Interest in AI is high across Indonesian enterprises, but most initiatives remain small pilots owned by a single team.

The organizations moving fastest treat AI as a business change programme, not a technology purchase.

Key findings

Pilots are common, production is rare

Most teams have tried a chatbot or copilot, yet few have connected AI to a core workflow with clear ownership.

Data readiness is the real bottleneck

Scattered documents and inconsistent records slow projects down more than model choice or cost.

Leadership sponsorship predicts success

Projects with a named business owner move from pilot to production far more often than IT-led experiments.

By the numbers

  • Exploring38%
  • Piloting34%
  • Scaling19%
  • In production9%
Illustrative: stage of AI adoption across surveyed teams

What this means

  • Start from one high-value workflow with a clear owner and a measurable outcome.
  • Invest early in making the relevant data findable and trustworthy.
  • Plan for change management and training from the first sprint.

Our perspective

AI adoption in Indonesia is less a question of technology access than of focus. Companies that pick one meaningful problem, own it at the business level, and build the data foundations around it will compound their advantage while others keep piloting.