Operations and reliability
Operating AI systems
A version registry, evaluations before changes, controlled releases and incidents for AI assistants in production.
Fictional scenario. An example situation that illustrates the approach. It is not a client project and describes no measured results.
Business problem
A fictional company has three AI assistants in production. Prompt changes are made directly and customers discover the regressions.
Assumptions
- The assistants have separate configuration.
- There are sample cases for tests.
- Each assistant has an owner.
Constraints
- No change without review.
- Evaluations never approve changes on their own.
- No conversation content in logs.
Reference architecture
Components by stage — an illustration, not a running system and not a certified design.
01Registry
- Configuration versions
- Diffs and rollback
02Evaluation
- Test set
- Regression review
03Change
- Risk review
- Human approval
- Recorded release
04Operation
- Execution metadata
- Incidents
The diagram as a list
| Stage | Components |
|---|---|
| Registry | Configuration versions, Diffs and rollback |
| Evaluation | Test set, Regression review |
| Change | Risk review, Human approval, Recorded release |
| Operation | Execution metadata, Incidents |
Interfaces
| From | To | Via |
|---|---|---|
| Registry | Evaluations | Version vs dataset |
| Change | Registry | Approved version |
| Assistant | Counters | Metadata without content |
Data flow
- The new version is a draft in the registry.
- The evaluation compares it with the previous version.
- A person approves the change.
- The release is recorded with a rollback plan.
- Incidents point to versions.
Security boundaries
- No keys in the registry.
- Role-based permissions and separation of duties.
- Every decision is logged.
Where a person approves
- Every sensitive change by a second person.
- Release to production.
Delivery phases
01 · Inventory
Assistants, owners, versions.
02 · Evaluations
A test set for each.
03 · Process
Changes with approval.
04 · Operation
Monitoring and incidents.
Limitations
- Evaluations cover only the test cases.
- Every change needs discipline.
Trade-offs
- More control — slower changes.
- Synthetic cases — safe but incomplete.
Related services
Related assessments
Integration patterns used
Workshops and assessments
Facing something similar?
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