Maturity model

From activity-driven to adaptive capacity system.

Use the selector to locate the current operating pattern. The full model is rendered below for no-JS, print, and search.

Select a maturity level

Level 1

measures effort, volume, headcount, tickets, meetings, launches

AI use: AI used experimentally or opportunistically

Common symptom: lots of motion, unclear impact

What moves you up: documents workflows and pain points; some rework and bottlenecks visible

Level 1

measures effort, volume, headcount, tickets, meetings, launches

AI use: AI used experimentally or opportunistically

Common symptom: lots of motion, unclear impact

What moves you up: documents workflows and pain points; some rework and bottlenecks visible

Level 2

documents workflows and pain points; some rework and bottlenecks visible

AI use: AI applied to obvious tasks

Common symptom: improvements happen locally but do not scale

What moves you up: understands handoffs, decision rights, data trust, incentives, feedback loops

Level 3

understands handoffs, decision rights, data trust, incentives, feedback loops

AI use: AI use cases evaluated against workflow readiness

Common symptom: better prioritization and fewer failed pilots

What moves you up: actively reduces design debt and measures capacity released

Level 4

actively reduces design debt and measures capacity released

AI use: AI deployed where ownership, data, process, and verification are strong

Common symptom: transformation improves cost, speed, quality, trust, resilience, and learning

What moves you up: continuously senses capacity leakage, updates work design, redeploys capacity toward higher-value human and business outcomes

Level 5

continuously senses capacity leakage, updates work design, redeploys capacity toward higher-value human and business outcomes

AI use: AI, people, and systems evolve together

Common symptom: the organization learns faster than its design debt accumulates