WHEN IT FITS
Suitable scenarios
- An existing system needs intelligent search, Q&A, content processing or automation.
- The client wants AI capability without rebuilding the whole system.
- A grey release and rollback path are required.
SERVICE SCOPE
AI Upgrade for Existing Systems
ASWORK upgrades existing business systems with AI capabilities while preserving control, permissions, logs and rollback paths. The work starts with current architecture, data and integration conditions.
CLIENT INPUTS
Information needed before scope confirmation
- Current architecture, database, interfaces and deployment mode.
- Business scenarios where AI is expected to add value.
- Permission rules, logging requirements and acceptable release strategy.
AI VALUE
Where AI can participate in this service
AI upgrades should not damage current business stability. ASWORK starts from the existing system, data, permissions and release conditions, then adds AI capability through controlled interfaces.
01
Add AI capability through API, module or workflow integration.
02
Keep permissions, logging and rollback paths visible.
03
Evaluate effect with real tasks before wider release.
DELIVERY PROCESS
From feasibility to handover
- 01
Assess current system and integration risks.
- 02
Select AI scenarios and define release scope.
- 03
Implement interface, permission and AI processing logic.
- 04
Run grey release, testing and effect evaluation.
- 05
Hand over deployment, rollback and maintenance notes.
ACCEPTANCE
Acceptance checkpoints
- AI functions work inside agreed existing-system workflows.
- Permissions, logs and abnormal cases are verified.
- Rollback or degradation path is documented.
BOUNDARIES
Scope boundaries
- Legacy system defects outside the integration scope are handled separately.
- Data cleanup and process redesign may require separate work.
- AI effect depends on available system data and user workflow consistency.