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Six Integrated Capabilities.
One Coherent System.

AI fails at the leadership layer — not the technology layer. Each service addresses a distinct structural constraint. Together they convert AI investment into measurable enterprise performance.

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The AI Organizational Readiness Index

70% of AI transformation success depends on
having the right people and processes in place.
The AI Organizational Readiness Index (AORI) was designed to uncover exactly that.
And then we help you fix it.

Traditional operating models, governance structures, leadership mandates, and incentive systems were not designed for AI transformation. Most organizations begin AI investment without understanding the organizational constraints that will keep them from realizing measurable AI success. The AI Organizational Readiness Index maps the structural gaps — across eight dimensions — and produces a precise, sequenced prescription for what needs to be redesigned before AI can perform.

Based on Andrew Ng’s 10-20-70 rule: 10% algorithm, 20% data, 70% organizational transformation.

Where are you in your journey?

Stage 01 · Pre-Investment
We're about to commit to AI — are we actually ready?
Board and executive commitment is in place. Capital is being sized. Before the investment is made, leadership needs to know whether the organizational conditions exist to support it — governance, operating model, leadership capability. This is the highest-leverage moment to engage.
Capital decision pending — structural readiness unconfirmed.
Stage 02 · Early Investment
Programs are underway — but are we building the right foundation?
AI initiatives have launched. Early activity is visible. But there is no independent confirmation that what is being built matches the structural prerequisites for enterprise performance. The question is not whether things are moving — it is whether they are moving in the right direction.
Investment active — structural alignment unverified.
Stage 03 · Active Programs — Stalled at Scale
Pilots are working. Why won't they scale?
Technically successful pilots that cannot move to enterprise deployment. Cross-functional coordination breaks down. Business units pursue independent programs. No enterprise framework exists to govern the portfolio. The problem is not the pilot — it is the organization the pilot is running into.
Structural constraint — operating model fragmented.
Stage 04 · Sustained Investment — Board Pressure
We've been investing for 18 months. The board wants evidence of ROI.
AI investment has been running long enough that the board is asking accountability questions the organization cannot answer credibly. ROI is anecdotal. Leadership transitions may be pending. An independent diagnostic produces either the evidence that validates the program or the structural explanation for why it hasn't performed — both are better than the current answer.
Governance credibility gap — independent assessment required.
Stage 05 · Leadership Transition
New leadership has arrived and needs an honest baseline.
A new CEO, CAIO, or CTO has joined — or is about to. They need an independent organizational baseline before committing to an inherited strategy or accepting an inherited narrative about what has been built. The AORI Diagnostic gives the incoming leader their own evidence-based picture of organizational reality.
Leadership transition — independent baseline required.
Integrated Advisory Capabilities

Six Services. One Integrated System.

Every engagement begins with the AORI Diagnostic. Each subsequent service is sequenced by what the AORI Diagnostic reveals.

02
AI Transformation Advisory
AI Strategy & Governance Advisory
Ongoing advisory for CEOs, Chief AI Officers, and boards — translating AORI Diagnostic findings into enterprise AI strategy, governance architecture, and execution design. Typically structured as a 6–12 month retainer that follows an AORI Diagnostic engagement.
A coherent enterprise architecture connecting AI capability to the operational and financial priorities that drive measurable performance.
03
Organizational Design
Organizational Design for AI
AI operating model design, cross-functional governance architecture, and decision authority structures. Scoped against the organizational findings of the AORI Diagnostic — ensuring structural change is sequenced before talent deployment begins.
AI capability embedded within core business operations — with clear governance, decision authority, and performance accountability at every level.
05
AI Leadership Readiness Index™
AI Leadership Readiness Index™
Evidence-based evaluation of candidates and incumbent leaders against eight traits predictive of AI transformation success — anchored in Hogan psychometric science and a structured behavioral interview. Available standalone or embedded in every Search engagement. Applications include CAIO hiring, board assessment, and succession planning.
A structured leadership profile — replacing subjective judgment with systematic, evidence-based evaluation.
Learn more →
06
Executive Education
Executive AI Strategy Education
Leadership fluency programs for C-suite executives, boards, and senior operating leaders — developed in partnership with Dr. Ian McCulloh's AI Executive Education program at Johns Hopkins University. Tied to governance decisions and performance outcomes, not general AI literacy.
The strategic fluency required to govern AI transformation and allocate capital toward initiatives that produce measurable enterprise performance.
Proprietary Methodology

Three Frameworks.
One Causal Chain.

Every Octant engagement is governed by three proprietary frameworks — built to diagnose structural constraints, evaluate leadership capability, and sequence remediation in the order that produces performance.

01
Diagnostic Foundation
Octant Navigation Model™
Eight dimensions of enterprise AI readiness
The structural lens applied to every diagnostic. Eight dimensions — from Strategic Mandate to Value Measurement — each scored 1–5. Composite score out of 40 identifies where AI investment is structurally constrained and which dimensions are binding.
Explore the Model →
02
Assessment Methodology
AI Organizational Readiness Index
Evidence-based organizational readiness assessment
Scores are assigned by Octant advisors through structured executive interviews and document review — not self-reported. Available as Rapid Diagnostic (1–2 weeks, 4–6 interviews) or Full Diagnostic (3–4 weeks, 8–12 interviews, Board Briefing option).
Explore the AORI Diagnostic →
03
Leadership Evaluation
Octant AI Leadership Readiness Index™
Eight traits predictive of AI transformation success · v3.0
Anchored in Hogan psychometric science (HPI · HDS · MVPI) and a structured behavioral interview. Eight traits evaluated — with a disqualifying threshold on Trait 06 (Ethical Reasoning & Responsible AI). Developed by Maria Chaloux.
Explore the ALRI™ →
Engagement Architecture

How Engagements
Progress

The six-stage sequence reflects the logic of how each stage enables the next. Engagements may enter at any stage — diagnostic findings determine which services are activated and in what order.

01 · Entry Point
AI Organizational Readiness Index
Eight-dimension assessment. Produces Readiness Report, Executive Readout Deck, and Transformation Roadmap.
02 · Strategy Layer
AI Strategy & Governance Advisory
Retainer engagement translating findings into enterprise AI strategy, governance architecture, and mandate definition.
03 · Structural Design
Organizational Design for AI
AI operating model, cross-functional governance, and decision authority structures. Scoped against diagnostic findings.
04 · Capability Review
Leadership Assessment (ALRI™)
Eight Hogan-anchored traits evaluated against AI transformation requirements — for candidates and incumbents alike.
05 · Talent Deployment
AI Leadership Search
Retained search for CAIO, CDO, or Head of AI Engineering. Role archetype defined first. ALRI™ required for all finalists.
06 · Sustained Performance
Executive AI Education
Johns Hopkins partnership programs for C-suite and boards. Tied to governance and performance outcomes.
Begin Here

Most Engagements Begin With
The AI Organizational Readiness Index

A structured, advisor-scored assessment of all eight Navigation Model™ dimensions — built on executive interviews, not surveys. Available as a Rapid AORI Diagnostic (1–2 weeks) or Full AORI Diagnostic (3–4 weeks). The AORI Diagnostic produces the roadmap. The roadmap determines which services follow.