AI readiness assessment
AI Strategy with a Readiness Assessment
From kick-off to results workshop
For management and budget approval
Subsidy for strategic consulting
An AI readiness assessment is a structured review that shows how well a company is prepared to use AI and which use cases are worth pursuing first. It forms the foundation of every AI strategy.
We look at five dimensions:
A strong AI strategy connects your business goals with the use cases that deliver the greatest value. In our AI readiness assessment we evaluate your data, systems and processes and derive a roadmap with a clear business case, so you introduce AI with focus and confidence.
The readiness assessment is the starting point of our AI consulting for mid-sized companies.
across all five dimensions, with concrete action areas
ranked by value and feasibility
for the first 90 days
matched to your data protection requirements
for management and budget approval
High value, fast to implement. Example: capturing incoming invoices, classifying service emails.
High value, multi-stage implementation. Example: knowledge assistant across all company documents.
Solid value, fast to implement. Example: draft texts for proposals and sales.
Potential for later stages. Example: forecasts based on new data sources.
Deliver quick wins, launch a pilot with real data, adopt an AI policy.
Metric: hours saved, adoption rate
We describe how individual use cases are implemented under Automate processes with AI.
Integration into core systems, rollout to further departments, training programme.
Metric: cycle times, quality, satisfaction
Scaling, governance system, new areas of application.
Metric: contribution to results, reuse
The framework for this is covered under EU AI Act compliance.
A robust business case does not assess AI in general terms but for each use case individually. We follow four steps.
We measure how the process runs today: volumes, handling times, error rates and the roles involved. This baseline makes every later improvement verifiable.
We assess staff costs using a full-cost approach: gross salary, employer contributions and a share of overheads for workplace, IT and administration. On the AI side, we include implementation, operations, model usage and further development.
Beyond time saved, we assess effects that cannot be expressed directly in hours: higher quality, faster response times and scalability as volumes grow.
Costs and benefits determine the return on investment and the payback period. Scenarios based on cautious and expected assumptions show how robust the result is.
During the readiness assessment, we build the business case with your own figures. The result is a sound basis for management and budget approval.
Every step is planned transparently: AI project costs at a glance.
Define goals, scope and contacts.
Interviews with business units, review of data, systems and processes.
Discuss maturity, use case matrix, roadmap and business case together.
If you wish, we implement the first use case together with you, as a pilot with real data.
Usually one to two weeks, from kick-off to the results workshop.
Management or division heads, IT and two to three business units with recurring, data-intensive tasks.
An overview of your systems and a few examples of typical documents or transactions are enough to get started.
In a clear sequence: readiness assessment, prioritised roadmap, pilot with real data, rollout with training and defined ownership.
The assessment is offered at a fixed price. You receive a transparent estimate for every following step.
You decide freely on the next steps. If you wish, we implement the first use case together with you.
In an intro call we clarify goals and scope and schedule your readiness assessment.
