STRATEGY &
CONSULTING
Guiding your AI journey from initial strategy to a fully operational platform. Technology-agnostic. Practical. Secure by design.
Strategy. Use Case Discovery. Secure Integration.
AI transformation that works in the real world
AI only drives impact when strategy meets execution.
We don’t stop at theoretical concepts. We operationalize AI for your daily business.
From identifying high-ROI use cases and selecting vendor-neutral tech, to delivering secure, GDPR-compliant platforms – we build solutions that create measurable value.
From Vision
to Application
Tech follows
Use Case
Structure. Focus. Feasibility.
The path to an effective AI strategy
Where do we start? Where is the biggest leverage?
We help you cut through the noise. From evaluating your data foundation to the final roadmap, we don’t just identify potential – we make it actionable through clear architecture and technology decisions.
Identifying
AI potential
Secure data &
tech architecture
Developingf
AI platforms
AI implementation in 4 phases
Our consulting approach
Our process is designed to transition your business efficiently and securely into the AI era.
We guide you from analyzing your goals and evaluating your current tech stack, to prioritizing high-value AI projects and building a detailed implementation roadmap. Through tailored training and the rollout of these initiatives, we support you step-by-step toward an AI-driven future.
Bringing
use cases
to life
Building your
AI platform
Agentic AI &
Automation
Navigating AI implementation
Our Workshops
In the rapidly evolving landscape of AI, clear direction is essential. Our specialized workshops provide the structured framework you need to confidently harness AI’s full potential.
AI Strategy Workshop: Lays the foundation for your transformation by defining strategically aligned AI objectives.
AI Potential & Use Case Workshop: Pinpoints and prioritizes high-impact applications to maximize your operational efficiency.
AI Guidelines Workshop: Establishes custom policies to ensure safe, ethical, and compliant AI adoption across your organization.
Together, these workshops deliver an end-to-end roadmap, guiding you from initial planning to the responsible, scalable execution of your AI initiatives.
Your compass for a data-driven future
AI Strategy Workshop
Bridge the gap between vision and execution. This workshop translates your corporate strategy into measurable AI goals. By assessing current processes, evaluating potential, and engaging key stakeholders, we build a resilient foundation for a successful AI rollout.
Agenda
Current-state assessment
This initial phase lays the groundwork for the workshop through a systematic assessment of your current baseline. We conduct a structured review of key areas, including market dynamics, the competitive landscape, your available data, and your high-level process architecture.
The goal: To establish a clear, shared understanding of exactly where your company stands today.
The deliverable: A comprehensive status report—featuring an initial data and process inventory—that serves as the foundational baseline for all subsequent steps.
SWOT & AI maturity analysis
Building on your initial baseline assessment, these analyses provide a data-driven foundation for defining your strategic goals and pinpointing concrete opportunities for AI optimization.
We conduct an AI-focused SWOT analysis to map your internal strengths and weaknesses against external market opportunities and risks.
In parallel, an AI maturity assessment evaluates your organization’s current readiness, technical capabilities, and infrastructure.
Stakeholder alignment
Securing broad buy-in and support is critical to the success of your future AI strategy.
In this phase, we identify and actively engage key stakeholders both within and outside your organization. We systematically capture their expectations, concerns, and specific needs regarding AI initiatives.
By creating a visual stakeholder map of these relationships and interests, we lay the groundwork for targeted, highly effective communication and engagement strategies.
Definition of strategic AI objectives
Leveraging the insights gained in the previous phases, we now set the strategic direction for your AI initiatives.
Together, we define concrete, measurable, and strategically relevant AI goals tailored to your business, aligning them directly with your identified opportunities and stakeholder expectations.
Using the SMART framework, we ensure every objective is clearly documented: Specific, Measurable, Achievable, Relevant, and Time-bound. Simultaneously, we establish clear Key Performance Indicators (KPIs) to track progress and guarantee measurable success.
Your guide to maximum impact
AI Potential & Use Case Workshop
Discover where AI can drive the most value. This workshop identifies untapped AI opportunities within your existing workflows. We help you develop and prioritize use cases, evaluate technological feasibility, and build a clear, data-driven business case for implementation.
Agenda
Use case ideation
We kick off this phase by broadly identifying internal processes that are ripe for AI optimization.
By clustering these initial ideas, we formulate strong hypotheses for the most promising use cases.
The goal is to cast a wide net, collecting and organizing a robust pipeline of high-potential starting points across your organization.
Current process mapping
Moving from broad ideas to concrete targets, we develop detailed profiles for three to six prioritized workflows.
By thoroughly mapping the „as-is“ state, we gain a crystal-clear understanding of your current operations, bottlenecks, and the specific challenges your team faces daily.
Tech matching & future-state design
Next comes „tech matching,“ where we align the right generative AI technologies – or other highly relevant AI methods – with your prioritized processes to unlock maximum efficiency.
In parallel, we design and document the „to-be“ target process, mapping out exactly how your optimized workflows will function post-implementation.
Value & ROI analysis
In the final phase, we rigorously evaluate and prioritize the developed use cases by building streamlined business cases.
Using a Complexity/Value matrix, we weigh the expected ROI against the estimated implementation effort. This ensures you invest your resources solely into the most viable, high-impact AI opportunities.
Your framework for responsible AI
AI Guidelines Workshop
Innovate safely. This workshop develops customized AI governance protocols, translating your company’s values and strategic goals into actionable rules. We help you establish a secure, ethical, and fully compliant environment for enterprise AI adoption.
Agenda
Introduction & context setting
We begin by introducing the critical role of AI guidelines within your existing strategy and operational landscape.
Using a comprehensive AI guidelines template as our foundation, we establish a shared understanding of core compliance and ethical topics. Together, we discuss your organization’s specific needs and unique challenges to determine exactly how the framework must be adapted.
Policy evaluation & customization
In this core working session, we systematically review the template to evaluate the relevance of each section for your business.
We identify which standard principles can be adopted and where custom policies are required. By bridging the gap between industry best practices and your unique corporate culture, we draft a tailored, first-version policy document that directly addresses your specific workflows and AI use cases.
Finalization & implementation strategy
In the final phase, we refine the drafted guidelines to ensure they are highly practical and actionable.
After finalizing your company-specific AI policy, we design a comprehensive rollout strategy.
This includes a clear roadmap for internal communication, employee training, and the seamless integration of these new rules into your existing corporate governance and operational workflows.
From Prompt Engineering to Kontext Engineering
Autonomy over Automation: How AI Agents are Changing Business Rules
How does the World use ChatGPT?
Where is AI Heading? An overview of the current state of AI developments
Indeed AI at Work Report 2025: How GenAI is Rewiring the DNA of Jobs
Which AI ChatBot dominates the market?
How Generative AI Is Rewriting the DNA of Work — and What It Means for Professionals
Mastering Real-Time AI Conversations: Designing Prompts for Natural Speech
10 Prompt Blueprints for Better AI Results
Marketing in Transition: The 7 Key Shifts
11 Instant Tips for Better Prompting
IDC FutureScape: Worldwide Artificial Intelligence and Automation 2024 Predictions
WEF/PwC: Leveraging Generative AI for Job Augmentation and Workforce Productivity
Boston Consulting Group: Where’s the Value in AI?
WEF & Accenture: Governance in the Age of Generative AI
McKinsey: The state of AI (How organizations are rewiring to capture value)
OpenAI & Harvard University: Insights into ChatGPT Usage by 700 Million Users
Stanford Institute for Human-Centered AI: AI Index Report 2025
National Engineering Policy Centre: Engineering Responsible AI
WEF: AI in Action – Beyond Experimentation to Transform Industry
Bitkom Research: Künstliche Intelligenz in Deutschland
UNIDO: Bridging the AI Divide – Empowering Developing Countries through Manufacturing
Who on Earth Is Using Generative AI?
OECD Report on Artificial Intelligence in Germany
Accenture: Technology Vision 2024 – Human by Design
IBM Global AI Adoption Index 2023
McKinsey: The State of AI in 2023
The Presidio Recommendations on Responsible Generative AI
Artificial Intelligence: Adoption, Applications and Barriers in Germany in a European Comparison
The Economic Potential of Generative AI: The Next Productivity Frontier
