Mining
Production, fleet and safety data of the operation, available in plain language with permissions by site and role.
The problem
Each mine or plant has its own production, fleet and safety systems. Supervisors wait for reports built by hand, and sensitive information should not leave the operation's network.
How AgentGate solves it
You define tools per system and assign them to groups, for example by site or shift. Each person sees only what applies to them, and you can set spending caps if you use AI models to analyze the data.
An example
Question
“What was the night shift production at the processing plant, and how many machines were stopped?”
Answer
Night shift: 8,150 t processed, 94% of plan. 3 machines stopped, the longest for 2 h 40 min.
Controls that apply
- Permissions by site, group and person
- Sensitive data stays in your network
- Spending caps on models
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.
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.
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.