Consulting

AI Implementation & Transformation

AI is transforming the world of work and presenting new challenges for leadership, culture, and collaboration. We support small and medium-sized businesses and associations in areas where traditional AI consulting falls short: acceptance, skill development, governance, and change. AI transformation from the perspective of the organization and its people — the technical implementation is handled by (our) specialized partners.

Our approach

AI is about driving change

We are a transformation partner with an AI focus. We are not an AI tech consultancy.

We work where tools fail: with people, culture, leadership, governance. The selection, implementation and maintenance of AI systems lies with experienced tech partners in our network; we bring in the organisational side.

For AI too, we follow the three phases of our SMART STAKES methodology:

01 · Experience

Gain Practical Experience

At the poker table, decisions are made with incomplete information, exactly as they often are on AI topics. Our interactive formats make fears, opportunities and patterns around AI tangible, so people don't just hear about AI but experience it.

Format

Understand & experience artificial intelligence

Format

Application reflection in daily work

Format

Leadership offsite on AI stance

Outcome: People no longer see AI merely as a tool, but as a driver of impact. They understand and embrace the transformation process, shifting from skeptics to active contributors and change makers.

02 · Foundation

Thematic Consistency

Target picture, AI governance, prioritized use-case fields from an organisational perspective. The methodological toolkit that makes an AI initiative viable from a leadership and cultural perspective.

Structure

Definition of the AI target picture & workstreams

Structure

Building AI governance

Structure

Prioritization of application areas

Outcome: AI becomes a strategic leadership responsibility rather than an IT project owned by someone else. Participants gain a clear understanding of how AI should be used, where it creates value, and the specific benefits it delivers.

03 · Anchoring

Long-Term Value

AI multipliers within teams, continuous capability building, impact measurement beyond mere usage numbers. What emerges is not an isolated solution, but an organisation that works with AI and knows what that means for its people.

Implementation

Building an AI multiplier network

Implementation

Capability building at all levels

Implementation

Impact measurement & adjustment at user level

Outcome: AI becomes an integral part of leadership, teamwork, and organizational culture, not just another special project. It evolves into a natural, everyday tool for getting work done.

Challenges

Why AI initiatives get stuck

Four patterns you hear about in podcasts or read about in the media. We see them again and again, and none of them can be solved with a better tool. They are all organisational, leadership and cultural challenges.

The pilot graveyard

Several pilots run, none becomes daily practice. Because nobody carries the organisational responsibility for the leap into the productive environment. The reasons are usually that the use case delivers no added value, no dedicated owner is defined, or the productive rollout is not planned.

The acceptance gap

Tools are there but avoided. Because people have neither been involved nor brought along. No one addresses their worries, fears, needs or wishes. Loneliness at the workplace.

The leadership vacuum

Leadership delegates AI to the IT team or externals and drops its backing as soon as things get uncomfortable. Without a role-model function, stance and support from leadership, there will be no AI in daily practice.

The governance question

As long as roles, rules and responsibilities are unclear, they block every good initiative. Governance is not bureaucracy – it is transparency and enablement.

Positioning

Your organisation's AI maturity

Five levels, consistently taken from an organisational perspective:

Level 01

Curious

Individuals use AI privately. No frame, no strategy, no leadership stance.

Level 02

Experimenting

First pilots are running, without a leadership frame and without acceptance work. Results and benefit remain unclear.

Level 03

Structured

Target picture, governance and capability building take hold. Responsibility is clarified, acceptance is not yet fully in place.

Level 04

Scaled

Clear application areas are productive in daily work. Multipliers carry the topic; capability grows in a planned and meaningful way.

Level 05

Integrated

AI capability sits in leadership, teams and culture. AI is daily practice, no longer a project.

Today, most companies find themselves in one of the first three phases. Measurable productivity and, above all, bottom-line impact emerge in phases four and five.

Tools

Our building blocks

Six tools from the transformation toolkit, always tailored to your specific requirements for AI implementation. We adapt combination and depth to your situation.

Focus

Application-area prioritization

Which use cases will people in your organisation actually adopt

Not technical feasibility – IT partners check that – but organisational impact, chances of acceptance and strategic relevance.

Structure

AI governance

Roles, rules, decision paths

Regulatory foundation (EU AI Act, GDPR), compliance and organisational process reliability, as a clear frame of action for everyone involved.

Acceptance

Acceptance formats

Poker-based workshops

Uncertainty, fear and overconfidence around AI become tangible at the table. We work with people, not against them. Our SMART STAKES method offers unique added value in exactly this context.

Leadership

Leadership enablement

What does leadership mean in the age of AI

Capability building in Executive Management and the leadership team, so they acquire the necessary tools for the AI leadership task.

Multiplication

AI multiplier program

Internal multiplier network

Together with you, we build a network of internal AI champions (multiplier). When we leave, they are there and carry the topic forward.

Measurement

Impact measurement – people & organisation

Not usage numbers, but real difference

Working time, quality, satisfaction, clarity. KPIs your CEO takes seriously and your people understand.

The core

The human factor

Every AI implementation is, in the end, a cultural question. If you don't take people with you, you end up with an expensive tool and a silent workforce.

We work with people, not around them – that is the core of our offering and what distinguishes us from pure tech consultancies and AI vendors. We speak with your workforce, not only with your CIO.

What emerges is an organisation that no longer fears AI but uses it, and leaders who understand what this means for their role.

Make fears visible

What really worries the workforce – and what does not. Without this clarity, no acceptance work is possible.

Build capabilities

Sceptics become multipliers. Multipliers become culture. Culture becomes daily practice.

Win multipliers

Structured communication for executive sponsors and employees. Messages that resonate in everyday work.

Bring the workforce along

Structured communication from board to team meeting. Messages that are understood in daily work and create tangible benefit.

Live transformation

Making change tangible • AI designers, visionaries and implementers at all levels.

Approach

From application area to daily practice

Five phases, clearly sequenced. We make sure the technical implementation is accepted in daily practice and delivers its positive impact.

Phase 1

Positioning

Maturity, culture, capability, running initiatives • the diagnosis from an organisational perspective.

3–4 weeks

Phase 2

Target picture & governance

Where do we want to go, who decides what, which rules apply. Charter, bodies, roles – the organisational foundation. 4–6 weeks

Phase 3

Prioritize application areas

Focus beats breadth! Clear goals, clear prioritization. 2–3 areas are tackled consistently and implemented. 6–8 weeks

Phase 4

Rollout & acceptance

Build a multiplier network, scale capability, stabilize usage and live the change story, with regular adjustments to stay on course. ongoing · several waves

Phase 5

Anchoring & handover

AI governance is lived daily practice, multipliers act independently. We step back, your team drives on. final 6–8 weeks

Collaboration model

We are not the consultants who just do everything. We are the team that additionally enables your people.

Youe role

You lead

Executive Management decides which application areas, which investments, which rules. Role-model and orientation functions as guideposts and pace-setters.

Our role

We structure

Methodology, AI capability, governance design, facilitation of acceptance efforts, and implementation management through a Transformation Management Office. The organisational side of AI transformation.

Your team

Your team changes

In the end, your people are the ones working with AI – and the ones thinking it further. No one else.

At a glance If you do not have an in-house IT development team or a preferred technology partner, we can bring trusted partners into your project to support technical implementation, tool selection, deployment, operations, and maintenance. We work with a network of specialized AI technology partners and, whenever appropriate, are happy to introduce them and coordinate the collaboration on your behalf.

At a glance

Framework conditions

The key facts and figures to help you understand what should be invested in a successful transformation process:

3– months

typical engagement duration based on your maturity level and ambitions.

2–

Prioritized use cases · Focus beats breadth in the first year.

Governance

Foundation · Ensure organizational and regulatory readiness

Champions

Internal champion network for lasting organizational adoption

Outcome

What you get

At the end of our engagement, there is not an isolated solution but an organisation that lives AI and drives it forward itself.

A target picture and an AI governance that carry leadership, workforce and regulation.
Two to three prioritized application areas in which AI is lived daily practice – technically implemented, organisationally anchored.
An internal AI multiplier network (champions) that carries and further develops the topic.
A leadership team that doesn't delegate AI but shapes it.
A workforce that doesn't fear AI but uses it.
An experience- and results-oriented process that is lived, understood and sustainably effective.

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