Many companies know that AI has huge potential — but the key question remains: Where do we start, and what delivers real value? Together with you, we develop a clear AI strategy with a focus on communication and recurring tasks. Easy to understand, economically sound, and tailored to your business — as the decision-making foundation for everything that follows.
Strategy before implementation — so AI delivers real results
AI is not an end in itself. Without clear goals, prioritization, and integration into existing workflows, companies end up with isolated solutions, high costs, and low adoption. A solid AI strategy ensures automation is applied where it creates real value — and relieves people where it truly makes sense. We help you think about AI not just technically, but as part of your communication, processes, and organization.
Strategic positioning & target vision
Together we clarify what role AI should play in your company: support, automation, or scaling. From this, we develop a clear target vision that fits your organization, your customers, and your market.
Analysis of communication & tasks
We review your existing communication channels, processes, and tasks. This allows us to identify typical bottlenecks, manual effort, and opportunities for AI support — without disrupting day-to-day operations.
Prioritization & business case
Not every use case makes sense. We assess opportunities based on value, feasibility, and acceptance. The result is a prioritized overview that shows where AI pays off — and where it doesn’t.
Decision basis & roadmap
In the end, you get a clear basis for decision-making: recommended next steps, a high-level roadmap, and an assessment of whether products, custom solutions, or a combination makes sense.
Our consulting follows a structured process — from the initial assessment to a clear recommendation. In four steps, we develop your AI strategy together.
01
Initial call & alignment
In a no-obligation conversation, we understand your current situation, goals, and challenges. We clarify whether and where an AI strategy makes sense.
02
Analysis of communication & tasks
We analyze existing communication paths, tasks, and processes and identify relevant AI opportunities.
03
Evaluation & prioritization
The identified opportunities are assessed in a structured way — based on value, effort, and organizational fit.
04
Strategic recommendation
You receive a clear recommendation including next steps: whether and how to move forward — for example with concept work, development, or specific products.
Customer testimonials
„Unser Support-Team nutzt die KI von livestep intensiv und wird dadurch schneller und präziser. Die Intelligenz des Systems ist sehr beeindruckend. Ich bin begeistert!”
An AI strategy often raises more questions than answers — especially at the beginning. Here you’ll find answers to common questions about getting started, value, and decision-making before it comes to specific solutions or implementation.
An AI strategy defines where, why, and how artificial intelligence can be used meaningfully in your business. It creates clarity on goals, opportunities, and priorities — without committing to specific technologies or products yet.
Yes — at least a basic one. Without strategic alignment, isolated solutions, unnecessary costs, or low adoption can happen quickly. An AI strategy ensures later decisions are well-founded, transparent, and economically sound.
AI strategy answers “What makes sense?” Implementation and development answer “How do we build it technically?” This page is intentionally focused on orientation, prioritization, and decision foundations only.
No. Many companies start without clear AI ideas. Together we analyze communication, tasks, and processes and derive meaningful opportunities — structured and easy to understand.
No. During the strategy phase, we deliberately do not commit to specific products, tools, or vendors. The goal is to create a neutral decision basis — only afterwards do we decide whether products, custom solutions, or both are the right choice.
Yes. An AI strategy can also help you decide not to invest right now or to prioritize topics. It creates clarity, reduces uncertainty, and serves as guidance for future decisions.
You receive a clear assessment of opportunities, priorities, and sensible next steps. Whether and how you continue — for example with concept work, development, or AI products — is your decision based on that strategy.
From clarity to a concrete solution
An AI strategy answers the most important question: what makes sense — and what doesn’t? The next step is to translate these insights into concrete use cases, workflows, and requirements. This is exactly where concept and consulting begin — as the bridge between strategy and implementation.
In a no-obligation first call, we’ll assess together whether and where AI can create real value for your business — honest, structured, and without sales pressure.
