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 Amazon Bedrock to the workflows around it
Use Amazon Bedrock for bounded extraction, analysis, generation, retrieval, or tool-assisted work.
Typical objects
The records a scoped build may use
- Model requests and responses
- Files and multimodal inputs
- Tools and structured outputs
- Evaluations and usage
Workflow examples
Practical patterns to evaluate
These are design examples, not claimed customer deployments or results.
- 01
Evaluate Amazon Bedrock on representative business cases before production use.
- 02
Ground outputs in approved context and return structured, reviewable results.
- 03
Limit tools, permissions, retries, and escalation paths around consequential work.
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
Amazon Bedrock editions, APIs, authentication, permissions, webhooks, limits, and vendor policies must be confirmed during discovery. Model behavior, data policy, evaluation coverage, latency, and cost also require testing.
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 Amazon Bedrock 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.