AI Potential Audit. Identify Use Cases.

Assess AI potential. Before budgets are committed.

1. 01

   The challenge

   Hardly any topic currently creates as much pressure of expectation as artificial intelligence, from boards, shareholders and competitors. What's missing is the foundation: which processes are suitable for AI, where is the data situation sufficient, and which use cases pay into strategic goals? Without this analysis, projects emerge that tie up more resources than they free up.

   Companies that fail to create clarity now either invest in the wrong initiatives or not at all, while competitors build concrete advantages.
2. 02

   Our approach

   The AI potential audit is a structured workshop format over 1–2 days, on a fixed-price basis. We analyse processes, data quality and existing system landscapes together with the responsible teams. The result is not a presentation of general trends, but a prioritised assessment matrix with three to five concrete use cases, rated by effort, impact and technical feasibility.

   The audit delivers the decision basis, not an implementation project. Those who want to implement afterwards can move directly into our AI implementation with us. Scope and price are fixed before the start, with no open cost items.
3. 03

   Deliverables

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   Analysis of relevant processes and data availability

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   Assessment matrix with 3–5 validated AI use cases

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   Prioritised AI roadmap for the next 12 months

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   Effort estimate per use case (internal and external)

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   Build-or-buy recommendation per use case

In practice

1. 01

   Industry

   Mid-market / Professional Services
2. 02

   Challenge

   Management under internal pressure to deploy AI, without knowing where, how or with what budget. Early in-house attempts with ChatGPT had shown no lasting effect.
3. 03

   Approach

   A two-day AI potential audit with the leadership level and department heads. Analysis of 11 process areas, assessment of the data situation, prioritisation workshop on the second day.
4. 04

   Result

   Four prioritised use cases identified: document classification, internal knowledge management, proposal creation, customer communication. Two of them moved straight into implementation, with budget and timeline clear from the start.

Frequently asked questions

• What does an AI potential audit cost?

  The audit is offered on a fixed-price basis. Scope and price are agreed bindingly in advance. The scope depends on company size and the number of process areas to be analysed. Initial orientation in the first conversation.

• What happens with the AI readiness score?

  The AI readiness score is a structured online assessment: 10 minutes, no registration. Based on the answers, companies receive an assessment of their AI maturity across four dimensions: data situation, process maturity, team competence and strategic alignment. The assessment does not replace an audit, but immediately shows where the biggest gaps are, and whether an audit is the right next step.

• How does onboarding work?

  Start the AI readiness score or book an initial conversation directly. In the conversation we clarify which processes and teams are involved, what time frame is realistic and what should follow the audit.

• What happens after the audit?

  The audit delivers a roadmap with prioritised use cases. Those who move straight into implementation can move directly into our AI implementation with us. No loss of information, no new briefing.