Classifying Your AI migration to Plan for Success

This article explains how to classify AI migrations into three distinct motions—with, to, and from—to ensure proper planning, staffing, and risk management.

• Migrating "with AI" uses AI as tooling to accelerate discovery, wave planning, and dependency mapping during traditional migrations.
• Migrating "to AI" means AI is the destination; requires different governance, evaluation practices, and talent focused on data quality and model behavior.
• Migrating "from AI" involves switching AI platforms; unified APIs like Amazon Bedrock enable model portability without rewriting applications.
• Gartner reports 50% of generative AI projects abandoned after proof of concept; misunderstanding project intent is the primary failure cause.
• Confusing motions leads to under-resourcing; "to" migrations staffed as "with" initiatives fail due to inadequate governance and talent planning.
• AWS Transform automates discovery and wave planning for "with" migrations; Amazon Bedrock provides unified model access for "from" migrations.

Classifying migrations correctly from day one aligns staffing skills, governance models, and timelines with actual requirements rather than assumptions.