AI audit · roadmap · from €2,900
Prioritise AI investments before budget is committed to tools and pilots.
The AI audit compares potential scenarios by business value, effort, data readiness and risk. You receive a prioritised roadmap and a clearly defined proposal for the next step.
Business Impact
Check quality
Visible boundaries
Scope and Participation
Roadmap Focus
Next Step
When is it a good idea?
When there are many options available, but priorities are lacking.
An AI audit gives decision-makers orientation. It makes technical dependencies visible and shows which initiatives appear commercially and operationally worthwhile.
The agreed scope, assessed areas and evaluation criteria are defined before work begins, keeping the initial investment manageable.
When
There are many AI ideas
However, the benefits, costs, risks, and available data have not yet been evaluated in a comparable manner.
When
Budgets should be used in a targeted manner
So that tools aren't invested in before the actual problem is understood.
When
a pilot is supposed to take off
But it remains to be seen which use case will deliver benefits and learning gains quickly enough.
Process
From an overview to a prioritized roadmap.
01
Starting Point
Identify processes, systems, data sources, pain points, and goals.
02
Use Cases
Gather ideas, refine them, and organize them by user group and business relevance.
03
Rating
Assess benefits, effort, data quality, integrations, risks, and governance.
04
Roadmap
Identify specific next steps, a pilot proposal, and the order of implementation.
What You Receive
A documented basis for the next budget decision.
You receive a prioritised list of the assessed scenarios, an evaluation of value, effort, data readiness and risks, and a recommended sequence.
A concrete next step is defined for the most useful starting point, such as the quotation process assessment for technical quotations, a readiness phase or a focused pilot. Initiatives that should not be pursued for now are documented as well.
Typical Project Framework
Scope, Participation and Deliverables Are Defined before the Project Starts.
The AI audit is tailored to the number of business areas and use cases being assessed. After the discovery call, you receive a written proposal covering the schedule, cost framework and required stakeholders.
Assessment Scope
Selected Business Areas
The processes, use cases, systems and deliberate exclusions to be assessed are agreed in advance.
Client Involvement
Decision-Makers and Process Owners
Management, process owners and, where needed, IT or data protection stakeholders contribute objectives, operational knowledge and available documentation.
Outcome
Assessment and Roadmap
You receive a prioritised basis for decision-making with prerequisites, risks and a clearly defined next step.
Project Proposal
Entry from €2,900 net
Duration, milestones, deliverables and the fixed price are set out in writing after scoping – depending on the number of areas covered.
Next Step
Let us start with a clear assessment.
During the initial consultation, we’ll discuss your vision, your existing ideas, and whether an AI audit is the right place to start.