Adding AI capabilities alongside systems of record
Choose the integration and retrieval pattern from the task, while preserving clear data ownership.
An AI feature needs access to business records, but adding it need not begin with replacing the systems that hold them. First identify the task, the authoritative data and the connections the application needs. Then evaluate which systems can remain and which changes are necessary.
An optional alongside architecture
SC-SP-01 · REV A · 2026.07
Business systems
Authoritative records
owners and permissions
Existing applications
operating responsibilities
Reporting
current business use
Additional AI application
Approved data access
API / batch / CDC
Retrieval and generation
task-specific design
Evaluation and operation
quality / access / recovery
Illustrative design. Synchronisation and common controls require implementation.
Identify authoritative data and permitted use
Record which system owns each fact, who can access it and how corrections and deletions are made. An AI application may use direct queries, APIs or derived data. Each method needs access controls, source traceability and a way to handle stale or conflicting information. A second copy is not inherently unsafe, but it creates responsibilities that need to be designed.
Choose the connection to the existing estate
CDC can support continuing changes from compatible sources; batch or APIs may suit other tasks. Verify initial load, supported data types, deletes, schema changes and recovery for the exact connectors. Copying changes does create target state, and an open format does not itself guarantee current data, permission inheritance or exactly-once delivery.
Evaluate retrieval and generation separately
Compare structured queries, keyword or vector search, direct document access and other methods against representative questions. Graphs and long context are options with their own costs and failure cases. Check that the model uses the right evidence and declines when evidence is insufficient. Do not infer a universal retrieval winner or an industry-wide migration trend from selected studies.
Plan the transition and assign operating responsibilities
Define which systems continue, which change and how the application can be disabled or rolled back. Review the full processing path, including model services, logs, backups and support access. Existing controls do not automatically govern a new layer. Accept the design on measured business value, data quality, security and operating cost rather than an AI-native label.
// Key Takeaways
What to remember
- Preserve clear ownership of authoritative records.
- Test synchronisation, permissions and recovery for any derived layer.
- Choose a transition based on measured value and operating responsibility.
// FAQ
Frequently asked questions
Does adding CDC avoid a second copy of data?
No. CDC generally maintains or feeds target state. Design its freshness, deletion, access and recovery controls explicitly.
Must an AI project replace or retain every existing database?
Neither is a universal rule. Define the authoritative records, integration needs and business value, then evaluate which systems should change.
Last updated:
Plan Japanese pre-sales for AI connected to existing systems.
StrategyCore works with your engineers and the prospect’s IT team to confirm source-system access, supported API or CDC connections, data permissions and evaluation criteria. We agree deployment and post-sales technical support responsibilities before licensing.