For CIOs who have run enough pilots
Pilots succeed in isolation. Productivity improves in pockets. Yet at the enterprise level, boards see no meaningful margin expansion, operating models remain intact, and decision speed stays constrained by legacy structures.
This is the diagnostic that explains why. Built on the same frameworks RLK developed across a decade at McKinsey and Deloitte, it identifies the structural barriers preventing your AI investments from translating into enterprise value.
The Problem
The tools work. Individual contributors report meaningful productivity gains. But the organization surrounding those tools has not adapted. Approval chains still assume scarce information. Governance frameworks still treat AI as an IT project. Financial measurement still cannot connect deployed capabilities to bottom-line impact.
of organizations use AI in at least one business function, yet only a small fraction can point to measurable bottom-line impact.
the number of AI pilots launched vs. those that reach production. Most organizations are stuck between experimentation and operational integration.
months from AI use case identification to funded pilot in most enterprises. By the time approval arrives, the competitive window has narrowed.
What You Receive
The AI Diagnostic measures five hidden dimensions that determine whether your AI investments translate into enterprise value, or evaporate.
How employees actually use AI vs. how leadership thinks they do.
Who controls AI decisions. Where permission bottlenecks exist.
Whether AI is embedded in work or bolted onto it.
How fast your organization moves from insight to action.
Whether AI value shows up in financial statements or vanishes.
61 behavioral questions that diagnose how your people actually interact with AI, not which tools you purchased. The gap between those two things is where value disappears.
Dollar-denominated unrealized value your board can act on. Not vendor ROI projections. An independent economic model that translates behavioral patterns into financial exposure.
A 5 to 8 page PDF briefing designed for executive and board audiences. Enriched with company-specific intelligence from public filings, news, and competitive analysis. Includes a 90-day action plan with named owners.
Who Built This

Ryan L. King
Founder, RLK Consulting
Ryan has spent nearly 15 years in consulting, including a decade across McKinsey & Company and Deloitte, advising CIOs, CTOs, and senior technology leaders on strategy, performance, and organizational transformation. She is the author of The Human and Machine Company (2026).
Her work sits at the intersection of technology strategy and organizational design. She has advised leaders inside Fortune 50 enterprises and small founder-led companies, across insurance, banking, healthcare, logistics, government, consumer retail, aerospace, and technology environments.
This diagnostic is a productized version of the assessment Ryan has conducted by hand for enterprise clients. The same frameworks, the same analytical rigor, the same CIO-grade output. Delivered in 20 minutes instead of 6 weeks, at a fraction of the cost.
The Core Thesis
“Artificial intelligence is not failing inside large organizations. It is colliding with management structures designed for a different information environment. The tools are working. The organization surrounding them has not yet adapted.”

The Book
The Human and Machine Company
How organizations must restructure authority, governance, and decision-making to capture value from AI.
Read more →What This Diagnostic Measures
AI adoption follows a predictable progression. Individuals experiment. Organizations attempt to govern. Only later do some redesign workflows and decision authority. Most enterprises are stalled between governance and redesign, accumulating activity without structural impact.
The diagnostic measures exactly where you are stalled, what structural barrier is holding you there, and what it is costing you in unrealized value.
Built on frameworks developed across nearly 15 years of enterprise advisory work spanning financial services, insurance, healthcare, government, logistics, and manufacturing.
Three steps. Twenty minutes. Board-level clarity.
Answer 61 behavioral questions across five dimensions. While you respond, our AI researches your company using public filings, news, and competitive intelligence.
Your diagnostic data merges with company-specific intelligence to produce a structural analysis: stage classification, composite indices, and economic quantification.
Download a professionally formatted PDF briefing with executive summary, vendor landscape analysis, competitive positioning, and a 90-day action plan with named owners by role.
The same analytical framework RLK applies in six-figure advisory engagements. Productized for leadership teams that need clarity now.
One-time assessment
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