Relate billed cost to services and resources across AWS and Google Cloud. Review expensive resources, storage class opportunities, network and egress paths, Kubernetes node pools, and managed data systems with period-over-period movement kept in context.
Governance
Rules that hold
Review required-tag coverage, budget guardrails, active exceptions, ownership, and account posture beside the resources that produced the signal. Every count carries coverage, and an expired credential is shown as a source failure instead of an empty estate.
Intelligence
What happens next
Anticipate changes in cloud spend with forecasts that expose uncertainty and the quality of their supporting data. Compare demand or migration scenarios, investigate unexpected movement, and review the options with an accountable owner. Forecast scope depends on available billing history; estimated scenarios stay separate from billed totals and budget pacing.
Every number, with its receipt
O2 AI FinOps Agent keeps measured billing, estimated scenarios, source failures, and missing telemetry visibly different. A recommendation is only as credible as the data behind it, so provenance appears with the result rather than being buried in a footnote.
Evaluate O2 AI FinOps Agent when engineering and finance need to explain a cloud bill, investigate a cost anomaly or review rightsizing with workload impact and ownership visible.
Every figure states whether it is measured or estimated, where it came from, and when the source last succeeded.
Actual charges come from connected provider billing records. Forecasts and scenarios are estimates, shown separately from actual charges.
A missing metric reads not collected. O2 AI FinOps Agent never fills an unknown with zero.
An empty account, an expired credential, and a source with no export are shown as different states.
No random values, demo tier, or placeholder constants enter the numbers presented as estate data.
Accountability gate
O2 AI FinOps Agent can prepare an option and its expected effect. Engineering and finance owners decide whether the evidence is sufficient, when the change is safe, and which policy gate applies.
Cost, capacity, reliability, and workload context stay together.
The accountable engineering or finance reviewer is explicit.
Approval, exception, execution, and verification stay traceable.
Operating model comparison
| Dimension | O2 AI FinOps Agent | Dashboard-based FinOps | Manual review |
|---|---|---|---|
| Signal handling | Continuously relates connected cost and usage signals. | Presents reports and filters for a person to interpret. | Starts from periodic exports and reviews. |
| Operational context | Connects spend to workload, capacity, owner, and change history. | Usually centers the billing view. | Depends on context assembled by the reviewer. |
| Action boundary | Prepares options and routes them to a named owner. | Leaves investigation and action outside the report. | Relies on tickets, meetings, and individual follow-through. |
| Decision record | Keeps source, reasoning, approval, and outcome connected. | Often requires separate notes or workflow. | Lives across spreadsheets, tickets, and messages. |
Connected operating context
Infrastructure Autodiscovery supplies inventory, dependency, and ownership context. O2 Shipper brings cost and capacity questions into the repository-to-cloud plan before production.
O2 AI FinOps Agent FAQ
How O2 AI FinOps Agent reads AWS and Google Cloud cost signals, separates billed data from estimates, and keeps infrastructure changes under accountable approval.
O2 AI FinOps Agent is an AI FinOps agent from OrbOps AI for connected AWS and Google Cloud billing and utilization data. It explains spend, forecasts costs, identifies waste and prepares optimization recommendations for a named owner to review. Figures retain source, freshness and coverage so reviewers can distinguish billed cost from an estimate.
A cost dashboard presents reports and filters for a person to interpret. O2 AI FinOps Agent relates billing and usage changes to services, owners, capacity, and operational context, then prepares a reviewable recommendation. It keeps measured data, estimated scenarios, approval, and the resulting outcome connected instead of stopping at visibility.
O2 AI FinOps Agent does not silently change infrastructure. It can prepare keep, investigate, rightsize, schedule, commitment, or storage options with expected cost and workload impact attached. The named engineering or finance owner reviews the evidence, decides when a change is safe, and approves, rejects, or revises it through the configured gate.
O2 AI FinOps Agent estimates future spend using available billing history from connected AWS and Google Cloud accounts. Forecasts and scenarios are estimates, shown separately from actual charges in provider billing records. Source freshness, coverage and uncertainty help reviewers judge their usefulness. Missing exports or metrics remain labelled not collected, never treated as zero.
The described FinOps scope covers connected AWS and Google Cloud billing and utilization sources in private beta. Confirm account coverage, export availability and historical data before evaluating a forecast; Azure billing coverage is not established here. Missing data remains not collected, not zero. A forecast or optimization estimate is not a provider charge or realized savings. Infrastructure changes and commitment purchases require separate authorization; a recommendation alone cannot approve either.
O2 AI FinOps Agent excludes resources without the required measured utilization from rightsizing recommendations instead of guessing their usage. Billing can show what a resource costs, but not whether reducing its capacity is safe. Review source age, missing telemetry, workload demand and recovery requirements before an owner approves a change. An identified opportunity is not realized savings.
Private beta
The described FinOps scope covers connected AWS and Google Cloud billing and utilization sources in private beta. Confirm account coverage, export availability and historical data before evaluating a forecast; Azure billing coverage is not established here. Begin with a read-only billing connection and review data coverage before enabling any separately approved infrastructure action.