AI and the ERP Migration Decision

AI-assisted migration is prompting businesses to revisit ERP modernisation plans that were deferred because of the work involved. According to ERP Today, automation may reduce repetitive data handling, but it does not remove the need for people to check whether business information is represented correctly. For a growing business considering a move to SAP S/4HANA or another ERP system, the decision is not simply whether AI is involved. It is whether the proposed approach changes the effort your team must provide, and what checks will protect operations during the move.

Revisit the estimate, not just the technology

ERP Today argues that migration estimates should reflect current automation capabilities rather than assumptions built around entirely manual work. It also says implementation teams should test their approach with representative customer data early. That can show which activities may be accelerated, where exceptions arise and how much expert review remains.

For a business weighing modernisation, this makes the estimate itself a decision point. Ask the implementation team to explain which parts of the work are expected to change and what evidence supports that view. A general claim that AI speeds up migration is not enough to show what will happen in your environment.

ERP Today also notes that less effort on one activity does not necessarily determine the overall completion date, because other dependencies may still govern the project. Treat any revised plan as something to examine, not an automatic reason to commit.

Data must make sense after the move

A record can transfer successfully and still cause problems if its business meaning is lost. ERP Today uses manufacturing data to illustrate this: an item record can connect purchasing, inventory, production and costing. Its unit of measure and its relationship to a bill of materials can affect how materials are ordered and used.

The practical lesson applies to the migration decision: ask how the project will check that important records and relationships make sense in the new system. The article says AI-assisted approaches can reduce repetitive handling and bring exceptions to reviewers’ attention. But reviewers need context: the original record, the proposed change and the business rule behind it. Decisions about conflicting definitions or process changes still need clear ownership.

For a growing business in Nigeria, the relevant question is who can make those decisions and whether they can give the project the attention it requires. Automation may reduce repetitive work, but it cannot stand in for business knowledge when a record or process needs judgment.

Ask for evidence before changing course

Before relying on a new migration approach, ask for a test using data that represents your business. ERP Today recommends using early testing to identify accelerated activities, exceptions and the review still required. It also says customers should be able to see where savings occur and how they apply to their own environment.

Useful questions include:

• Which preparation, conversion and validation tasks are included in the estimate?
• What work will automation handle, and what must our staff review or decide?
• How will reviewers see the source record, proposed change and applicable business rule?
• How will the team explain exceptions and account for repeated migration runs?

This evidence can help a business decide whether a previously deferred project deserves another assessment. It does not settle whether SAP S/4HANA is the right destination, or establish that a particular migration will be faster. ERP Today’s discussion is about ERP migration and manufacturing data; it does not provide specific evidence about an S/4HANA project. Keep that distinction clear when comparing options.

The next step is to test the migration assumptions against your own data, processes and available reviewers. If the evidence shows which work changes and which decisions remain with your team, you can assess the project on a more realistic basis without treating automation as a substitute for business validation.