Financial sector
Assistants that look up portfolio, transactions and compliance data without customer data reaching an outside provider.
The problem
Risk, compliance and support teams ask IT for queries or copy customer data into tools with no control. An audit needs to know who saw what, and that is not recorded.
How AgentGate solves it
Each query is an approved tool with the exact fields it returns. Personal data is masked before it reaches the model, and every use is recorded with its owner, so you can answer an audit.
An example
Question
“Which transactions over US$10,000 did account 4471 have this month?”
Answer
3 transactions: US$12,400, 15,000 and 10,250. Holder ID masked: ***-***-482.
Controls that apply
- Personal data masked before the model
- A record of who asked what
- Permissions by team and by person
Other industries
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.
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.
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.
Control model spend
Know who spends how much on AI and set limits.
Sensitive data
Keep personal data from reaching an external AI provider.
APIs as tools
Turn an API you already have into tools for agents.