AI. UNDERSTAND. SHAPE. TRUST

Digitalisation with AI - which empowers rather than replaces

Make your working environment efficient and future-proof by creating a seamlessly integrated and intelligent reality of impact through the targeted use of individual AI components.

Customer requirements are collected, prioritised and mapped in a dynamic product backlog. This creates a bridge between user needs, processes and technological possibilities - the starting point for value-adding work.

NexQube combines systemic methodology with technical innovation and thus creates the basis for human-centred, AI-supported and intelligent work processes.

Build AI knowledge and experiences and implement them responsibly – for a human-centered future.

Strengthen competences

We support your teams not only in working with AI tools, but also in developing AI expertise in the given context. 

Through targeted knowledge development and practical support, we create the basis for self-determined AI applications in work processes.

Actively shaping the future

We combine systemic methods with technological innovation - supplemented by a human-centred perspective on the use of AI.

In addition to systemic optimisation, we create space for modular co-design and participatory future development in the course of Work 4.0.

Anchoring change culturally

For us, change is not a project, but a cultural process whose acceptance requires the promotion of knowledge and understanding.

We design spaces in which intelligent technologies and the responsible use of AI work together.

Creating an understanding of AI

Our aim is to anchor AI assistants in everyday working life as a matter of course and to make their effect controllable for the user.

We create structures in which people-led AI deployment is actively utilised and considered - effectively, pragmatically and humanely.

The AI maturity assessment helps you gain clarity, develop perspectives, and build actionable capabilities

Cultural anchoring of AI strategies

A lack of acceptance and unclear objectives are slowing down the sustainable integration of AI into everyday working life.

Joint development of target images for the use of AI - taking into account all relevant perspectives. Maturity analyses reveal opportunities and risks, create clarity and promote cultural anchoring.

Sustainable skills development

A lack of training and knowledge leads to uncertainty and prevents the responsible use of AI.

Targeted training formats for project managers, teams and stakeholders. Teaching AI expertise, methodological knowledge and taking responsibility - practical and application-orientated.

AI-supported agile project management

Insufficient integration of AI into project work creates media disruptions, inefficient processes and unclear responsibilities

Integration of AI agents in project management as a methodical third partner. Use of tools such as prompt catalogues, templates and clear workflows for seamless interaction between people, methods and technology. AI rules.

Clear roles in the AI transformation

Unclear roles and responsibilities lead to misunderstandings, overload and uncontrolled use of AI tools.

Definition of clear roles (e.g. consultant, stakeholder, AI agent) and responsibilities. Introduction of human-in-the-loop principles to control and safeguard the use of AI.

Methodological clarity and acceptance of AI

Uncertainties, ethical questions and conflicting goals are not reflected upon or resolved, so that trust in working with AI is lacking.

Establishment of a methodology for ethical reflection, feedback and error culture. AI is seen as a supporting partner, not a substitute - trust is created through clarity, transparency and participatory organisation.

Compliance & audit security

The EU AI Act categorises AI applications in HR as ‘high risk’, especially for decision support

A specially developed analysis model assesses whether and where AI is considered a ‘high risk’ in the company - e.g. in applicant selection, automated communication or decision support. The location analysis provides you with clarity about the necessary transparency, testing and control obligations - before AI becomes operational.

Benefit from our services for your AI-based HR environment – precisely tailored to your value creation.

Objective: Analyse of AI use cases and define a framework for human-centric AI

  • Maturity check and feasibility analysis along the triad: team, AI, stakeholders
  • Evaluation of structural, cultural and regulatory framework conditions
  • Quick scan on AI risks, acceptance factors and strategic potential
  • Targeting picture of possible use cases, tasks and representative AI roles 

Objective: Define governance, responsibility and decision-making logic with AI

  • Practical, meaningful and useful use cases with human-in-the-loop principles
  • Definition of new roles such as AI agent, AI owner or review manager
  • Design of decision-making processes with oversight models and test scenarios
  • Development of use cases according to relevance, impact and ethical sensitivity

Objective: Realise pilot solutions together with teams, embed AI in methods

  • Development of AI-supported assistance functions along real project tasks
  • Agile implementing of AI applications, task-automation and BOTs
  • Agile management of the AI repository, backlog and introduction via sprints
  • Retros and feedback loops for continuous optimisation of AI usage

Objective: Anchoring AI responsibility and collaboration in the team

  • Training and onboarding for roles in the value chain of the AI triad
  • Formats to raise awareness of the opportunities, risks and limits of AI use
  • Environment for reflection on ethical issues and building trust in AI
  • Guidelines for transparency, fairness and obligations to cooperate in the AI context

Objective: Integrate AI permanently as a third partner, make impact measurable

  • Review formats for decisions, results and human control
  • Operating model with monitoring, feedback and feedback process
  • Sustainable impact through KPIs such as efficiency, quality and trust
  • Link with governance routines: Audit, Compliance, Lessons Learned

Methodology

Guidelines and structure for an AI strategy

We do not offer standard advice, but a clear, systemically sound roadmap to secure your digital transformation from a technological, organisational and regulatory perspective. Our methodology combines maturity analyses, role models and use case prioritisation - and makes AI not an end in itself, but a controllable part of your future strategy.

Expertise

AI - anchoring experience in project teams

I help organisations not only to introduce AI technically, but also to integrate it strategically, culturally and operationally. Through systemic methodology, practical workshops and sustainable enablement formats, we create the basis for responsible, scalable and people-centred use of AI in teams.

Impact

Transformation that inspires instead of overwhelms

Our actions are designed to strengthen understanding, trust and responsibility in dealing with AI. Through enablement formats, interactive training and human-in-the-loop concepts, technology is not only introduced, but used competently and lived sustainably - with an impact beyond the project period.

Your entry:

Your benefit:

  • Analysis of the AI strategy in the value chain of the organisation
  • Proof of concept for selected use cases with depth of impact
  • Project coaching for the introduction of AI in agile structures
  • Methodical consulting and implementation along an AI strategy
  • Clear framework for action and practical objectives for the use of AI
  • Early validation of use-cases, functions, roles and decision paths
  • Strengthening responsibility and team competence in dealing with AI
  • Agile implementation - structured, adaptive and sustainably anchored
Appointment