01 · Visibility
Connect the bill to the work.
Associate workloads, teams, applications and environments with route decisions, validation, latency and cost evidence.
Upcoming enterprise platform · Working local implementation
Execution intelligence for cost, quality and accountable decisions.
AERO connects workload decisions, cost evidence, ownership, validation and quality so teams can understand what ran, why it ran, what it cost and whether the outcome justified the spend.
Azure + Microsoft Fabric roadmapBudget admission controlsOpenTelemetry evidenceLocal demonstration today
Working local buildCore execution, evidence, budgeting, forecasting, experimentation and review flows are demonstrable with local data.
Evidence before claimsIllustrative charges, synthetic records and local simulations are labeled rather than presented as Azure savings or customer deployment results.
Phase 2 roadmapLive Azure/Fabric adapters, production identity, tenant isolation and shared durable storage remain future production work.
Why AERO exists
Make technology spend explainable.
Make its business value testable.
AERO is designed around a simple question: can a technical execution be connected to an owner, a policy decision, a reliable cost fact and an accepted business outcome?
02 · Governance
Decide before dispatch.
Reserve estimated cost against matching scopes and preserve holds when charges are uncertain instead of silently releasing budget.
03 · Optimization
Make a cheaper path earn approval.
Compare equivalent strategies, test output quality and expose whether a candidate actually meets improvement criteria.
04 · Value
Count accepted outcomes.
Separate technical completion from business-task acceptance and include the cost of verification, review and failed attempts.
Operational health
See the evidence that still needs attention.
The health view brings execution status, validation gaps, unknown charges and unacknowledged warnings into one operator-facing assessment.
60 local executionsDisplayed in the supplied demonstration snapshot.
52 fully validatedEight executions still lack full validation in that snapshot.
1 unknown chargeUncertainty remains visible until verified.
10 warningsOutstanding evidence requires explicit operator review.
Demonstration boundaryThe supplied dashboard explicitly identifies this as a local simulation. It does not claim that Azure resources or paid model calls were initiated by the displayed health view.
Planning and forecasting
Model demand before increasing capacity.
Forecasting explores application, workflow and input-size scenarios while keeping the cost basis explicit. The screen also reinforces that failed or blocked work is not automatically a saving and that planning reductions still require quality checks.
Complement—not replacementAERO is positioned to complement Fabric Capacity Metrics and Azure Cost Management by adding workload-owner attribution, admission decisions, charge holds, quality-adjusted unit costs and pre-deployment scenario evidence.
Traceability
Follow execution from route to receipt.
The execution timeline exposes stage-level duration across profiling, routing, reservation, adapter execution, reconciliation, validation and receipt creation. That makes the path itself reviewable instead of leaving operators with only a final spend number.
OpenTelemetry evidence is part of the product direction so cost, timing and execution context can be connected rather than analyzed in isolation.
Quality-aware optimization
Faster is not enough.
The Optimization Lab compares equivalent local transforms and measures elapsed time while checking whether outputs still match. A candidate can be faster without automatically qualifying as an improvement.
Versioned comparisonBaseline and candidate strategies are tested against the same kind of work.
Explicit caveatsSmall local samples are descriptive, not statistical proof.
Azure + Microsoft Fabric roadmap
Extend the evidence model across the platform.
The Fabric evidence pilot is observation-first: it records what is known, what is missing and why a source should or should not be trusted for a decision.
That discipline is intentional. Pipeline history alone does not establish capacity consumption, billing, output acceptance or business success.
Current scopeThe supplied pilot screen labels history as synthetic and cost evidence as not collected. Live integration and broader cross-service attribution belong to the Phase 2 roadmap.
Inside the working application
Real screens. Explicit evidence boundaries.
The product already exposes multiple operational surfaces. The screenshots below are the supplied high-resolution application views—not recreated mockups.
Product maturity and limits
Useful today as a working platform demonstration. Deliberately not presented as a production deployment.
- Local and synthetic demonstration data are labeled as such.
- Illustrative prices do not represent Azure charges or realized customer savings.
- Admission controls govern AERO executions; they do not cap an entire Azure invoice.
- Technical completion is kept separate from accepted business outcomes.
- Live Azure/Fabric integrations and production multi-tenant concerns remain Phase 2 work.
- No Microsoft endorsement is implied; Microsoft services are part of the intended integration environment.
Upcoming enterprise platform
Interested in explainable execution and cost governance?
AERO is being developed as an enterprise execution-intelligence layer for organizations that need better evidence around workload cost, quality, ownership and optimization decisions.