AI for IBM i Software

How do we avoid risky or low-value AI integrations?

Keep the first use case narrow, define a measurable outcome, require human review where business consequences are real, and avoid letting the model write directly to production systems without controls. Teams get into trouble when they start with a vague promise of AI transformation instead of a defined workflow problem.

Answer

Keep the first use case narrow, define a measurable outcome, require human review where business consequences are real, and avoid letting the model write directly to production systems without controls. Teams get into trouble when they start with a vague promise of AI transformation instead of a defined workflow problem.

Low-value integrations usually reveal themselves quickly because they add complexity without reducing friction. Buyers should ask what process gets faster, safer, or easier to support if the pilot succeeds.

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