ERP systems hold the most valuable operational data in your enterprise. They're also the hardest to extract, model, and operationalize for AI.

That gap is where AI initiatives go to die.

Custom-built ERP pipelines take 18 to 24 months before data is reliable enough for AI use. They accumulate technical debt fast. And they almost always compromise on the three things AI needs most: granularity, timeliness, and context.

This whitepaper examines the Build vs. Buy decision through five AI-critical lenses - and makes the case for why purpose-built wins every time.

What you'll learn:

  • Why building custom ERP pipelines adds 75–80% ongoing maintenance burden to your team
  • How the "build it ourselves" approach consistently fails to deliver AI-ready data quality
  • Why Gartner predicts more than 40% of agentic AI projects will be canceled by 2027
  • What a purpose-built data foundation actually delivers — and how fast

The bottom line: Every quarter spent building infrastructure is a quarter of delayed AI value: Now there's a faster path.