Effectively Integrating AI So that work truly improves.

Most AI projects don’t fail because of technical issues. They fail due to unresolved legal questions, unclear responsibilities alongside day-to-day operations, and people who aren’t on board. We bring all three together for your specific project: legal clarification, organizational management, and empowering people to work as a team.

Learn about our approach

Where are you right now?
Three typical starting points.

You're looking for the right place to start.

There are many ideas, but no criteria for determining which ones solve a relevant problem and are worth the time and budget alongside day-to-day operations. Your employees are likely already using AI tools—just without any guidelines.

A good place to start: Clarifying the direction

A project has stalled.

A pilot program was launched but fizzled out: unresolved legal issues, unclear responsibilities, and a lack of capacity. No one has decided whether to continue it or not.

A good place to start: Organizing the implementation

AI is up and running. But it hasn't eased the burden.

The tool works, but the process surrounding it remains time-consuming. Results require further processing, the team hardly uses the solution, and its benefits cannot be demonstrated.

A good place to start: Improving processes

Why AI is not a technology project.
And why a perspective alone isn’t enough.

AI speeds up individual tasks. However, value is only created when the entire process is on board, when someone has the time and authority to change it, and when the people involved understand the tool and trust it—and rightly so. Each of these conditions has a legal aspect: what data can be shared and where, who is liable, and what employees need to know.

Addressing only one of these aspects does not solve the problem; it merely postpones it. That is why the adoption of AI represents a transformation of work, decision-making, and responsibility driven by technology. The greatest leverage lies not in the tool itself, but in the organization:

10 % Algorithms 20 % Technology & Data 70 % People & Processes

A practical guideline derived from counseling research (BCG); not a measurement formula.

Without legal clarification

uncertainty remains: covert use, contractual risks, and management liability.

Without a control system

the pilot remains an isolated case: Day-to-day operations take precedence, no one makes a decision, and the benefits remain mere claims.

Without leadership and empowerment

the tool remains unused or is adopted without careful consideration. Feedback is not incorporated.

What, specifically, is causing it to fail.
Six examples from studies and from our work. None of them are technical.

There is no clear work problem. Tools are being tested instead of solving anything.
AI speeds up one step, but handoffs, checks, and rework negate the benefit.
Responsibility, priority, and capacity remain unclear. Day-to-day business takes precedence.
The legal framework is unclear: either a standstill due to uncertainty or implementation without clarification.
Employees are not equipped to handle their actual tasks; concerns remain unaddressed.
The pilot project never becomes routine: no internal accountability, no maintenance, no training.

In an OECD survey of more than 5,000 small and medium-sized enterprises, 54% of non-users cited legal concerns and 50% cited a lack of employee skills as obstacles. Both issues can be resolved by considering them in the context of the specific process in question.

Three perspectives.
One team, one project.

An AI project is changing the way people work and how decisions are made. That’s why we’re using this same project to determine what’s legally possible, how the process works, and what the people involved need to make it happen.

Law, Data Protection & Compliance

What legal requirements apply to your specific use of AI?

Clarify use cases, data flows, and intended uses
Review providers, contracts, trade secrets, and customer agreements
Clear rules for use and the required AI proficiency among employees

Benefits for you
You’ll know how far you can go, what needs to be clarified beforehand, and who is responsible for what.

Management, Processes & Decision-Making Pathways

What are we improving, who makes the decisions, and how can we ensure that the work progresses reliably?

Balance goals, priorities, budget, and capacity against day-to-day operations
Map out processes from start to finish, and address bottlenecks and handoffs
Measure benefits, quality, and overall effort in day-to-day operations

Benefits for you
A clear focus, accountable decision-makers, and a measurable standard for progress.

Leadership, Empowerment & Culture

How can leaders and employees understand, help shape, and support this change?

Identify strengths and talents and deploy them where AI can lighten the load
Support leaders, address concerns, and foster engagement
AI proficiency for one’s own role: apply, evaluate, and recognize limitations

Benefits for you
Your employees use AI in a targeted and critical manner, contribute ideas, and help drive change.

It’s the context that makes the difference. We don’t address the three perspectives one after another in separate projects, but rather simultaneously within the same initiative. That’s why all
three are incorporated into each of our modules, with varying degrees of emphasis.

Systems are developed by your IT department or an implementation partner from our network. We ensure that they work effectively within your organization. And we’ll also let you know if a simpler solution without AI is sufficient.

Four modules.
The introduction is based on your problem, not our model.

Sometimes the first step is to get some guidance on business management; other times, it’s about creating more efficient workflows within the team. We’ll decide together how to get started.

Module S1 Clarify AI direction and priorities This approach is ideal when ideas are competing without a clear selection process or a shared direction.

As a result, you will have a well-reasoned initial project with defined objectives, scope, success criteria, and a clear understanding of what needs to be evaluated.

Module S2 Organize Leadership and Implementation This is ideal when projects stall due to unclear responsibilities, competing tasks, or a lack of decisions.
As a result, you’ll have clear mandates, committed resources, designated subject-matter experts, and a decision-making process that keeps pace with day-to-day operations.

Module O1 Improving workflows and testing AI This is ideal if you want to understand whether and how AI can really help with a specific process.
Afterward, you`ll have a process tested on real-world cases and a sound basis for making a decision: adopt it, adapt it, or discontinue it.

Module O2 Incorporating proven practices into everyday life This is ideal when an approach has proven effective and is to be reliably integrated into your daily work routine.
Once that’s in place, you’ll have internal point people, usage guidelines, maintenance procedures, and learning routines that function without our involvement.

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The modules build on one another, but there is no set order. We will determine the scope and schedule based on your project.

Your first project in 90 days.
What you’ll have accomplished after 30 and 90 days.

After 30 days

A project brief that your management team can outline: problem, objective, success criteria, legal review status, and responsible parties. And an initial, limited test.

After 90 days

An operation that has been tested throughout the entire process, with measurable results, completed tests, and
qualified users. This is followed by a well-reasoned decision: adopt, adapt, or discontinue.

After that

A process that your company manages on its own: with internal personnel in charge, well-defined rules, and learning routines that run without our involvement.

What you need to know legally.
Three points that almost always come up during the initial consultation.

We don’t review your entire company—we focus on your specific use of AI.

Which tools, which data, which contracts, which people: These elements define the framework within which you can operate safely. For a marketing process, it’s broad; for a hospital or an energy provider, it’s narrow.
Our legal perspective

Starting in february 2025, the European AI Regulation requires companies to ensure their employees have sufficient AI expertise. If management fails to provide this training, it may be held liable for errors in the use of AI.
The general data protection regulation applies to any entry of personal data into an AI tool, even when simply testing it.
Trade secrets and confidentiality agreements with your customers often pose a greater risk than data protection. Anyone who enters customer data into an AI system is disclosing it to a third party.

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This is how we work.
Close to the people. Close to the work.

Problem before the tool

Use AI only where it solves a real work problem. If you speed up a poor process, you’re just creating more rework faster.

Everyday life instead of a pilot.

A pilot project only counts if it proves effective in day-to-day operations: with those in charge, rules, maintenance, and the people who use it.

We'll stay until it works.

We don’t just hand over a plan and walk away. We support the implementation process without relieving your team members of their responsibilities.

That’s how the collaboration begins.
From the initial conversation to a clearly defined assignment.

1. Initial consultation: 30 minutes, online

Describe where you stand and what’s on your mind. You don’t need a formal diagnosis. We’ll be upfront about whether and how we can help.

2. Clarify the situation and the starting point

In our second meeting, we outline possible approaches, the best way to get started, the people involved, and how success will be measured. This results in a clearly defined proposal.

3. Implementing It Together

We work with your team leaders on a 30- and 90-day cycle. Insights gained from implementation are continuously incorporated into our next steps.

Schedule an initial consultation

A team
Who’s there for you.

Nicole Frister

Network Partner, Digital Lawyer

Sabine Rodewald

Founderin, Business Consultant and Coach

Sebastian Nickel

Partner, Business Consultant and Coach

Theresa Huber

Partner, Business Consultant and Coach

Heinke Bock

Partner, Business Coach

Xiang Hong Liu

Network Partner and Business Coach

Angelika Keller

Network Partner, Business Consultant and Coach

Helen Scheithauer

Network Partner, Trainer and Business Coach

Schliessen

The first step is a conversation

What do you hope AI will improve for your organization? Tell us where you stand.

In 30 minutes, we’ll determine which approach is right for your project, what it requires, and whether we’re the right partners for it. No obligation and no preparation needed.