PostgreSQL integration with AI agents for plain-language queries
PostgreSQL is an open-source relational database used by internal systems, web applications and data warehouses. Many companies keep the operational data of their products there. The agent connects to PostgreSQL through a database user with restricted permissions, preferably read-only, or through an MCP server, to query data in natural language.
What AI agents do with PostgreSQL
Business questions without asking IT
A manager asks how many active customers bought last month, and the agent writes and runs the SQL query on PostgreSQL. The answer comes with the query used, for anyone who wants to check it.
Anomaly alerts
The agent runs control queries every day, such as orders without payment or incomplete sign-ups, and alerts the owner when the number shifts to a new level.
Reports that do not depend on spreadsheets
Weekly indicators are calculated directly in the database and sent by email or Slack. The number is the same one the system uses.
Investigating a customer case
Support asks what happened to a customer's order, and the agent queries the order, payment and log tables to build the timeline.
Connect PostgreSQL once. The agents use it within your rules.
- Through the APIConnected through the app’s API: iTeam learns the endpoints from the documentation and the scope is confirmed in the diagnosis.
- Each agent gets the right accessYou decide what each agent can read or do in PostgreSQL, by area and by person.
- Human approval where it mattersSensitive actions wait until someone with the authority approves them.
- A trail and a cost for every actionWho asked, what the agent did in PostgreSQL and what it cost, all on record.
Ready-made AI teams that use PostgreSQL
Often used together with PostgreSQL
Questions about PostgreSQL and AI agents
Does iTeam integrate with PostgreSQL?
Yes. The agent connects directly to PostgreSQL with a database user or through an MCP server, and network access is agreed with your IT team.
Can the agent change data in the database?
We recommend a read-only user, preferably on a replica. Writes, if needed, are limited to specific tables and require approval.
What about personal data in the tables?
We can limit access to views that leave out sensitive columns. Every query executed is kept in the audit trail.
