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The Methodology

NAIM — the Naveniem AI Transformation Methodology

NAIM is Naveniem's staged-gate AI transformation methodology: five phases, each closed by a gate, enforced by seven mechanically-checked governance controls. It is synthesised from MITRE, Gartner, ISO/IEC 42001, NIST AI RMF and BCG research, and is the framework encoded into the PortfolioOne and ValueOne products.

The three NAIM products map onto the methodology as its operating layer: MaturityOne diagnoses (Phase 0), PortfolioOne manages (Phases 1–3), and ValueOne proves (Phase 2 onward) — Diagnose, Manage, Prove.

Five Phases

Most AI programmes fail from missing methodology, not missing ambition

Each phase closes at a gate with binary exit criteria. The gate mechanics themselves are delivered within client engagements — what's public is the shape of the method.

PHASE 0

Diagnose

Baseline maturity across 7 pillars. Know exactly where you stand before a dollar is committed.

PHASE 1

Govern & Build

Governance architecture before build-out. Buy-partner-build discipline from day one.

PHASE 2

Prove

Pilots with pre-agreed scale-or-kill thresholds. No pilot purgatory. Ever.

PHASE 3

Reshape

Scale what proved. Reshape workflows around evidence, tracked cost-per-outcome.

PHASE 4

Sustain & Invent

Agentic operations with human accountability, governed expansion.

Seven Controls

Mechanically enforced, not asserted in a slide

Each control is checked structurally in the software that runs the transformation — not a recommendation, a mechanism.

01

Buy-Partner-Build Decision Record

Build is the default-reject option. Every build decision requires a written justification.

02

Scale-or-Kill Threshold

A numeric target and a date, set before the pilot starts. Miss it without a waiver — the initiative is killed. Automatically.

03

Feedback Loop Evidence

Proof the system adapts on real production data. Staging doesn't count.

04

70% Resourcing Ratio Ledger

At least 70% of investment on people and process — checked at every gate, not asserted in a slide.

05

Cost-Per-Outcome Register

AI spend tied directly to measured business outcomes. The executive reporting unit that replaces token counts.

06

Agentic Operating Model Register

Per-workflow human-agent teaming ratios with mandatory human override mechanisms.

07

AI Maturity Diagnostic in Gates

Maturity re-assessed at key gates — progress measured, not assumed.

What's public and what isn't. The phases and controls above are the shape of the method. The mechanics — gate exit criteria, threshold rules, waiver discipline, the 105 assessment rubrics, and the enforcement architecture — are delivered within client engagements. NAIM's controls aren't recommendations in a slide deck; they're enforced structurally in the software that runs your transformation.

Want NAIM applied to your organisation?

The AI Readiness Diagnostic runs Phase 0 as a standalone engagement — a scored baseline across all 21 dimensions in three to four weeks.

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