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What is a digital and AI maturity assessment, and how is it done?

May 14, 20267 min read

"Digital maturity" is often treated as an abstract score or survey result. A useful maturity assessment, though, is a concrete decision tool that shows which investment an organization actually needs first. This article walks through the five-dimension framework we use in advisory work, and how it turns into a real roadmap.

Why a single 'digitalization score' isn't enough

An organization's accounting might be highly mature while its field operations still run on paper. A single average score hides that gap and leads to the wrong priorities. That's why a maturity assessment should be done across five separate axes — process, data, systems, people and governance — not one blended number.

What the five dimensions actually mean

Process: how many hands a task passes through from start to finish, which steps wait on approval, and where work is duplicated.

Data: how many systems hold the same information, at what quality, and which source counts as the single source of truth.

Systems: how well ERP, CRM, accounting and reporting tools actually talk to each other, and which integrations are still manual.

People: who holds decision authority, how comfortable teams are with digital tools, and where resistance to change actually comes from.

Governance: how the project portfolio gets prioritized, and at what cadence budget and risk decisions get made.

The assessment should produce a priority list, not a score

The output of a good maturity assessment isn't 'your organization scores 62 out of 100' — it's a concrete sequence: 'fix these three processes first, then these two system integrations.' Every opportunity should be scored by expected value, implementation difficulty and data readiness, so the question of what to tackle first is answered by comparison, not intuition.

When to run one

If several digital projects are on the table but it isn't clear which should come first, or if investment decisions rest on assumptions, a maturity assessment is the right starting point. The output should be clear enough to act on by itself; if needed, the following steps move into project management, system integration or AI transformation delivery.

Key takeaways

  • Assess across five separate dimensions — process, data, systems, people, governance — not one blended score
  • The output should be a comparative priority list, not a number
  • This is the right starting point when you can't decide between multiple competing projects
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