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Independent AI Constraint Diagnosis

Five engagements,
one independent standard.

Every engagement runs on the same evidence-scored AIR Index. Start with the diagnostic, or enter where the decision in front of you demands. The diagnosis is always independent. We build no technology and sell no platform.

See the Engagements ↓
How We Work

Start where the decision demands.

Every engagement runs on the same evidence-scored AIR Index. Start with the diagnostic, or enter where the decision in front of you demands. The diagnosis is always independent, we build no technology and sell no platform.

For CEOs, COOs, Boards & PE Sponsors · Primary Engagement
AI Constraint Diagnostic
An independent, advisor-scored read of the binding constraints stopping AI value from scaling, across leadership, operating model, governance, workforce, value measurement, and technology. Built on executive interviews and document review, scored across the eight conditions of the AIR Index (AIR-O), with the Technology (AIR-T) and Leadership (AIR-L) lenses triggered where the evidence warrants, each a separate diagnostic. You leave with the constraints named and prioritized, and a sequenced roadmap to clear them.
5-10 weeks, scaled to size & complexity
For Boards, Committees, GC & Risk
Board AI Governance Baseline
The independent answer to the question management can't answer for itself: is the AI progress real, and is it governed? Board interviews, a governance and decision-rights review, and an accountability and risk read, delivered with a board education session. The cleanest use of Octant's independence.
Board-ready findings + education
For PE Sponsors & Portfolio Operations
PE Portfolio Baseline
One independent, comparable AI baseline run across the portfolio. A focused AIR-O screen on each company, selective deep-dives where the risk concentrates, and a portfolio heat map that shows where AI capital is safe to commit and where it isn't, the fastest way to a standard you can compare across deals.
Portfolio screen + heat map
For C-Suites
Executive AI Strategy Education
Board and C-suite fluency built on your real gaps, not generic literacy, developed with Dr. Ian McCulloh's AI executive education at Johns Hopkins and tied directly to the governance and investment decisions in front of you. Often the door-opener that leads to the diagnostic.
Workshop or cohort  ·  JHU-linked credibility
How It Runs

From evidence to roadmap,
in five to ten weeks.

The engagement runs in four phases, scaled to the size and complexity of the organization.

Phase 1 · Scope
Align on objectives, scope, stakeholders, and the evidence to review.
Phase 2 · Assess
Executive interviews and targeted document and policy review, no self-rated survey.
Phase 3 · Score
Score the rubric; identify material risks, dependencies, and priority changes.
Phase 4 · Roadmap
Deliver the diagnostic report, scorecard, and a sequenced executive roadmap.
For Partners

An independent diagnostic layer
in front of your engagements.

We build no technology and sell no platform. That independence is the point. For consulting firms, systems integrators, and technology providers, AIR-O is a front-end diagnostic that de-risks the implementation before it starts, and gives the client evidence the AI you field will perform. Add it to a proposal as a discrete line item.

In the Pursuit
An independent diagnostic layer and executive-level discovery.
A differentiated claim competitors can't make, and earlier visibility into the delivery risk hiding in the account.
Before Deployment
A baseline of the organizational blockers before the technology goes in.
Fewer adoption surprises and a faster path from deployment to value, measured, not assumed.
For Account Expansion
Evidence of governance, data, workflow, and operating-model gaps.
New, defensible scopes of work that the client can see the reason for, sequenced by what matters first.
For Durable Engagement
Repeat measurement at the milestones that matter.
A relationship that continues through governance, execution, and scaling rather than ending at go-live.
Consulting Firms Systems Integrators Technology & Platform Providers
Where We Go Deep

Built for industries where
governance is not optional.

Our partners spent their careers inside regulated, high-stakes organizations. AIR-O is built for environments where AI has to clear governance, security, and accountability bars before it can scale, not after.

Defense & Aerospace
Mission systems where AI must satisfy safety, security, and accountability before it reaches the field.
GovCon & Federal
Acquisition, mission, and operating realities, where AI is often deployed faster than the organization can govern it.
Healthcare
Clinical and operational AI under real regulatory scrutiny, where the cost of a wrong call is measured in more than dollars.
Financial Services
Model risk, audit, and regulatory exposure, where boards have to evidence oversight, not assert it.
State & Local Government
Citizen-facing services under procurement rules, transparency mandates, and tight budgets, where public trust sets the bar.
Dr. Ian McCulloh
A former Managing Director at Accenture Federal Services, and now directs AI executive education at Johns Hopkins. Carnegie Mellon PhD in Computer Science / AI; retired U.S. Army Lieutenant Colonel.
Maria Chaloux
Led executive recruiting at Accenture Federal Services. Founded three executive search firms. Hogan certified.
Begin Here

Before the next model or platform,
one honest read of the organization.

A senior, independent diagnostic, advisor-scored across eight organizational conditions and built on executive interviews rather than surveys, a single, substantial 5-10 week engagement. AIR-O produces the roadmap, and the roadmap sets what follows.