Knowledge Base

Core Concepts

Key frameworks and mental models for understanding AI adoption in organizations. These concepts form the foundation of Alex Myers' advisory approach.

The Install Trap

The belief that value arrives when an agent runs. Work-automation agents made installation a weekend task; deciding what they own and whether they pay off is still the work.

• 67% of pilots never scale — same pattern

• 72% cite workflow redesign as the barrier

• 10-20 hrs/week when structured right

The Accountability Gap

The space between AI outputs and business results. Where AI adoption stalls because no one owns the outcome.

• 72% cite workflow redesign as top barrier

• 67% pilot-only failure rate

• 14 weeks avg. to 80% adoption

The Human Architect

The role that closes the Accountability Gap. Translates AI output into business outcome. Found through Psychology-Led Adoption profiling, not job title.

• 1 role per AI investment

• 15-25% of operator time

• 6 months typical runway

Pilot-itis

The disease where AI pilots succeed in isolation and never scale to production. 67% of AI initiatives never make it past pilot stage.

• 67% never scale to production

• 4-6 weeks to value if designed right

• 14 weeks avg. to 80% adoption

Psychology-Led Adoption

Address human barriers to AI adoption before technical ones. Uses data-driven profiling to identify the 5% who naturally embrace uncertainty.

• 5% are Results Thinkers

• 3x faster adoption

• 72% cite people, not tech

Results Thinkers

The top 5% who ask "What outcome do I need?" instead of "What can AI do?" Your highest-leverage asset for driving organizational change.

• 5% drive disproportionate success

• 15-20 hours/week reclaimed

• Model behavior for peers

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