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AIMM™ — Ayati AI Maturity Model
From Adoption to Decision Sovereignty
Measure AI maturity as decision reliability — not tool adoption. This interactive page explains the five dimensions, computes REI™/DVI™/DFI™ deterministically, and generates a 90‑day roadmap priority list.

Intro

Adoption → Decision Sovereignty
AIMM™ Decision-system readiness Audit-ready
Measure AI maturity as decision reliability — not tool adoption.

Most organisations can build dashboards and models. Far fewer can produce repeatable, governed, audit-ready decisions. Use this page to explain AIMM™ and simulate the indices in real time.

Pure HTML/CSS/JS. Deterministic interactions. No external JS dependencies.

Why AIMM™ exists

The gap between "insight" and "decision" is where most programs fail.
KPI drift Trust collapse Model fragility Audit friction Insight without action
  • Definitions evolve informally → dashboards decay in 12–18 months.
  • Models ship without registries or owners → drift goes undetected.
  • No action loop → "analytics theatre" replaces operational learning.
Reframe: AI maturity is less ambiguity in definitions, ownership, and decision loops.
  • Decision charters define what AI can decide (and cannot).
  • Deterministic pipelines create reproducible outputs.
  • Governance creates receipts: inputs → rules → outputs → outcomes.
  • Integration closes the loop: output → action → outcome → learning.

The AIMM™ model

Five dimensions • one decision-system map
SIA DDI IMC GRC DLI
  • SIA — Strategic Intent Alignment (charter • KPIs • ownership)
  • DDI — Data Determinism & Infrastructure (lineage • versioning • QC)
  • IMC — Intelligence & Modeling Capability (validation • drift • explainability)
  • GRC — Governance & Risk Containment (registry • risk tiers • audit)
  • DLI — Decision Loop Integration (workflows • SLAs • feedback)
What AIMM™ measures: whether AI outputs can be converted into safe, repeatable decisions.
SIA Intent DDI Determinism IMC Intelligence GRC Governance DLI Last-mile AIMM™ = Decision-System Readiness

Risk & fragility indices

Quantify systemic exposure and common failure patterns.
REI™ estimates fragility when foundations are weak.
REI = 100 − (DDI + GRC) / 2
  • High REI → reproducibility + governance are insufficient for safe scaling.
  • Anchored on DDI & GRC because audits and trust fail first.
DVI™ flags drift vulnerability when intelligence outpaces governance.
IMC > 70 AND GRC < 50 → drift risk
DFI™ measures last-mile resistance (insight-to-action gap).
DFI = 100 − DLI

Try the live scoring

Move sliders → see REI / DVI / DFI update deterministically.
68
42
82
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Default
Overall AIMM™ score
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57 Level 3 — Structured
Indices
  • REI: 60 High
  • DVI: ON Drift risk
  • DFI: 45 Moderate
Core idea: Intelligence without determinism increases risk. Governance without integration creates stagnation.
REI™ Gauge
Fragility
0 25 50 75 100 Higher REI = higher fragility
Formula: REI = 100 − (DDI + GRC) / 2
Anchored on determinism + governance because that's where audits and trust fail first.

90-day roadmap engine

Priority = REI × (100 − DimensionScore)
0–30 days
Foundation
  • Decision charter & KPI ownership
  • Registry baseline (data + models)
  • Deterministic pipeline versioning
30–60 days
Structure
  • Monitoring (drift, data quality)
  • Change control enforcement
  • Risk tiering + approvals
60–90 days
Integration
  • Embed outputs into workflows
  • SLAs + playbooks for action
  • Audit receipts end-to-end
Live priorities
Top gaps (from your sliders)
Updates from current REI and each dimension gap.
    Deterministic prioritization: fix the riskiest weak spot first — not the loudest request.

    The decision receipt

    Audit-ready chain: inputs → rules → outputs → actions → outcomes.
    INPUTS Data Scope • Lineage ASSUMPTIONS Rules Definitions • Owners MODEL/RULE Logic Version • Approval OUTPUT Signal Score • Reason ACTION Workflow SLA • Playbook OUTCOME Impact Learn • Improve
    Rule: If you cannot reconstruct a decision later, you cannot safely scale it.
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    AIMM™, REI™, DVI™, DFI™ are Ayati framework components.