Every request can be tied to team, user, agent, model, and runtime surface.
Cost governance
Control AI usage before it becomes invisible operating spend.
AgentShelf gives teams one governed layer for model access, budget policies, request blocking, usage records, cost reporting, and value attribution across agent workflows.
Cost governance
Budget policy activeWebsite front desk
Runtime surface: web
Agent request
Runtime surface: web
Policy check
Budget: 72%
LLM gateway
Gateway: 7 models
Usage record
Trace: Attributed
Budget72%
- Request checked against workspace policy
- Provider and model routed through LLM gateway
- Usage record written with workflow value
Policies can block requests when configured limits are exceeded.
Provider and model access moves through one governed control layer.
Costs are easier to evaluate when they are attributed to business workflows.
Governance model
Move from loose AI usage to accountable workflow operations.
AgentShelf helps teams make AI usage visible, governed, and connected to accountable workflow operations.
Usage visibility
Track usage by team, user, workspace, agent, model, provider, and runtime surface.
Budget enforcement
Apply limits at the right operating layer so rollout can stay controlled.
Request blocking
Stop configured over-budget requests before they create unmanaged spend.
Model access
Route approved providers and models through the LLM gateway.
Finance records
Feed usage records into reporting, billing review, and finance workflows.
Value attribution
Connect AI spend back to the agent workflow and business surface that used it.
Request path
Each request passes through policy, gateway, and records.
Instead of scattered prompts and disconnected provider bills, AgentShelf gives operators a visible path from request to provider response to usage record.
- 01
Agent request
A user or embedded surface starts a governed agent workflow.
- 02
Policy check
Workspace, budget, and access rules are evaluated before model use.
- 03
LLM gateway
Approved provider and model access routes through one layer.
- 04
Usage record
Cost, model, user, team, agent, and workflow context are recorded.
Workflow attribution
Make AI spend explainable to finance, operations, and platform teams.
Finance
Review usage with budget context instead of reconciling disconnected provider charges.
Operations
See which workflows are adopting AI and where policy needs adjustment.
Platform teams
Govern providers, models, runtime surfaces, and shared agent infrastructure.
Responsible rollout note
Budget controls and usage records support governance, while teams remain responsible for configuring appropriate limits, reviewing provider terms, and applying their own operating policies.
Put AI cost governance in the control plane.
See how AgentShelf can make model access, budgets, usage records, and workflow attribution part of your agent rollout from the beginning.