The AI
Value Gap

How Management Turns AI Adoption Into Measurable Business Value

FORTHCOMINGTHE
AI VALUE
GAP
LAYEFA OKIY

AI adoption is everywhere.
AI value is not.

Access, technical success, and usage do not automatically become worthwhile business outcomes. Between capability and value lies a management system.

The book shows leaders how to decide where AI belongs, design it into real work, allocate authority, build the operating conditions, and connect evidence to decisions over time.

The conditions that make AI deliver.

01Value clarity
02Workflow fit
03Operating rules
04Ownership & accountability
05Evidence & learning

A management system—not another catalogue of AI advice.

Readers should be able to distinguish adoption from value, define a value case, locate AI in the workflow, assign authority, design review and escalation, judge readiness, run a pilot as an experiment, maintain permission at runtime, allocate a portfolio, and build the organization required to repeat the discipline.

Follow publication updates