What is digital maturity?
Digital maturity is a measure, usually expressed in levels, of how well a company uses digital tools across its processes, data, technology and team skills. Assessing it before investing in AI or automation shows where to start and which basic gaps should be closed first.
Definition
Digital maturity is a measure, usually expressed in levels, of how well a company uses digital tools across its processes, data, technology and team skills.
How is digital maturity assessed?
Common models look at a company across several dimensions: strategy and leadership support, whether processes are defined and measurable, whether data is accessible and reliable, technology infrastructure, and the team’s digital skills. Each dimension is rated on a scale from “initial” to “continuously improving”. A single overall score can mislead; the real value lies in seeing the imbalance between dimensions.
When do you need it?
Before committing to AI or workflow automation, when choosing a new ERP or CRM, and when applying for a funding or support programme. The assessment separates the work you can automate right away from the work that needs to be put in order first.
A typical picture
A pattern we often see in Turkish SMEs: accounting is orderly in a local ERP such as Logo, Mikro or Netsis, while sales and operations live in Excel and WhatsApp. Mandatory e-invoicing has digitised finance, and other departments have fallen behind. The assessment also shows where personal data sits, which matters under GDPR and KVKK, Türkiye’s data protection law. Low-code tools are a good way to make progress without a large engineering team, and as AI use grows, AI governance becomes part of maturity too.
Related terms
- Workflow automationWorkflow automation is an approach in which software carries out the repetitive steps of a business process, such as data transfer, approvals, notifications and reporting, according to defined rules.
- AI governanceAI governance is the set of policies, roles and processes that determine how an organisation selects, uses, oversees and manages the risks of its AI systems.
- Low-codeLow-code is a software development approach in which applications and workflows are built mainly with visual interfaces, drag-and-drop components and ready-made connectors, extended with small amounts of code where needed.
Frequently asked questions
How is digital maturity measured?
Through structured questions across dimensions such as strategy, processes, data, technology infrastructure and people skills, combined with a review of existing systems. The output should be less a score than a short roadmap showing the next step in each dimension.
Can a company with low digital maturity run an AI project?
Small, contained projects, yes. But if data is scattered and processes are undefined, AI will not deliver what is expected. Often the first step is to bring data into one place and write processes down.
Let’s talk about your transformation
Tell us which work repeats every week. We will tell you honestly whether it is worth automating.
How we start
- A free first callWe pin down the problem and the goal together.
- A 2-week discovery sprintWe look at the data, the process and the tools, and decide where to start.
- A written proposalScope, architecture and timeline, in writing.