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 Google Gemini to the workflows around it
Build multimodal and agentic workflows with Gemini and Google APIs.
Typical objects
The records a scoped build may use
- Model responses
- Files and multimodal inputs
- Function calls
- Embeddings and usage data
Workflow examples
Practical patterns to evaluate
These are design examples, not claimed customer deployments or results.
- 01
Interpret approved text, image, audio, or document inputs.
- 02
Draft structured output for a downstream workflow.
- 03
Use narrow functions alongside Google ecosystem context.
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
Model and platform choice, Google Cloud configuration, data policy, quotas, tool design, evaluation, and regional needs vary.
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 departments
See the workflow in team context
Bring one real workflow
Define what Google Gemini 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.