← Back to use cases

Representative case study · B2B software provider

Moving a customer-support copilot without a production leap

A staged migration pattern for a production RAG assistant where reliability, multilingual quality and rollback options are more important than a one-time model switch.

Shadow AI migration visualization

Illustrative and anonymized representative case. It describes a common enterprise delivery pattern, not a named customer engagement or a promise of outcome.

The situation

The decision to make

A customer-support copilot was tightly coupled to one model provider and a legacy retrieval path. Product and support teams needed a safer way to compare an alternative configuration without changing the experience customers already relied on.

This representative case describes a support organization serving English, Bahasa Melayu and Chinese users with a living enterprise knowledge base. The migration decision depends on task quality, latency, safety and a clear ability to reverse course.

CoreShift approach

A staged implementation path

1

Discover the existing path

Capture model calls, prompts, retrieval settings, source documents and fallback behavior that shape the live assistant.

2

Build a relevant evaluation set

Test representative support questions, including the languages, document types and escalation scenarios that occur in daily operations.

3

Run in shadow mode

Compare current and candidate outputs away from end users, then use controlled traffic stages only when the evidence supports a change.