Digital & AI maturity assessment

What digital maturity means

Digital maturity is how consistently a company turns its processes, data and technology into measurable results. It is not the number of tools you own: a company with a CRM, a BI suite and three AI copilots can still sit at level 1 if nobody owns the process and the numbers do not match.

We score five areas because they fail in sequence. Undocumented processes produce unreliable data; unreliable data breaks automation; broken automation makes AI look like a toy; and without governance the whole thing stalls at pilot stage.

The five maturity levels

Level	Score	What it looks like	Next step
1. Initial	0–20	The business runs on manual work and knowledge held in people's heads. Any AI initiative will fail until processes and data have a minimum foundation.	Document and measure the three most time-consuming processes before automating anything.
2. Getting started	21–40	There are tools and good intentions, but they live in silos. Returns get lost because each area solves its own part with no shared architecture.	Connect your CRM and operational system around a single source of truth and assign an owner to each data domain.
3. Connected	41–60	Systems talk to each other and leadership trusts the main numbers. This is where automation starts returning real hours.	Prioritise end-to-end automations with a business case and monitoring from day one.
4. Automated	61–80	Repetitive work is largely automated and measured. AI delivers value in specific cases and the next leap is delegating execution, not just answers.	Introduce agents with scoped permissions over already-measured processes and audit every action.
5. Agentic	81–100	Processes, data and governance support agents that execute under supervision. The focus shifts to scaling use cases and controlling risk without slowing down.	Scale the model to new areas while keeping inventory, traceability and per-agent impact metrics.

How the score is calculated

Fifteen questions, three per area, each scored from 0 to 3. The result is the percentage of the maximum score, mapped to the five levels above. The calculation is deterministic: the same answers always produce the same result and no AI model is involved.

What to do with your result

Below 40: fix processes and data before buying anything else.
40–60: connect systems end-to-end and build the business case for each automation.
Above 60: move from assistants to agents with scoped permissions and audit trails.

If you also need to know which AI obligations apply to your company, run the AI Act check or explore our AI and automation services.