Enterprise AI adoption has moved past hype into execution. The organizations seeing real ROI share common patterns: they start with well-defined use cases, invest in data quality, and integrate AI into existing workflows rather than building siloed projects.

In this post, we cover:

  • Use case selection: high-impact, low-complexity wins
  • Data readiness: the foundation most teams overlook
  • Integration patterns: embedded vs. standalone AI
  • Governance and compliance from day one

The key insight: successful enterprise AI is 80% engineering and process, 20% modeling. Get the plumbing right first.