AI cost governance
Tie AI spend to the agents and models behind it
Halo connects cost analytics by agent and model to budget actions and configurable model routes, giving finance, AI operations, and builders a shared basis for review. Routing can be evaluated for savings potential against workload cost, quality, and policy needs.
Outcomes
What you can show after the pilot
A scoped cost view
Show the agent and model activity included in the pilot analytics and the records used for comparison.
A documented budget response
Show the account or per-agent threshold, its owner, and the configured notification or deployment action.
A reviewed routing option
Show approved model choices, pricing assumptions, and workload needs considered when evaluating savings potential.
The challenge
AI spend needs operating context
Agent activity and model choices can change quickly, while finance and AI operations need clear ownership, practical thresholds, and a measured view of routing options.
Spend needs an owner
Provider and model charges can accumulate across agents, leaving teams to connect usage with the workflows that drove it.
Thresholds need a response
A budget limit helps an owner plan when it is paired with a clear action such as a notice, pause, or stop.
Model choice affects cost and quality
Workloads have different cost, quality, and policy needs, so a route that fits one task may not fit another.
How Halo solves it
Connect agent setup to spend review
Set an agent’s model and budget, route requests through the model gateway, and review how cost controls and route choices fit the workload.
Optimize
Halo Agents
Set model choice, policy, approvals, app connections, and a budget together during agent setup. This gives the model gateway a defined workload and owner to govern.
Secure
Model Gateway
Route model requests through the gateway so configured policies, route profiles, and fallback paths apply to the selected traffic. The gateway provides the path for later cost and routing review.
Optimize
Budgets and Cost Controls
Set account and per-agent budgets with thresholds that notify, pause new operations, or stop active deployments. These settings give owners a defined response to review alongside model usage.
Govern
Governance Dashboard
Review cost analytics by agent and model alongside inventory views and audit statistics. The dashboard gives finance and AI operations a place to examine governed usage.
Optimize
Model Routing
Compare approved models through configurable route profiles, catalog pricing, and fallback paths. Matching each workload to an approved model that fits its cost, quality, and policy needs creates savings potential.
Who's involved
Give spend decisions to the right owners
Finance sets the operating limits, builders explain workload needs, and platform owners maintain the governed route.
Finance and AI operations
Often starts here
Set budget owners and thresholds, choose notice or deployment actions, and review cost analytics by agent and model against internal planning records.
AI builders
Describe the workload’s quality and policy requirements, choose the approved model paths, and test route behavior with representative requests.
IT and platform teams
Configure the model gateway route profiles, catalog pricing, and fallback paths, then review the operating records with budget owners.
Suggested pilot
Suggested cost governance pilot
This is a suggested plan, and timing depends on your environment, agent and model traffic, and the cost records in scope.
- Week 1
Choose a workload and owners
Set up the pilot scope with selected agents, model paths, and finance and builder owners. At the end of the week, teams can show the usage included in the review and the records they will compare.
- Weeks 2 and 3
Configure budgets and routes
Set up account or per-agent thresholds, select their actions, and configure route profiles for approved models. At the end, teams can show the budget settings, model choices, pricing assumptions, and fallback paths.
- Week 4
Run a scoped workload
Set up the scoped workload path, route selected model requests through the configured gateway, and review cost analytics. At the end, teams can show the activity visible for the pilot path and its agent and model context.
- Week 5
Review and adjust the operating plan
Set up a review of pilot records against internal expectations and route options against workload needs. At the end, teams can show the chosen budget actions and any routing changes they decide to make.
FAQ
Questions, answered
Halo cost analytics can be reviewed by agent and model for governed usage. Teams can compare that view with existing records when they need broader accounting or planning context.
Account and per-agent budgets can trigger a notification, pause new operations, or stop active deployments when configured thresholds are reached. Owners choose the action for their operating process.
Route profiles, model catalog pricing, and fallback paths let teams compare approved models against workload cost, quality, and policy needs. A suitable route can create savings potential, while actual results depend on workload and configuration.
A configured budget action can stop active deployments when an account or per-agent threshold is reached. Owners can also select a notification or pause new operations, depending on the workflow.
Review model catalog pricing, workload requirements, policy needs, and the fallback path configured for the route. Compare the available cost analytics with internal planning records before deciding whether to change the profile.
Plan your AI cost governance pilot
Bring one real use case to a walkthrough. We will map what you need to see, the decisions you need to make, and the evidence your team will review.