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Using digitalisation & AI effectively

Using digitalisation and AI effectively takes more than new technology. What counts are clear processes, reliable data and an organisation that consistently turns digital possibilities into measurable results.

Turning technology into results.

Introducing systems alone does not create value for a company.

Digitalisation and AI have to be built consistently into processes, decisions and everyday collaboration. Companies often face the challenge of simplifying structures that have grown over time, manual workflows and unused data, and connecting them effectively.

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Effective digitalisation creates transparency, speeds up workflows and improves a company's ability to steer itself. Artificial intelligence helps to automate routine work, evaluate information faster and take better founded decisions.

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The result is measurable improvement in efficiency, productivity and competitiveness.

Would you like to shape digitalisation and AI effectively in your company?

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Putting digitalisation and AI to work

Digital maturity model

Digitalisation does not begin with technology, but with the question of how a company wants to work, decide and create value in future. Anyone who wants to use digital potential successfully needs clarity about their own level of maturity, the right priorities and a path that fits the company's requirements.

The different levels of digital maturity show how companies can develop from manual routines through digital processes to data driven and AI supported business models. They provide orientation and help to plan and take the next steps in a targeted way.

Download the maturity model

Level 1

Unaware

  • Your company has little or no knowledge of digital technologies and their potential
  • Your company has no strategy or vision for using digital technologies
  • Your employees are not aware of the opportunities and challenges of digitalisation

Steps towards level 2: knowledge of digital technologies & their relevance

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Level 2

Aware

  • Your company has a basic knowledge of digital technologies and understands their relevance
  • Your company does not yet have concrete use cases or strategies

Steps towards level 3: experience with digital technologies & a pilot project

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Level 3

Experimental

  • You are beginning to test and implement digital technologies in selected areas of the company
  • Your organisation is gathering initial experience to better understand the potential of these technologies

Steps towards level 4: successful roll out of digital technologies

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Level 4

Operational

  • You have successfully introduced digital technologies in several areas of your company
  • Your company uses digital technologies to optimise processes and to create competitive advantages

Steps towards level 5: anchoring in company strategy and culture

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Level 5

Integrated

  • Digital technologies are firmly anchored in your company strategy and culture
  • Your company uses digital technologies to develop business models, products and services continuously and to adapt them to the market

Steps towards level 6: pioneering the use of digital technologies

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Level 6

Innovative

  • Your company is a pioneer in the use of digital technologies and actively drives innovation
  • Digital technologies are used in your company not only to optimise existing processes, but also to develop new business models and open up new markets
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Discover these categories

Company leadership
Organisation & processes
Growth
Succession
Restructuring & turnaround
How we work

We streamline complex processes

01

Orientation

First we build a picture of the situation, set the objectives and define the project scope so that the assignment is clear.

02

Analysis

In the second phase we produce the as is analysis, define the potential we see and formulate solutions matched to the diagnosis.

03

Design

Now comes the phase of change, in the shape of a concrete package of measures that we put into practice along a timeline.

04

Embedding

The fourth phase covers impact controlling and secures the result by stabilising the measures, with final documentation.

Team at work

Downloads for this category

Best Practice "AI Governance"

Diese Übersicht zeigt Best Practices für den Aufbau und die Weiterentwicklung einer wirksamen AI Governance. Sie bietet Orientierung, wie mittelständische Unternehmen AI-Risiken steuern, regulatorische Anforderungen erfüllen und den verantwortungsvollen Einsatz von AI dauerhaft in Organisation und Prozesse integrieren können.

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Case study "Digitalising sales processes"

This client came to us to overhaul their sales processes and to assess and implement the use of digital technology.

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Case study "Implementing an ERP system"

A company came to us for support in modernising its IT infrastructure and business processes and to take on the implementation of a new ERP system.

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Case study "Selecting a tool for skills management"

This case study is intended as an inspiring example of how a skills management tool can be selected and implemented and which supporting processes are needed.

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Checklist "Introducing an ERP system"

With rapid technological change and ever more complex business processes and requirements, many mid sized companies now need an ERP system. This checklist gives you an overview of introducing one.

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Checklist "Introducing an HR management tool"

The checklist supports you from the strategic groundwork and the requirements analysis through to selecting and implementing the right HR management tool for your company.

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Deep Dive "Betriebsmodell nach Einführung eines digitalen Tools"

Diese Übersicht zeigt, zeigt, welche Rollen, Entscheidungswege, Supportstrukturen, Eskalationswege und Prozesse für Priorisierung und Weiterentwicklung sich in der Praxis bewährt haben und wie Unternehmen diese bereits in der Projektvorbereitung verankern können.

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Deep Dive "Rahmenwerke AI Governance"

Diese Übersicht zeigt einen Überblick über etablierte Rahmenwerke für AI Governance. Sie schafft Orientierung bei der Auswahl geeigneter Governance-Ansätze und unterstützt Unternehmen dabei, AI strukturiert, transparent und im Einklang mit regulatorischen Anforderungen zu steuern.

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Roadmap "AI Governance"

Diese Übersicht zeigt die zentralen Schritte für den Aufbau einer wirksamen AI Governance. Sie unterstützt mittelständische Unternehmen dabei, Verantwortlichkeiten zu definieren, regulatorische Anforderungen wie den EU AI Act zu erfüllen und den Einsatz von AI sicher, transparent und nachhaltig in Organisation, Prozessen und Führung zu verankern.

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White paper "Digitalisation maturity model"

This model sets out the maturity levels that companies typically pass through in their digitalisation.

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White paper "Overview of tools in people management"

This overview shows the various tools that can be used in HR at the different stages of the employee journey.

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For your future.

Get in touch with us. After one personal conversation you will know exactly what THE MAK'ED TEAM can do for your company.

We look forward to your message.
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