Budget Planning
& Allocation
Set approved AI budgets before deployment.
Allocate budgets by department, use case, AI agent, model, provider, or owner.
Plan, monitor, and enforce AI spending before limits are exceeded.
Control AI budgets across every department, use case, agent, model, and provider with continuous monitoring and approval-based enforcement.
Set approved AI budgets before deployment.
Allocate budgets by department, use case, AI agent, model, provider, or owner.
Track actual AI spend and forecast future consumption.
Compare budget, actual usage, committed spend, and month-end forecast before overspend occurs.
Enforce budget and approval rules before AI actions execute.
Warn, require approval, throttle, pause, or block AI activity when control conditions are not met.
Prevent additional spend without authorization
Notify the owner before limit is reached
Reduce execution frequency or model usage
Prevent unapproved AI spend
Route exceptions to required approver
Define AI use cases and set approved budgets with owners.
Allocate budgets by department, use case, agent, model, or provider.
Continuously track actual spend, usage trends, and forecast consumption.
Receive warnings when thresholds are approaching or at risk.
Approve additional spend, adjust budget, or change usage parameters.
Enforce rules before AI actions execute. Throttle, pause, or block when needed.
An AI agent is about to perform an action that incurs cost.
System checks budget availability, policies, and approval rules.
Action proceeds only if within approved control conditions.
Every decision and action is logged for audit and compliance.
Optional Planning Tool
Estimate expected model, token, retrieval, search, and usage costs before creating an approved AI budget.
Why It Matters
Prevent overspend
before it happens
Increase predictability
and cost efficiency
Ensure accountability
and ownership
Support compliance
and audit readiness
Every AI dollar stays inside an approved budget, policy, and control path.