Multicloud FinOps Agentic Intelligence

Rogers cloud economics & AI cost governance command center

AzureAWSGCPFY26 Q3 · Updated 04:00 UTC

Executive Command Center

Multi-cloud position, FY26 Q3

Consolidated Azure, AWS and Google Cloud economics for the group, normalized to a single cost model with AI spend attribution and unit economics.

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From fragmented cost tools to one agentic FinOps control plane

Why the executive team is investing in Multicloud FinOps Agentic Intelligence

Today: separate silos

Azure, AWS, Google Cloud and on-premise workloads are each managed in their own cost optimization platforms. Finance sees four different forecasts; engineering works from four different recommendation queues.

The gap: no integrated plan

Decisions in one cloud create hidden costs in another. Reserved capacity, AI growth and workload placement are optimized locally, but the portfolio-level trade-off is invisible.

Tomorrow: agentic unity

This solution ties every provider into a single view and one integrated plan — one forecast, one savings pipeline, one commitment burn-down, and one governance model across Azure, AWS, Google Cloud and OCI.

Select any KPI to drill into its composition and drivers.

Spend trajectory by provider

Monthly run rate, $M — AI overlay shows model, GPU and agent execution cost

Forecast vs budget

Quarter-end variance $2.3M, $M per month

Blue = actual · Red = forecast · Grey dashed = approved budget

Agent activity

Live specialist fleet status

Multi-Cloud Cost Ingestion Agent

Normalizes Azure, AWS, and Google Cloud billing data.

Cloud Comparison Agent

Compares equivalent workloads across Azure, AWS, and GCP.

AI Spend Agent

Tracks model, token, GPU, and agent execution costs.

Waste Detection Agent

Finds idle, orphaned, and underutilized resources.

Workload Fit Agent

Recommends whether workloads should stay, optimize, migrate, or retire.

Unit Economics Agent

Maps cloud cost to cost per subscriber, care interaction, video stream, and network event.

Forecasting Agent

Predicts month-end, quarter-end, and annual cloud spend.

Optimization Recommendation Agent

Prioritizes savings actions by value, risk, and implementation complexity.

Governance and Policy Agent

Applies spend thresholds, ownership rules, exception handling, and approval workflows.

Executive Briefing Agent

Converts technical findings into a CFO/CIO-ready summary.

Unit economics

Cloud cost mapped to business metrics

Cost per subscriber / month

$2.68+11.2%

Cost per customer care interaction

$0.34-19.0%

Cost per video stream (1k streams)

$1.92+3.4%

Cost per network event (1M events)

$0.87-6.1%
Cost per subscriber is rising faster than ARPU. AI inference is the dominant driver.