Database & Data Ops
Query assistance, schema documentation, anomaly detection, and data access auditing — all governed.
This is what Database and Data Ops looks like on the SkipFlo Platform. Ad-hoc data requests answered in natural language. SQL generated with a human review gate. Schema docs kept current automatically. Access anomalies flagged before they become incidents — without a ticket to the data team.
What a DB Agent does
- Natural language query assistance and SQL generation with human review gate
- Schema documentation generation and continuous drift detection
- Data access anomaly detection — unusual read and export pattern alerting
- Data lineage tracking across pipelines
- Access auditing and permission review against data classification policy
Before and after the DB Agent
- Data team buried in ad-hoc SQL requests from every department
- Schema documentation perpetually out of date — nobody trusts it
- Access reviews done manually, anomalies caught late or not at all
- Agent handles routine query requests — data team works on higher-value problems
- Schema docs stay current automatically, always reflecting the real state
- Access anomalies flagged in real time before they become incidents
Systems it connects to
A DB Agent connects to the tools your team already uses. No rip-and-replace. Credentials are stored encrypted in the platform and injected at runtime -- the agent never sees the raw secret.
What teams see when they deploy the DB Agent on the SkipFlo Platform.
See DB Agent in action
Talk to the team about your environment, your workflows, and what a deployment looks like for your organization.
See the full platform.
Every agent runs on the same governed infrastructure. One portal. Full visibility.
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