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Process|December 22, 2025|4 min

Why 60% of AI Automation Projects Fail

Generic AI can't capture how your business actually thinks. Here's why RAPID works when others don't.

By Ara Mammo
Why 60% of AI Automation Projects Fail

Most AI automation projects fail.

Not because the technology does not work

but because it is built on the wrong foundation.

The Problem With Generic AI

Generic AI tools promise to automate everything.

What they cannot capture is what actually matters.

  • -Your specific decision rules
  • -Your team’s shortcuts
  • -The gut feel calls your experts make
  • -The real context inside your business

Why RAPID Works

We spend Phase 1 one to two weeks listening.

Not to what the manual says.

To how your people actually work.

That is the difference between 92 percent accuracy and 60 percent accuracy.

The Three Things We Capture

  • 1.Explicit Rules
  • 2. The documented process
  • 3.Implicit Knowledge
  • 4. The shortcuts experts rely on
  • 5.Decision Logic
  • 6. How edge cases are actually decided

The Result

When you build on real knowledge instead of generic patterns, automation works.

It fits your business.

Your team trusts it.

Your ROI is real.

That is why RAPID Phase 1 is non negotiable.

Rush it and you get generic automation that fails in six months.

Take the time to listen and you get a system that works for years.

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institutional knowledge?

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