System Audit

Where does your company stand – and what does it need to operate like a tech company.

Why We Don’t Just Get Started

Before we write a line of code, we need to understand your company as a system. Not your wishes – your reality. How data flows. Where coordination occurs. Which processes are tied to people instead of structures. Where the real friction lies – not the obvious, but the structural. AI is fundamentally changing what is possible with software. Systems that recognize patterns, prepare decisions, manage processes, and learn from experience – this is no longer the future; we are already using it productively today. But AI needs a foundation. Without consistent data, without integrated processes, it remains ineffective.

The system audit reveals both: Where your company stands today – and what AI could specifically do for you, if the structure is right. It makes visible the gap between your operational reality and what is technologically possible today.

What the System Audit Is

The system audit is a structured analysis of your company – with a clear outcome: a document that shows where you stand today, what is technologically possible, and how to get there. No sales pitch. No glossy presentation. Just an honest, informed assessment of your operational reality – and a concrete roadmap for the journey to becoming a tech company.

The system audit is the first real step in a collaboration. It lays the foundation for everything that follows: architecture, development, implementation.

How the System Audit Works

The system audit consists of three phases. The entire process typically takes two to four weeks and is conducted remotely – via video call, without travel effort.

Phase 1 – Preparation

You tell us how your company operates – from your perspective, in your words. No questionnaires, no homework. We want to understand what drives you, where the hurdles are, and what you hope to achieve with a change. Based on this conversation, we conduct our own preparation: we analyze your starting point, identify the relevant areas, and develop a plan for the next phase – who should be interviewed on which topics, where we suspect the biggest levers are, and which questions need to be answered.

Your effort in this phase: one to two conversations with the top management. We handle the rest.

Phase 2 – Interviews

This is where the real understanding develops. We conduct targeted one-on-one conversations with two groups:

  • Executives – Management, department heads, decision-makers. Here we focus on strategy, expectations, and pain points. What should the company be capable of in two to three years? Which decisions take too long? Where is transparency missing? What has been tried before – and why wasn’t it enough?
  • Key Users – operational employees who work daily with the systems. Here we focus on reality. Which programs are opened in what order? Where is data transferred from one system to the next? What runs over Excel, what over email, what through word of mouth? Where is time consumed in coordination rather than value creation?

The key users will show us their daily work. This is often more revealing than any description. We see the workarounds, the media breaks, the points where people do tasks that a system should handle.

Typically, we conduct five to ten interviews – depending on the size and complexity of the company. Each lasts 45 to 90 minutes.

Phase 3 – Evaluation and Report

We condense everything we have heard, seen, and analyzed into a comprehensive document: the system audit report.


What the Report Contains

The report is the central result of the system audit. It consists of six parts:

  • **Company Understanding: ** A compact summary: What does the company do, where is the value creation, what creates operational complexity. This section shows you that we understand your business – not just your IT.
  • **Current State Analysis: ** The honest assessment. What does your system landscape look like – which systems are in use, how are they interconnected, where are the gaps? How do your core processes run, and where does friction arise? How does data move through the company – and where do duplicates, gaps, or manual transfers occur? Additionally: an assessment of where your company stands in the context of our 3-stage model. Do you already have a solid foundation? Or is there a lack of order that everything must build upon?
  • **Pain Points and Prioritization: ** The concrete operational problems – identified, described, and prioritized by impact. Not what you told us, but what we distilled from all conversations and observations. Often, a pattern emerges here that remains invisible in daily operations.
  • **Potential Analysis: ** What would be possible if the systems worked correctly together? And, more importantly: What could AI specifically do for your company? Here, we make tangible what "See What's Possible" means for your situation. Not abstractly, but based on your real processes: Where could AI prepare operational decisions? Where could bottlenecks be detected before they arise? Which manual tasks – data processing, reporting, classification, text generation – could a system take over? Where could AI agents analyze your data in real time and answer questions for which someone currently spends half a day compiling exports? We clearly differentiate: What are quick improvements that take effect immediately? What requires a deeper architecture? And what is already realistic today – and what will be in the next one to two years?
  • **Architectural Design and Concept: ** The proposed system architecture – at a high level, but concrete enough to make decisions. Which components need to be rebuilt? What can be integrated? What must be replaced? It is crucial that: The architecture is designed from the outset for AI capability. Not as an afterthought, but as a fundamental principle. A consistent data model that can leverage AI. Integrated processes into which AI results flow directly. A structure that creates order today – and becomes learnable tomorrow. Categorized within our 3-stage model: what belongs to order, what to effectiveness, what to freedom. And where exactly AI comes into play – not eventually, but at specific points in your operational everyday life.
  • **Implementation Roadmap: ** A concrete plan: phases, sequence, rough timelines, and estimated effort in man-days. What comes first and why. What depends on what. What resources and involvement you should plan for.

What the System Audit Is Not

The system audit is not a sales tool. It is a standalone service with a distinct outcome. Even if you do not continue working with us afterward, you will have a document that clearly shows you where you stand and what you need.

Any other service provider could work with this report. That is intentional. In practice, the system audit almost always leads to collaboration – not because we aim for that, but because the report creates a clarity that wasn’t there before. And because it becomes visible what would be possible.


Why Remote?

Our system audits take place completely remotely. This is the better option. Remote conversations are more focused and shorter. They can be spread over several days instead of cramming everything into a long workshop day. Key users can share their screen and show us their real daily work. And for you, the organizational effort of coordinating external consultants on-site is eliminated. What we need for the analysis – process understanding, system knowledge, operational reality – can be captured as effectively remotely as on-site. Often even better, because the conversations are more concentrated.


For Whom Is the System Audit Meaningful

Our system audit is aimed at companies that feel their operational complexity has become greater than their systems. Those who know that a new tool is not enough – but don’t yet know what is actually needed instead. Typical starting situations:

  • Data is spread across multiple systems, none tells the full truth
  • Growth creates more effort instead of more freedom
  • Coordination costs more energy than value creation
  • AI sounds promising, but the foundation is lacking
  • A new system is under discussion, but the direction is unclear

If you recognize yourself here, the system audit is likely the right starting point for you.

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