01
Map the workflow
Define triggers, records, owners, exceptions, and the consequence of a mistake.
Custom integration scope
Designed around your workflow and permissions
Connect PostgreSQL to the workflows around it
Use narrowly scoped database roles in custom data and application workflows.
Typical objects
The records a scoped build may use
- Schemas and tables
- Views
- Functions
- Transactions and change data
Workflow examples
Practical patterns to evaluate
These are design examples, not claimed customer deployments or results.
- 01
Read an approved view for live agent context.
- 02
Create a controlled application record through a validated service layer.
- 03
Move reviewed workflow state into an operational database.
Delivery sequence
Integration work starts with the operating process
02
Confirm access
Check the platform edition, APIs, authentication, scopes, limits, and data policy.
03
Build and test
Implement narrow actions and verify normal, failure, retry, and approval paths.
04
Operate deliberately
Document ownership, logs, escalation, stop controls, and the change process.
Platform consideration
Prefer a service boundary over broad direct access; roles, row security, transactions, connection limits, and network controls matter.
Scope before promise
Platform editions, API access, permissions, rate limits, vendor policies, security requirements, and data residency can change what is feasible. CombineApps confirms scope before implementation.
Related integrations
Connect the surrounding stack
Bring one real workflow
Define what PostgreSQL should read, change, and leave for a person
We can map the systems, authority, exception paths, and test cases before deciding how the integration should be built.