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Cross-Industryfailure

The Consultant Dependency Trap: When AI Expertise Walks Out the Door

Enterprise Pattern Analysis

42%

abandonment Rate

18 months

typical Cycle

Minimal

knowledge Retention

The Challenge

A major consulting firm was engaged and a flagship AI platform was selected. Eighteen months later, the platform sat mostly unused. The consultants had moved on to the next engagement, taking all the institutional knowledge with them.

The Approach

The engagement followed a common pattern: consultants built the solution, trained a few internal staff in basic operations, and departed. No explicit knowledge transfer milestones were built into the engagement. No parallel internal capability building occurred.

The Results

By year three, the organization was locked into a platform that only the original consultants could extend. Switching costs were prohibitive. This pattern contributes to the 42% of companies that abandon most AI initiatives.

Seven Pillar Insights

Capability Building

When consultants leave and internal teams cannot maintain the AI system, the organization has purchased a temporary capability, not a permanent one.

Strategic Clarity

Engaging consultants without a clear plan for internal capability transfer means the strategic goal was never actually "adopt AI" — it was "rent AI temporarily."

Key Lessons

1

Without parallel internal capability building, consulting creates dependency not capability

2

Every engagement needs explicit knowledge transfer milestones

3

The true cost of consulting includes the long-term dependency it creates

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