Choose the scope
Who is this investment for?
Select everyone under a leader, or choose a named AI agent. Attach an owner who is accountable for the budget.
How Rispn works
You set the policy.
Rispn enforces it.
Turn an approved AI budget into a policy that applies before supported requests reach the provider.
Follow the three stepsSet the policy
What are the boundaries?
Define the spending limit and permitted models. Preview who is covered and what changes before activating the policy.
Put it into practice
Check before the spend.
Rispn checks the scope, remaining budget, and model rules. Supported requests are allowed or denied, with evidence of the decision.
See the impact first
A clear view.
Before you commit.
Preview the people and workloads a policy will cover. Review the scope before making a new boundary active.
Product preview with sample data.
Practical questions
Know where
the boundary is.
Does Rispn control all AI spending?
Rispn enforces policies for supported requests routed through its control path. We confirm the providers, integrations, and enforcement coverage for your deployment.
What happens when people change teams?
Rispn uses synced users, groups, and manager relationships to keep reporting-line policy aligned as your organization changes.
Can agents have their own budgets?
Yes. A named agent workflow can have a separate spending limit, allowed models, and accountable owner.
A more considered way to fund AI
Start with one team.
Or one agent.
We’ll walk through the budget, policy, and control path together.