AI delivers the most value when it’s applied to real friction in how work gets done. The first step isn’t choosing an AI tool — it’s identifying where time, effort, or information is being lost.

Common starting points include:

• Repetitive admin that takes up staff time
• Manual handovers between systems or teams
• Processes that rely on people remembering steps
• Reporting that’s slow, inconsistent, or out of date
• Information that exists, but is hard to find or reuse

Once these pain points are clear, it becomes much easier to decide whether automation, AI, or a combination of both will help — and just as importantly, where it won’t.

The goal isn’t to add AI everywhere. It’s to remove friction in a few high-impact areas first, prove value, then build from there.

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