top of page

ARI™ — Agentic Readiness Index™

Agentic AI Readiness for Organizations

Know Where to Begin — and Where Not to Proceed

Most organizations don’t struggle with AI because the technology is immature. They struggle because autonomy is introduced into organizations that aren’t designed to absorb it.

ARI™ — the Agentic Readiness Index™ is a first-principles diagnostic framework that evaluates whether an organization is structurally, operationally, and cognitively ready to deploy agentic AI.
 

Most AI readiness tools tell you where you rank. ARI™ tells you where to begin — and where not to proceed.

What Is ARI™?

ARI™ is an organizational AI readiness assessment designed specifically for agentic AI systems.

Unlike traditional AI maturity models, ARI™ does not evaluate:
 

  • Model sophistication

  • Tool adoption

  • Technical capability in isolation


Instead, ARI™ evaluates whether your organization can safely support autonomous AI behavior without amplifying risk, complexity, or hidden failure modes. ARI™ acts as a readiness gate, not a scorecard.

What ARI™ Evaluates

ARI™ assesses readiness across the core dimensions that determine whether an organization will stabilize or destabilize under agentic AI.

Structural Readiness

  • Are workflows legible, bounded, and repeatable?

  • Can work be described consistently across teams and systems?

  • Are inputs, outputs, and dependencies clearly defined?

Operational Readiness

  • Is decision ownership explicit and enforceable?

  • Are escalation paths defined for edge cases and exceptions?

  • Can outcomes be measured, audited, and corrected?

Cognitive Readiness

  • Are humans positioned where judgment and meaning are created?

  • Is cognitive load already stretched thin?

  • Will AI reduce burden or silently compound it?

Governance Readiness

  • Can drift be detected before it becomes failure?

  • Are accountability and response paths clearly defined?

  • Does governance scale as autonomy increases?

Autonomy Readiness

  • Is the level of autonomy appropriate to risk and reversibility?

  • Are stop-points defined for irreversible decisions?

  • Is autonomy expansion intentional—or accidental?

What You Get From ARI™

ARI™ delivers clarity before commitment.


Organizations receive:
 

  • A structured agentic AI readiness profile

  • Identification of organizational constraints to safe autonomy

  • Clear guidance on:

    • Where agents can be deployed now

    • Where redesign is required first

    • Where autonomy should not yet be introduced


Often, the most valuable outcome is restraint: Confidence in what not to automate yet.

When Organizations Use ARI™

ARI™ is most often used when leaders are:
 

  • Exploring agentic AI for the first time

  • Recovering from a fragile or stalled AI pilot

  • Scaling autonomy across teams or workflows

  • Responding to board or executive AI risk concerns

  • Experiencing early AI success that feels operationally incoherent
     

ARI™ aligns leadership before momentum creates irreversible decisions.

How ARI™ Fits Into AI Adoption

ARI™ is the beginning of the work, not the end.
 

It determines what should come next:
 

  • AI-Ready Process Redesign when structure is the constraint

  • Agentic System Design and Deployment where readiness exists

  • Continuous Governance Architecture (CGA™) as autonomy scales


Every downstream decision is gated by readiness—not optimism.

Why ARI™ Is Different

Traditional AI readiness assessments ask:

“How mature is your AI?”


ARI™ asks the more consequential question:

“Is this organization ready for autonomy right now — and if not, why?”

By starting from first principles, ARI™ helps organizations avoid:
 

  • Premature automation deployment

  • Governance retrofits after failure

  • Compounding cognitive load

  • Loss of trust following early AI wins

Start With Clarity

If your organization is considering agentic AI,or already feeling its strain, the next step is not another tool.

It’s orientation.

 

Start with ARI™, the Agentic Readiness Index™.

bottom of page