What's the biggest obstacle preventing AI from delivering company-wide ROI?

Many organizations have adopted AI across different teams.

Marketing has its own tools.

Sales has another.

Support has another.

Finance has another.

Yet despite all that investment, many companies still struggle to see measurable business-wide results.

From conversations I've had, the biggest challenge often isn't the AI models themselves.

It's things like:

• Disconnected data

• Multiple tools that don't communicate

• Difficult integrations

• Low user adoption

• Unclear ROI

I'm curious how others have experienced this.

If you've deployed AI internally, what turned out to be the hardest part?

• Integration?

• Change management?

• Data quality?

• Measuring ROI?

• Something completely different?

I'd love to hear real experiences—both successes and failures.