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Effectively leveraging digitalization & AI

To effectively leverage digitalization and AI, you need more than just new technology. Success depends on clear processes, reliable data, and an organization that consistently translates digital opportunities into measurable results.

Turning technology into results.

Implementing systems alone does not create value for a company.

Digitalization and AI must be consistently integrated into processes, decision-making, and daily collaboration. Companies often face the challenge of simplifying legacy structures, manual workflows, and untapped data potential while connecting them effectively.

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Effective digitalization creates transparency, accelerates workflows, and improves a company's ability to manage operations. Artificial intelligence helps automate routine tasks, analyze information faster, and make more informed decisions.

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This leads to measurable improvements in efficiency, productivity, and competitiveness.

Are you looking to effectively shape digitalization and AI in your company?

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Effectively leveraging digitalization and AI

Digitalization Maturity Model

Digitalization does not begin with technology, but with the question of how companies want to work, make decisions, and create value in the future. Anyone wanting to successfully leverage digital potential needs clarity regarding their own maturity level, the right priorities, and a path that fits the company's requirements.

The various stages of digitalization maturity show how companies can evolve from manual workflows and digital processes to data-driven and AI-supported business models. They provide orientation and help to plan and implement the next steps in a targeted manner.

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 to Level 2: Knowledge of digital technologies & their relevanceSteps towards level 2: knowledge of digital technologies & their relevance

Level 2

Awareness

  • 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 to Level 3: Experience with digital technologies & pilot projectsSteps towards level 3: experience with digital technologies & a pilot project

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 to Level 4: Successful introduction of digital technologiesSteps towards level 4: successful roll out of digital technologies

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 to Level 5: Anchoring in corporate strategy and cultureSteps towards level 5: anchoring in company strategy and culture

Level 5

Integrative

  • 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 to Level 6: Pioneer in the use of digital technologiesSteps towards level 6: pioneering the use of digital technologies

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

Discover these categories

How we work

We streamline complex processes

01

Orientation

First, we establish a situational overview, set goals, and define the project scope to ensure a clear mandate.

02

Analysis

In the second phase, we conduct an as-is analysis, define potential opportunities, and formulate solutions tailored to the diagnosis.

03

Conception

Next comes the change phase, involving a concrete package of measures that we implement practically based on a timeline.

04

Anchoring

The fourth phase involves impact monitoring and ensures success by stabilizing measures with final documentation.

Team at work

Downloads for this category

AI Governance Best Practices

This overview outlines best practices for establishing and advancing effective AI governance. It provides guidance on how mid-sized companies can manage AI risks, meet regulatory requirements, and sustainably integrate the responsible use of AI into their organization and processes.

AI Governance Roadmap

This overview outlines the key steps for establishing effective AI governance. It helps medium-sized enterprises define responsibilities, meet regulatory requirements such as the EU AI Act, and embed the use of AI securely, transparently, and sustainably within their organization, processes, and leadership.

Case Study: Digitalizing Sales Processes

This client approached us to overhaul their sales processes and to evaluate and implement digital technologies.

Case Study: ERP System Implementation

A company approached us to support them in modernizing their IT infrastructure and business processes and to manage the implementation of a new ERP system.

Case Study: Selecting a Competency Management Tool

This case study serves as an inspiring example of how to select and implement a competency management tool and the accompanying processes required for success.

Checklist: Implementing an ERP System

Given the rapid pace of technological change, increasingly complex business processes, and the associated requirements, many medium-sized companies now need an ERP system. This checklist provides an overview of how to implement an ERP system.

Checklist: "Implementing an HR Management Tool"

This checklist guides you through every step, from initial strategic considerations and requirements analysis to selecting and implementing the right HR management tool for your company.

Deep Dive: AI Governance Frameworks

This overview provides a summary of established AI governance frameworks. It offers guidance for selecting suitable governance approaches and helps companies manage AI in a structured, transparent manner that complies with regulatory requirements.

Deep Dive: Operating Model After Implementing a Digital Tool

This overview highlights the roles, decision-making paths, support structures, escalation procedures, and processes for prioritization and further development that have proven effective in practice, and shows how companies can integrate them during the project preparation phase.

Deep Dive: Overview of People Management Tools

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

Digitalization Maturity Model

This model outlines the various maturity levels that companies typically go through regarding digitalization.

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Get in touch! After a personal consultation, you will know exactly what THE MAK'ED TEAM can do for your company.

We look forward to hearing from you.
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