7-Point AI Readiness Diagnostic
7-Point AI Readiness Diagnostic

Stop the Stall: Diagnose Your Governance Gap in 5 Minutes.

Most AI initiatives fail because organizations skip the readiness layer. Ciph Lab’s diagnostic is a Fit Filter Rubric™ prototype to assess governance, data, talent, and operations before you ship.

Readiness Before Rollout.

This tool routes initiatives to **Ready / Defer / Redirect** using evidence, not opinion. It eliminates the friction that leads to the **$4.4B in early AI losses.**

Use it for **intake, pre-flight review,** or quarterly maturity checks to ensure accountable automation.

The Seven Checkpoints

This framework addresses the structural weaknesses that derail AI initiatives, ensuring policy translates to operational practice.

Governance — Policy & Decision Rights

Authority, escalation, and explainability are defined, moving policy into operational practice.

  • Check 1: Do we have measurable signals for Ready / Defer / Redirect *before* development begins?

Data — Integrity & Access

Lineage, quality thresholds, and least-privilege access exist for resilient Intelligence Resources™.

  • Check 2: Is the governance framework decoupled from the specific ML pipeline?

Oversight — Human-in-the-Loop

Review points, reversal authority, and audit trails are in place to manage Agentic Guardrails.

  • Check 3: Does oversight function as a continuous, automated routine (Tier 2/3)?

Risk — Security & Compliance

Threat models, DPIAs/PIAs, vendor posture, and incident hooks protect against compliance failures.

  • Check 4: Is accountability traceable by design, with specific roles assigned to AI-driven outcomes?

Talent — Capability Signals

Role clarity, fluency baselines, and targeted upskilling mapped to Multidimensional Talent.

  • Check 5: Are we screening for Multidimensional Fluency over single-domain expertise?

Operations — Process Readiness

Workflow fit and orchestration across teams & tools that scales sustainably (no heroics).

  • Check 6: Are we building the new AI structure on non-scalable legacy scaffolding? (Answer should be No.)

Measurement — KPIs & Drift Monitoring

Success metrics + bias/drift checks feed back into governance for continuous calibration.

  • Check 7: Do we have a clear HITL protocol to manage over-delegation in semi-autonomous systems?
Download the Readiness Diagnostic Prototype (PDF)

Enter your details to activate your Diagnostic. We will send you the 7-Point Fit Filter Rubric™ Prototype to begin measuring your Governance Gap.

We’ll review requests and **prioritize responses from high-signal teams** (legal ops, governance, or AI program leads).

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