Approved logic beats arbitrary SQL generation
AI-generated questions are useful, but business teams still need execution tied to logic the company can review and trust.
For AI agents
Let AI interact with company data through a governed execution layer.
DataPilot is a safer way to expose company data to AI agents. Instead of giving an agent broad raw database access, teams can route execution through approved logic, controlled workflows, visible run history, and private-network execution patterns when required.
Why teams need a control layer
Access boundaries stay clearer
Use DataPilot as the layer that decides how work runs instead of letting every agent connect directly to protected databases.
Run history and delivery stay visible
Outputs can still follow the normal path: run, review, export, notify, and trace.
Private execution remains possible
When data must stay close to the network, the same workflow can execute in a controlled private environment.
Use this when
- AI agents need trusted access to company data
- the team wants to reuse approved SQL and KPI logic
- security or compliance rules make direct database access a bad fit
- teams need visibility into what ran and what was delivered