Simulation / Run
Governance active - 47,832 decisions processed
Interactive economic intent model

Define workload economics. Govern the spend before execution.

Submit a workload intent and watch the governance engine normalize provider economics, apply financial controls, and explain the business consequence.

Enterprise governance scenariosAdjust any field and re-run after loading a scenario.
Define workload economics
Ownership
Workload Economics
Claimed Benefit
Governance Parameters
Urgency
Failure Tolerance
Provider Intelligence
Execution Priority

Evaluation takes 2-4 seconds. No real spend incurred.

Live governance evaluation Ready
Observe Gate Simulate Execute Audit
Recent governed decisions are loaded. Submit the intent to generate a financial decision.
Decision ready Financial consequence and audit evidence are available.
APPROVED

Economic decision pending

Predicted Spend$247Normalized provider cost
Expected Value$740Declared business outcome
Expected ROI3.0xValue divided by spend
Budget Impact30.9%Share of remaining budget
Waste Prevented$89Provider optimization
Confidence87%Evidence plus reliability
Risk LevelLOWFinancial and execution risk
Payback Period1.2 moSpend divided by monthly benefit
Estimated IRR871%Annual benefit relative to annualized cost
Provider economics comparison
Provider Cost Estimate Efficiency Reliability Governance Recommendation

Pricing as of June 2025 - updated monthly.

View constraint triggers
    Business consequence

    Governance record
    GOV-2847
    Allocated provider
    Azure OpenAI GPT-4o
    Authorized budget
    $2,840
    Monthly budget remaining
    $1,440 / $28,000
    Cost of uncertainty
    $0
    Opportunity cost
    $0
    Predicted vs actual variance
    Tracked after execution
    Allocation policy
    Developer / PASS
    Consumption guardrail
    WITHIN
    Recommended action
    Execute within authorized allocation.
    Stress test governance under changing conditions