Maturity Assessment
AI initiatives often lead to a demo, applause, and then nothing — an island of two enthusiasts. That's not a technology problem but a leadership and operating-model problem: new technology laid over an unchanged structure. Workforce planning and AI strategy sit in different meetings, and the board and management disagree on pace without a shared picture of execution capacity. Most organizations, meanwhile, only know the tip of the iceberg: the chat window.
Seven dimensions with supporting evidence, and a sequence that starts with the fundamental three.
Light: IT architecture and processes first. Extended: then data management and the data foundation.
The iceberg module shows what's possible in terms of agents, chains, decision support, monitoring, and coordination.
The maturity assessment is a tool: a plotting round per dimension with level descriptions and a spread view, with a sub-score for data management per process chain. The output is a score per dimension with supporting evidence, a sequence to follow based on the fundamentals-first rule, and two scenarios. The iceberg module shows, per organizational context, what's possible below the chat window, presented as a knowledge series with examples. The board-management block makes the pace conversation concrete: where the organization stands, what's achievable in twelve months, and what going faster costs. Structured modules for operating model, decision-making, and governance — decision inventory and agent rules — are part of the tool; the heavier design components run through route 2 or 3.
Start of the assessment.
Seven dimensions, multiple participants, with a spread view and process-chain sub-scores for data management.
Score per dimension, scenarios and sequence, with decision inventory and agent rules as follow-up modules.
Repeat annually to see whether technology and level have shifted.
Every report ends in three routes. You choose; we deliver the analysis, not the engagement.
Route 1 — do it yourself: a roadmap per dimension with the fundamentals first, and pilot rules that establish in advance what must be shown, what happens if it isn't, and what scaling up requires.
Route 2 — partly guided: a partner for operating-model redesign and governance setup, while the assessment and records stay in the tool.
Route 3 — outsource: a full human+machine engagement with the partner, with the assessment as the baseline measurement.
The next step
The maturity assessment tells you if you're ready; the ftetoai work scan tells you which tasks and how many FTEs. The two assessments inform each other in both directions and belong together as a fixed bundle.
Go to the work scan →We're building the datasets the analysis will rest on. Let us know you're following along, and you'll hear from us as soon as the first assessments open.
Vraag maar wat er moet staan voordat AI in uw organisatie kan landen.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.