Control model spend
Know who spends how much on AI and set limits.
The problem
Provider invoices arrive as one total: you cannot tell which team or person is spending, nor stop excessive use in time.
How AgentGate solves it
All traffic to the models goes through the gateway, with budgets per organization, group, person or session. With no balance, the model is not called.
An example
Question
“How much did the support group spend this month?”
Answer
Each session shows the model, the tools used and their cost; the group has a monthly cap.
Controls that apply
- Budgets that are never exceeded
- Per-person keys
- Revocation when leaving the group
Other use cases
Query the database with AI
Ask your data questions in plain language, without giving free access to the database.
Operations with approval
Let the agent make real changes, with confirmation and without repeating them.
Internal systems, no open ports
Use AI with systems behind your firewall without exposing them.
Customer support
Assistants that look up orders, statuses and cases with real data.
Teams with several assistants
The same tools for Claude, ChatGPT and OpenCode, with the same permissions.
Sensitive data
Keep personal data from reaching an external AI provider.
APIs as tools
Turn an API you already have into tools for agents.
By industry
Agribusiness and farming
Ask an assistant about harvests, fields and stock, using the data where it already lives on the farm and in the plant.
Financial sector
Assistants that look up portfolio, transactions and compliance data without customer data reaching an outside provider.
Oil and gas
Well, equipment and maintenance status within reach of an assistant, without exposing plant systems.
Mining
Production, fleet and safety data of the operation, available in plain language with permissions by site and role.