SERVICE FACTS

How ASWORK delivers AI Upgrade Services 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.

ASWORK confirms suitable scenarios, required client inputs, AI participation points, delivery stages, acceptance checkpoints and scope boundaries before turning the project into executable, testable and transferable work.

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.

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.

AI USE CASES

Applications of this service

Explore where AI can fit into your operations, what data and integrations are needed, and what an engineering project can deliver.

Knowledge and customer service

Enterprise Knowledge Base and RAG Development

Give sales, service and internal teams one place to ask questions about approved documents, with product context, version controls and links to the source.

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Business workflows and data

AI Procurement Document Processing and Order Matching

Turn purchase orders, delivery notes and scanned attachments into reviewable data, with item matching, quantity checks and references to the original file.

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Business workflows and data